Total 321 Senior Executive analyst job vacancies

Company: Gridlines

Gridlines is a rapidly growing financial modelling consultancy practice. We transforming the world of financial modelling, helping our clients to make complex financial decisions quickly and with confidence.

We love to work with exciting clients that are making a big impact on the world around us, helping to tackle some of the world's greatest challenges.

We plan to continue our rapid expansion and are looking for the brightest and best talent to join us on this journey.

Role:

• We are seeking an experienced model audit professional that is passionate about financial modelling and driven by growth.
• You will work with a team of modelling professionals to analyse and review complex financial models, ensuring they are robust and reliable.

Operations:

• Support financial model audit assignments, ensuring accuracy and compliance with both client expectations and industry standards.
• Use a combination of software checks and parallel model development to identify modelling errors.
• Take ownership of specific assignments and projects, demonstrating initiative and dedication to achieving high-quality outcomes.
• Contribute to the development and enhancement of our financial modeling methodologies and tools, driving continuous improvement and innovation.
• Prepare comprehensive model documentation detailing assumptions, methodologies, and results.
• Maintain meticulous records of modeling processes and methodologies to uphold our high standards and ensure consistency.
• Assist in developing project plans, timelines, and resource allocation to ensure efficient and effective project delivery.
  

People:

• Collaborate closely with team members, learning and contributing to assignments.
• Communicate model findings and insights effectively to clients and internal teams.
• Simplify complex financial model issues to make them understandable for non-technical stakeholders.

Key Skills and Qualifications:

• We hire exceptional individuals on a contractual basis of 6 months who can demonstrate our core values of Drive, Innovation, Collaboration and Excellence.
• 1-2 years of relevant experience in a financial analysis role within a recognised advisory practice or large corporate setting.
• A good appreciation of accounting concepts
• An understanding of Project Finance concepts.
• Strong analytical skills with a foundation in building and operating financial models using Excel.
• Degree qualified in a numerate discipline, with a postgraduate qualification in accounting or finance beneficial.
• Experience with the FAST financial modeling standard is desirable.

• A competitive base salary with flexible working arrangements, including a mixture of office-based, working from home, and working on client sites.
• Significant opportunities for professional growth and development as we expand.
• Access to cutting-edge financial modelling tools and resources.
• Collaborative and supportive team culture.

Your new company

This is a leading insurance and reinsurance service provider.

Your new role

• Underwriting & Policy Lifecycle Expertise
• Claims & Operational Modernisation
• Technology Transformation
• Exposure & Portfolio Analytics

What you'll need to succeed

• 7+ years in Large Commercial insurance.
• Strong large Commercial P&C Insurance expertise to support enterprise-wide technology modernisation initiatives
• Knowledge of Liability/ WICA/ Marine Hull/ Energy operational flows.
• Experience in Insurance Core system implementation or modernisation.
• Strong stakeholder management with Underwriting & Claims.

What you'll get in return

• Challenging yet fulfilling career with an equal opportunity employer.
• Various opportunities to learn and upgrade your skill sets
• Competitive remuneration package and benefits

What you need to do now

If you’re interested in this role, click ‘apply now’ to forward an up-to-date copy of your CV, or call Shabnam at Hays on +65 60271964 or email Shabnam.Bahar@hays.com.sg for a confidential discussion. Referrals are welcome.

Registration ID No. R1873584 | EA License number: 07C3924 | Company Registration No. 200609504D

Job Description:

Key Responsibilities:

• Collaborate with business stakeholders to gather analyze and document ESG related requirements.
• Translate business needs into functional and technical specifications for data and analytics solutions.
• Work closely with data engineering and data science teams to design and implement ESG reporting and analytics solutions.
• Analyze ESG datasets e.g. carbon emissions sustainability metrics compliance data to identify trends and insights.
• Support the development of ESG dashboards KPIs and performance tracking frameworks.
• Ensure alignment with global ESG standards and frameworks e.g. GRI SASB TCFD ISSB.
• Assist in defining data models data governance and data quality standards for ESG reporting.
• Participate in UAT User Acceptance Testing and validate system outputs against requirements.
• Provide domain expertise on ESG products services and regulatory expectations.
• Create comprehensive documentation including BRDs FRDs use cases and process maps.
• Facilitate communication between business product and technical teams.

Required Skills Qualifications:

• Bachelors or Masters degree in Business Finance Data Science Sustainability or related field.
• 5 years of experience as a Business Analyst preferably in ESG sustainability or financial services domains.
• Strong understanding of ESG concepts reporting frameworks and sustainability metrics.
• Proven experience working with data analytics data modeling and data visualization tools e.g. Power BI Tableau.
• Familiarity with data science concepts statistical analysis and predictive modeling.
• Minimal Handson experience with SQL and or Python, R for data analysis will be good to have.
• Experience working in Agile environments and handling cross-functional teams.
• Strong analytical thinking and problem solving skills.
• Excellent stakeholder management and communication skills.

Responsible for B2B integration system and implementing EDI onboard (Electronic Data Interchange). Ensuring smooth and success onboard adoption and continuous engagement with trading partners. This role works closely with internal and external stakeholders to coordinate onboarding activities. Understanding of EDI concept and working knowledge with RossetaNet and other exchange method standards to enable seamless data exchange between the organization and trading partners.

Key Responsibilities:

• Support and communicate with IT, Business and External Partners.
• Coordinate end-to-end onboarding process for new B2B trading partners.
• Prepare and validate onboarding documentation and required system setup.
• Work together with business to conduct onboarding sessions, communication for technical and business B2B specification. Including partner testing.
• Strong problem-solving and decision-making skills to interpret and or analyse especially during interface testing.
• Robust analytical skills to review and interpret business documents (FDS and FUT).
• Handle SAP IDOC mapping, Partner profile and output condition conversion configuration and interfaces testing.

Gridlines is a rapidly growing financial modelling consultancy practice. We transforming the world of financial modelling, helping our clients to make complex financial decisions quickly and with confidence. We love to work with exciting clients that are making a big impact on the world around us, helping to tackle some of the world's greatