Total 5,468 Others data entry job vacancies in Australia

• Up till $3,500 Basic + Bonus

• 5 days work week

• No experience welcomed
  

Our Client, a leading supplier of sensors, measuring systems, laser markers, microscopes, and machine vision systems worldwide, is inviting qualified candidates to fill the position as Data & Marketing Officer.

RESPONSIBILITIES:

• A chance to make a significant impact with your data analysis skills from the very beginning, increasing company performance

• Creating data to serve as a foundation for sales analysis and market development using software from Microsoft, SAP, and Keyence’s own software

• Not just updating existing data, but using it to guide sales direction and actions

• In the Marketing department, tasks include promotional actions, lead generation, and contributing to sales strategies. This position is suitable for those eager to gain a wide range of experiences in all B2B marketing initiatives
  

REQUIREMENTS:

• Degree in Marketing, Business and Engineering

• At least 1 year of relevant experience

• No experience are welcomed to apply

• No data analysis experience is fine as long willing to learn

• Must possess proficiencies in Excel and PBI/Tableau.

• Power Automate will be a plus

Roles & Responsibilities

The Rotating Shift Technician is responsible for supporting 24×7 data centre operations, ensuring the reliability, safety, and continuity of all Mechanical & Electrical (M&E), critical infrastructure, and facilities systems in accordance with approved procedures, service level agreements (SLAs), and safety requirements.

·      Perform continuous monitoring, routine patrols, and inspection of data centre infrastructure, critical facilities, and associated equipment.

·      Manage day-to-day maintenance coordination, and escalate any critical troubleshooting requirements that needs to be conducted by manufacturers.

·      Conduct routine checks of M&E and critical systems performance.

·      Record and report daily operating conditions, abnormalities, and system status.

·      Supervise and oversee OEMs, subcontractors, and service vendors performing works on electrical, mechanical, fire, and critical facilities systems.

·      Ensure all vendors deliver competent, safe, and quality services in compliance with contractual obligations, site rules, and safety requirements.

·      Coordinate and monitor scheduled and ad-hoc vendor activities, ensuring proper documentation and work completion.

·      Promptly respond to incidents, alarms, and emergency situations.

·      Execute incident escalation in accordance with approved escalation matrices and emergency response procedures.

·      Provide standby and emergency support when activated, including shift stand-in or additional coverage as required.

·     Ensure proper handover and takeover of duties during shift changes.

·      Carry out duties that comply with approved SOPs (Standard Operating Procedures), MOPs (Method of Procedures), and EOPs (Emergency Operating Procedures).

·      Carry out all work strictly in accordance with site processes, operational governance, and safety regulations.

Job Purpose

The primary purpose of this position is to research, analyze, interpret, transform and present reference data for fixed income securities as well as reference data pertaining to those issuers themselves that bring fixed income debt to market.

Proficiency in English and Mandarin language is essential to communicate with Mandarin stakeholders

The incumbent must successfully complete a three month training program that centers on building enough subject matter expertise and the utilization of the database(s) of record such that the incumbent can independently analyze legal and financial documents associated with securities containing less complex fixed income structures. During training, the incumbent must master all of the subject matter and will be required to pass a series of quizzes and tests as well achieve the accuracy and timeliness metrics that were established for trainees.

The training curriculum for the Data Analyst contains high level overviews of the complex structures worked on by more senior personnel as well as reference data client use cases so that the incumbent can differentiate between legal and financial language that is relevant to and required by our client base versus jargon describing information that is not required and, so that the incumbent can identify new financing techniques that come to market. The incumbent must then apply this foundation of knowledge via a logical sequence of decision making events to determine relevancy of said information to our clients for any of their use cases and if deemed relevant, determine the appropriate next steps to ensure high client satisfaction levels. 

The fixed income market consists of over two million active securities and the reference data provided by ICE Data Services for said securities is used by our clients to make trading decisions, settle trades, make investment decisions, manage portfolios, analyze risk, create security master files, create client statements and conduct other back office functions. Our reference data is also used by internal stakeholders such as the Evaluated Pricing, Index and Analytics groups said reference data plays an integral role in determining evaluated prices, determining whether or not a security should be added to or deleted from an index or indices, the weighted average of a security within an index and, performing a series of analytical calculations that are used both internally within ICE and externally by these stakeholder’s clientele.

Responsibilities

• Analyze, interpret, collate and transform reference data provided in a variety legal and financial documents, third party reports and vendor information while ensuring that the reference data provided in ICE’s products and services accurate, comprehensive and in a timely manner, namely best in class
• Make sound, subjective decisions when interpreting legal and financial information by utilizing subject matter expertise to infer, deduce and ultimately draw the right conclusions
• Provide customer support for users of ICE products by resolving inquiries in a timely manner
• Craft external facing responses for those clients that submitted customer inquiries containing a meaningful, well-thought out, well-constructed answer that includes a restatement of the challenge or question, the analysis completed to satisfy the request and where appropriate, the methodology used to determine the solution
• Procure required documents and/or trusted content utilizing creative internet searches and by conducting direct outreach to issuers, underwriters, fiduciary agents and bond counsel
• Apply problem-solving skills to identify innovative work-flow efficiencies and process improvements resulting in increased accuracy levels, time to market and productivity
• Help identify trends and causation of inaccurate and/or incomplete data
• Participate in ad hoc projects to optimize processes and/or improve the quality of the data set
• Create charts, graphs and presentations for leadership teams
• Use Excel functions to organize, analyze and create reference data

Knowledge and Experience

• Proficiency in English and Mandarin language is essential to communicate with Mandarin stakeholders
• BA/BS in Finance, Economics, or equivalent practical experience
• Demonstrated, relevant work experience directly working in fixed income reference data operations or customer service
• Ability to work in a fast paced, high pressured, fluid environment
• Ability to distill large amounts of information into specific takeaways
• Excellent attention to detail and high degree of demonstrated decision-making and problem solving skills
• Excellent written and oral communication skills with proven ability to craft client-ready correspondences
• Eagerness to learn and collaborate with others
• Strong Excel skills required

Responsibilities

• Perform duty to manage data centre (DC) operations, maintenance, troubleshooting, project rollout and facilities related matters.
• Perform DC monitoring and maintenance on infrastructure systems, critical facilities and associated equipment.
• Perform preventive and corrective support to scheduled or unscheduled maintenance on DC infrastructure systems, critical facilities equipment and/or services.
• Ensure all subcontractors deliver a quality and competent service and all contractual obligations are met. Supervise the vendors to all scheduled and adhoc activities related to DC facilities.
• Perform DC and critical facilities work on environmental and management programs
• Perform equipment functionality test and data analysis
• Perform assets management duty, including maintaining of inventory, change and control programs and purchase of parts and supplies
• Promptly respond and attend to incident and/or emergency situations
• Provide standby support upon activation for shift duty stand-in and/or other coverage
• Conduct routine, sanity check and ongoing assessment of DC infrastructure systems and critical facilities operations

Requirements:

• Nitec / Higher Nitec / Diploma in Electrical/Mechanical/DC Infrastructure or relevant engineering discipline (Electrical, Mechanical or related fields)
• Additional certifications relevant to the industry is an added advantage
• 1 -2 years experience maintaining electrical, mechanical, fire protection system in facility management, particularly handling critical systems would be an added plus
• Strong problem-solving abilities, communication skills, and the ability to work independently and as part of a team
• Proficient in Computer skills eg. microsoft office, google emails, docs etc

5+ years of experience in data migration, data conversion, data quality, or data management projects.

• Experience supporting migration from legacy systems to modern enterprise applications, data platforms, or cloud-based solutions.

• Strong understanding of data profiling, source-to-target mapping, data cleansing, data transformation, reconciliation, and validation.

• Experience working with relational databases such as Microsoft SQL Server, PostgreSQL, Oracle, MySQL, or equivalent.

• Familiarity with ETL, ELT, or data processing tools such as Python, SSIS, Informatica, Talend, AWS Glue, or equivalent.

• Ability to work with technical teams to validate migration logic, transformation rules, migration jobs, and exception reports.

• Experience preparing clear migration documentation, data mapping specifications, cutover plans, validation reports, and reconciliation summaries.

• Strong analytical, problem-solving, and stakeholder management skills.

• Ability to communicate data issues clearly to both technical and non-technical stakeholders.

• Experience working in large-scale, secure, regulated, or public sector environments is advantageous.

Job Description:

• Responsible for the end-to-end ownership of Murex MX.3 Datamart reporting design, architecture, configuration, and delivery within a corporate banking transformation programme in Singapore.
• The role encompasses requirements analysis, datamart data model design, Datamart object configuration (dynamic tables, feeders, processing scripts, scanner templates), report development across Front Office, Back Office, Market Risk, Credit Risk, and Finance streams, and the strategic optimisation of batch report performance and EOD processing workflows.
• The incumbent will act as the primary Datamart workstream lead and Subject Matter Expert (SME), responsible for both hands-on technical delivery and the leadership of a team of Datamart reporting consultants and developers.
• The role requires deep expertise in MX.3 Datamart architecture, the Murex reporting engine, SQL optimisation, and capital markets reporting domains, combined with the team management and stakeholder engagement capabilities expected at a senior Lead level within a Tier 1 bank transformation programme.

Reporting Requirements & Architecture Design:

• Own and lead the Datamart reporting workstream for the MX.3 transformation programme, covering all user streams: Front Office (PnL, positions, trading blotters), Back Office (settlements, confirmations, nostro), Market Risk (VaR, stress testing, sensitivities), Credit Risk (PFE, CVA, CCR), and Finance (accruals, mark-to-market, P&L attribution).
• Engage directly with business stakeholders — including traders, risk managers, finance controllers, and operations heads — to gather, analyse, and formalise reporting requirements into detailed Business Requirement Specifications (BRS) and Technical Design Documents (TDDs).
• Understand the Murex system setup at the client: the organisation of support teams, EOD procedures, report delivery processes, and the interdependencies between Datamart and other MX.3 modules (FO, BO, Risk, Finance, Integration).
• Design a generic Datamart data model aligned to the bank's reporting taxonomy, then create the required Datamart objects (dynamic tables, feeders, extractions, scanner templates, processing scripts) to support all reporting use cases.
• Segregate and categorise reports by users, products, creation classes, fields required, complexity, and execution frequency to build a scalable and maintainable reporting catalogue.
• Communicate regularly with business Team Leads and programme stakeholders to ensure all Datamart deliverables are progressing as planned and expectations are actively managed.

Datamart Configuration, Development & Optimisation:

• Perform in-depth analysis of the Datamart setup and table structures to identify redundant objects, minimise batch execution time, and maximise reuse of existing Datamart components.
• Develop and configure all Murex Datamart objects: dynamic tables (PL, CS, DT, MV, LRB, PLVAR), feeders, batch of feeders, processing scripts, scanner templates, extractions, reporting tables, and pre/post filter conditions.
• Design and implement Simulation-based Reports and Risk Matrix-based reports for market risk and credit risk reporting consumers within the MX.3 platform.
• Configure and optimise EOD batch execution: implement parallel feeding strategies, resolve batch bottlenecks, tune query performance, and manage processing script sequencing within Control-M or equivalent job schedulers.
• Implement dataset historisation techniques within the Datamart to support time-series reporting, regulatory lookback requirements, and management information (MI) aggregation.
• Develop and maintain stored procedures, extractions, and complex SQL logic (Sybase/Oracle) for data processing, report population, and cross-module data joins leveraging the Murex FIN schema.
• Develop simulation views and scenario analysis reporting objects to support pre-trade and risk management reporting requirements for Front Office and Risk users.

Report Validation, Reconciliation & Quality Assurance:

• Execute processing scripts and batch jobs manually or via scheduling tools (Control-M), and reconcile Datamart report extraction output against onscreen MX.3 views and Mreport output to validate data accuracy.
• Analyse and resolve discrepancies arising from filter condition changes, feeder configuration differences, or data model modifications between Datamart report runs.
• Define and execute Datamart-specific test cases for SIT and UAT; ensure all test documentation and deliverables are consistent with programme testing standards and acceptance criteria.
• Assist in effort estimation for Datamart development and UAT scope; maintain accurate delivery tracking and escalate issues or risks to the Programme Manager in a timely manner.
• Participate in structured peer reviews of requirements, technical specifications, and testing documentation; provide constructive feedback and maintain quality standards across the Datamart workstream.

Migration, Integration & Market Data:

• Lead the migration of legacy Mreport-based reports to MX.3 Datamart equivalents, including gap analysis, mapping documentation, configuration build, and parallel run reconciliation.
• Manage market data integration and validation within the Datamart, ensuring rate curves, volatility surfaces, FX rates, and credit spread data are correctly sourced and represented in Datamart report calculations.
• Leverage NeoXam Data Hub scripting or equivalent data hub capabilities for data pipeline integration between MX.3 Datamart and downstream BI, regulatory reporting, or finance consolidation platforms.
• Coordinate with the Integration Lead to align Datamart extraction design with the broader enterprise data flow architecture, ensuring consistency of data lineage from trade booking through to report output.
• Configure MDCS (Market Data Curve Server), mxres configuration files, and launcher flags to support Datamart batch execution and reporting server performance requirements.

Team Leadership & General Management:

• Lead, manage, and mentor a team of Datamart reporting consultants and developers; delegate work effectively, review team output, and maintain delivery quality across all Datamart stream deliverables.
• Responsible for end-to-end ownership of Datamart reporting deliverables: from requirements intake through design, development, testing, UAT support, and post-deployment production validation.
• Ensure all team members are guided on best practices for Datamart configuration, object reuse strategies, batch optimisation, and coding standards within the MX.3 reporting framework.
• Demonstrate the ability to work proactively and independently where required, displaying strong initiative in identifying reporting gaps, performance issues, or data quality risks before they impact programme delivery.
• Contribute to programme governance forums by providing Datamart workstream status updates, risk and issue logs, and delivery milestone tracking to the Programme Manager and Steering Committee.

Requirements:

• 10+ years of hands-on experience as a Murex Datamart Developer, Consultant, or Reporting Lead on MX.3 programmes within corporate or investment banking environments.
• Mandatory in-depth expertise in MX.3 Datamart architecture and configuration: Datamart management, dynamic tables (PL, CS, DT, MV, LRB, PLVAR), feeders, batch of feeders, processing scripts, scanner templates, extractions, and reporting tables.
• Thorough understanding of MX reporting architecture, the MX.3 data model, the Murex FIN schema, and MXRes configuration files and launcher flags as they relate to Datamart reporting execution.
• Strong experience in Market Risk and Credit Risk report development within MX.3 Datamart, including Simulation-based Reports, Risk Matrix reports, VaR attribution, sensitivities, and PFE reporting.
• Proven experience with Mreport framework and Mreport to Datamart migration projects — including gap analysis, mapping, and parallel reconciliation — is highly desirable.
• Demonstrated track record of leading a Datamart reporting workstream or team across at least two full SDLC cycles within a capital markets platform implementation or upgrade programme.
• Good understanding of capital markets products and trade lifecycle across: FX (mandatory), Money Markets, Interest Rate Derivatives, Fixed Income, Equity Derivatives, and Credit Derivatives.
• Experience in NeoXam Data Hub scripting or equivalent data integration platforms for connecting MX.3 Datamart outputs to downstream systems is advantageous.
• Proven ability to gather, document, and validate complex reporting requirements from diverse business stakeholders (traders, risk managers, finance controllers, operations).

Education;

• Bachelor's degree or higher in Finance, Computer Science, Information Technology, Financial Engineering, or a related discipline.
• Formal Murex training or certification in Datamart and Reporting modules is advantageous. Master's degree in a quantitative or technical field is a plus.

Technical Skills:

• Excellent SQL programming skills (Sybase and Oracle); proficiency in PL/SQL for stored procedures, complex joins, and performance-optimised query design across the Murex FIN schema.
• Unix / Linux experience is necessary; Shell scripting (awk, sed, Perl, Bash) is highly desirable for batch automation, data processing, and monitoring script development.
• Python scripting for data processing, reconciliation automation, and Datamart batch management; experience with Python in NeoXam Data Hub or similar environments is advantageous.
• Experience with at least one reporting / BI tool: Actuate eRD Pro (preferred), Crystal Reports, MicroStrategy, or equivalent; Excel VBA for report automation and data validation is a plus.
• Familiarity with scheduling tools: Control-M (preferred), AutoSys, or equivalent for Datamart batch job management, dependency configuration, and execution monitoring.
• Desirable: knowledge of MRA/MRE or MLC module configuration; familiarity with Murex Pricing, Trade Repository, Trade Validation, MDCS, and MxML Exchange workflows.
• Java knowledge (especially Apache Camel, Maven) for integration touchpoints between Datamart and downstream systems is an advantage.

Keyrus is an international consulting firm, specializing in the integration of data intelligence and Digital solutions. With over 4000 employees spread across 27 countries, Keyrus continues to deliver on such projects to a wide range of clients from various industries including but not limited to Banking/Finance, Healthcare/pharmaceuticals, FMCG, Oil & Gas, and more.

As part of Keyrus’ solution delivery, we are also in a position to recruit and place technical consultants to complement on existing client projects with their expertise. As such, we seek innovative and agile people to support ambitious and forthcoming technological challenges.

About the Role

We are looking for a Senior Data Engineer Consultant to support enterprise data transformation initiatives. You will be responsible for developing and optimizing data pipelines, enabling scalable data solutions, and supporting analytics and reporting needs across the organization.

Key Responsibilities

• Review and assess data engineering deliverables, including data pipelines, data models, architecture designs, and technical documentation.
• Provide independent technical validation and recommendations to ensure alignment with business and technology objectives.
• Ensure data solutions comply with governance, security, scalability, and performance standards.
• Collaborate with stakeholders and delivery partners to resolve technical issues and implementation challenges.
• Identify risks, gaps, and opportunities for improvement across data platforms and processes.
• Support project governance, acceptance reviews, and technical sign-off activities.

Requirements

• 7–10 years of experience in Strong experience in Data Engineering, Data Architecture, or Data Platform delivery.
• Hands-on knowledge of Databricks/Fabric, Azure Data Platform, Python (PySpark), and SQL.
• Experience reviewing solution designs, data models, and enterprise-scale data pipelines.
• Understanding of data governance, data quality, and cloud architecture best practices.
• Ability to engage with both technical and business stakeholders.
• Prior experience working with consulting firms, system integrators, or large transformation programmes is highly preferred.

Our Client is one of the leader in the banking industry, they are seeking for an experienced data analyst that is proficient in Python to clean, transform and analyse datasets

Contract: 6 months

Location: Central

1. Perform ad hoc analysis to generate insights and support business decision-making within business group.

2. Build, maintain, and enhance data analytics solutions, including dashboards and automated workflows.

3. Use tools such as Python and SQL for data extraction, analysis, and modeling.

4. Work with stakeholders to understand requirements and translate data into actionable insights.

5. Ensure data quality and continuously improve analytics processes and solutions.

PERSOL Singapore Pte Ltd • UEN No. 200007268E • EA License No. 01C4394 •EA Registration No. R21103542 (Ling Kai Jin)

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOL Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolsingapore.com/policies.You acknowledge that you have read, understood, and agree with the Privacy Policy.      

Job Description

About us 

Dyson is a global technology company with a simple mission: solve problems others ignore. We pioneer radically better technologies across categories—from intelligent vacuums and haircare to connected purifiers and emerging product innovations. As Dyson products become increasingly intelligent, connected and insightdriven, our digital and data capabilities enable us to deliver exceptional owner experiences, discover critical enterprise insights, and unlock new opportunities throughout the product lifecycle. 

About the role 

As a Data Product Manager in Singapore, you will play a pivotal role as part of shaping Dyson's next-generation digital initiatives that put our customers at the centre, provide functional insights to the business, and foster innovation across all touchpoints. 

Working closely with Digital Transformation Managers and App/IT delivery teams, you will: 

• Own the data and tracking requirements for Dyson’s IoT-connected products. 

• Contribute to Dyson’s digital vision and transformation roadmap.  

• Create and define Data Product requirements. Manage Data Product feasibility across product development milestones and reviews.  

• Ensure cross-team alignment on tasks across multiple backlogs (e.g. App, Cloud, Embedded Software, Enterprise IT, etc).

• Manage expectations of Data Product delivery with senior Dyson stakeholders. 

• Work to Lean and Agile practices, supporting teams as we look to improve flow. Provide concise reporting and communication of the data roadmap, planning and delivery. 

About you 

• Experience in data product management, DA/BI and software development, including working knowledge of data/analytics technologies. Natural tendency to think Data first. 

• Outstanding interpersonal communication skills and comfortable with a high change environment. Excellent personal organisation, with proven ability to take requirements, generate a plan, and execute against it. 

• Experience working in a multi-disciplinary team on challenging project outcomes.  

• Strong commercial awareness and knowledge of the objectives of different business functions - what their respective roles are, and how they typically relate. 

• Ability to influence others and communicate the impact at senior levels. Comfortable in engaging with multiple stakeholders (technical and non-technical)  

Benefits

Dyson monitors the market to ensure competitive salaries and bonuses. Beyond that, you’ll enjoy a transport allowance and comprehensive medical care and insurance. But financial benefits are just the start of a Dyson career. Professional growth, leadership development and new opportunities abound, driven by regular reviews and dynamic workshops. And with a vibrant culture, the latest devices and a relaxed dress code reflecting our engineering spirit, it’s an exciting team environment geared to fuelling and realising ambition.

Our global teams took on the challenge to make a difference in the way the global financial markets operate. Would you seek the same challenge?

At LSEG, we help our customers achieve success by providing access to an open platform that uncovers opportunity and catalyzes change.

The Pricing Reference Services Sales role at LSEG drives adoption of end of day and evaluated pricing, corporate actions and reference data solutions across all major asset classes for both buyside and sellside institutions.

The candidate will engage both middle and back office teams, custody providers and fund administrators to deliver solutions that simplify workflows, streamline regulatory reporting and support operational efficiency.

As a "hunter" in pre-sales and pursuit activities, you will join a team to act alongside Account Managers focusing on all sales (new, cross-sells, up-sells) for Data & Feeds Solutions in the given territory, to both existing and new customers.

This role is exclusively about gross sales, with future potential territory expansion depending on performance, and regular travel around the region. Extensive training and support is provided, and involves working in close partnership with account managers, solution consultants and customer success managers to proactively drive revenue growth.

LSEG is committed to encouraging a diverse, equitable, an inclusive work environment, ensuring equal opportunities for all employees, regardless of their background. We offer great employee benefits to make sure everyone performs to the best of their abilities

Role Responsibilities

• Drive sales of multi-asset pricing and reference data services to institutional clients across asset management, banking, custody and fund administration sectors

• Develop relationships within middle and back office departments, including operations, risk, compliance and data management teams.

• Articulate value for regulatory compliance and reporting needs helping clients meet global and regional obligations using LSEG's data solutions

• Address client requirements for data enrichment, instrument identification (symbology) and integration with portfolio management, risk, core banking, core banking, custody and fund administration platforms.

• Support clients in leveraging LSEG data for operational processes and workflow transformation

Key Experience & Skills

• Deep understanding of financial markets and their market data requirements

• While product knowledge is a plus, passion and proven selling skills are far more meaningful

• Strong sales closer

• Strong presentation skills (verbal & written)

• Experience driving sales strategies

• 5+ years of industry, sales or market experience

• Proven track record in a quota bearing sales environment

People are at the heart of what we do and drive the success of our business. Our colleagues thrive personally and expertly through our shared values of Integrity, Partnership, Change and Excellence, which are at the core of our culture. We embrace diversity and actively seek to attract people with unique backgrounds and perspectives. We are always looking at ways to become more agile, so we meet the needs of our teams and customers. We believe that an inclusive collaborative workplace is pivotal to our success and supports the potential and growth of all colleagues at LSEG.

Job Summary

Seeking a Junior data/analytics professional responsible for analyzing banking data using SQL and Python, supporting data architecture and reporting, and collaborating with users to gather requirements and resolve issues.

Mandatory Skill-set

• Must have strong knowledge of SQL and Python;
• Must have Proficiency in Microsoft Excel, Word, and PowerPoint;
• Good analytical and problem-solving skills;
• Ability to work independently with users for requirements gathering and issue investigation;
• Strong communication and interpersonal skills;
• Basic understanding of banking products.

Desired Skill-set

• Knowledge of data architecture concepts including data warehouse and big data technologies;
• Familiarity with Hadoop and discovery/BI tools such as Qlik Sense and Hue, plus exposure to AI tools;

Responsibilities

• Analyze and manage data using SQL and Python to support business needs;
• Work with users to gather requirements and understand data/reporting needs;
• Investigate and resolve data or system-related issues;
• Prepare reports, analysis, and presentations using Microsoft Office tools;
• Support data architecture and data warehouse environments;
• Utilize big data, BI, or AI tools to enhance data discovery and insights.

Should you be interested in this career opportunity, please send in your updated resume to apply@sciente.com at the earliest.

When you apply, you voluntarily consent to the disclosure, collection and use of your personal data for employment/recruitment and related purposes in accordance with the SCIENTE Group Privacy Policy, a copy of which is published at SCIENTE’s website (https://www.sciente.com/privacy-policy).

Confidentiality is assured, and only shortlisted candidates will be notified for interviews.

EA Licence No. 07C5639

【Job Responsibilities】

• Solution Design & Strategy: Lead the end-to-end design and planning of comprehensive data center solutions. Analyze client requirements to develop technically sound and commercially viable proposals, with a specialized focus on Critical Power (e.g., UPS, Lithium Battery Backup) and Cooling Systems.
• Product & Solution Competitiveness: Collaborate with product development teams to provide field-driven insights. Champion the development and verification of scenario-specific solutions based on typical customer requirements to enhance the overall market competitiveness of our portfolio.
• Strategic Business Development: Identify and capitalize on key opportunities to break into new markets, valued industries, and strategic accounts. Develop standardized, replicable solution packages and enable field teams to improve operational efficiency and win rates.
• Stakeholder Management & Project Leadership: Serve as the primary technical point of contact for clients, consultants, and internal teams. Manage the solutioning process from initial engagement through to project execution, providing technical oversight and troubleshooting expertise.
• Technical Evangelism & Client Engagement: Develop and deliver compelling technical presentations and proposals. Build and maintain trusted advisor relationships with client executives, effectively articulating the value proposition of our solutions.
• To collaborate and communicate directly with Singapore-based regulatory bodies and local stakeholders, as well as to support collaboration with Chinese-speaking global decision-makers, domestic manufacturing partners, and regional headquarters counterparts based in China.

【Requirements】

• A Bachelor's degree in Engineering, preferably in Electrical Engineering.
• A minimum of 5 years of professional experience in the data center industry, with a proven track record in data center consulting, planning, and solution design.
• Deep technical expertise in Data Center Critical Power and Cooling systems (including UPS and Lithium Battery technologies). Hands-on experience with system deployment is highly advantageous.
• Demonstrable experience in developing and winning overseas projects. Exceptional communication and interpersonal skills, with the ability to collaborate effectively across functions, cultures, and international organizations.
• Strong analytical, problem-solving, and collaboration skills to navigate and resolve complex technical and commercial challenges.
• Excellent presentation and solution-development skills. A self-motivated professional who can work both independently and as part of a collaborative team, with a results-driven commitment to task completion.
• Familiarity with key industry standards and specifications, such as Uptime Institute Tiers, TIA-942, and relevant IEC standards.
• This role requires proficiency in both English and Mandarin (written and spoken) to communicate effectively with Singapore-based regulatory bodies and local stakeholders, as well as to support collaboration with Chinese-speaking global decision-makers, domestic manufacturing partners, and regional headquarters counterparts based in China.

Interested candidate please click "APPLY" to begin your job search journey.

We regret to inform that only shortlisted candidates will be notified.

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOL Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolsingapore.com/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy. 

PERSOL Singapore Pte Ltd

•RCB No. 200007268E • EA License No. 01C4394

•Registration ID: Heah Sian Wei R23117518

Job Purpose

The primary purpose of this position is to research, analyze, interpret, transform and present reference data for fixed income securities as well as reference data pertaining to those issuers themselves that bring fixed income debt to market. 

Proficiency in English and Korean language is essential to communicate with Korean stakeholders

The incumbent must successfully complete a three-month training program that centers on building enough subject matter expertise and the utilization of the database(s) of record such that the incumbent can independently analyze legal and financial documents associated with securities containing less complex fixed income structures. During training, the incumbent must master all of the subject matter and will be required to pass a series of quizzes and tests as well achieve the accuracy and timeliness metrics that were established for trainees.

The training curriculum for the associate contains high level overviews of the complex structures worked on by more senior personnel as well as reference data client use cases so that the incumbent can differentiate between legal and financial language that is relevant to and required by our client base versus jargon describing information that is not required and, so that the incumbent can identify new financing techniques that come to market. The incumbent must then apply this foundation of knowledge via a logical sequence of decision-making events to determine relevancy of said information to our clients for any of their use cases and if deemed relevant, determine the next appropriate steps to ensure high client satisfaction levels. 

The fixed income market consists of over two million active securities and the reference data provided by ICE Data Services for said securities is used by our clients to make trading decisions, settle trades, make investment decisions, manage portfolios, analyze risk, create security master files, create client statements and conduct other back office functions. Our reference data is also used by internal stakeholders such as the Evaluated Pricing, Index and Analytics groups said reference data plays an integral role in determining evaluated prices, determining whether or not a security should be added to or deleted from an index or indices, the weighted average of a security within an index and, performing a series of analytical calculations that are used both internally within ICE and externally by these stakeholder’s clientele.

Responsibilities

• Analyze, interpret, collate and transform reference data provided in a variety legal and financial document, third party reports and vendor information while ensuring that the reference data provided in ICE’s products and services accurate, comprehensive and in a timely manner, namely best in class
• Make sound, subjective decisions when interpreting legal and financial information by utilizing subject matter expertise to infer, deduce and ultimately draw the right conclusions
• Provide customer support for users of ICE products by resolving inquiries in a timely manner
• Craft external facing responses for those clients that submitted customer inquiries containing a meaningful, well-thought out, well-constructed answer that includes a restatement of the challenge or question, the analysis completed to satisfy the request and where appropriate, the methodology used to determine the solution
• Procure required documents and/or trusted content utilizing creative internet searches and by conducting direct outreach to issuers, underwriters, fiduciary agents and bond counsel
• Apply problem-solving skills to identify innovative work-flow efficiencies and process improvements resulting in increased accuracy levels, time to market and productivity
• Help identify trends and causation of inaccurate and/or incomplete data
• Participate in ad hoc projects to optimize processes and/or improve the quality of the data set
• Create charts, graphs and presentations for leadership teams
• Use Excel functions to organize, analyze and create reference data

Knowledge and Experience

• Proficiency in English and Korean language is essential to communicate with Korean stakeholders
• BA/BS in Finance, Economics or equivalent practical experience
• Demonstrated, relevant work experience directly working in fixed income reference data operations or customer service
• Ability to work in a fast paced, high pressured, fluid environment
• Ability to distill large amounts of information into specific takeaways
• Excellent attention to detail and high degree of demonstrated decision-making and problem solving skills
• Excellent written and oral communication skills with proven ability to craft client-ready correspondences
• Eagerness to learn and collaborate with others
• Strong Excel skills required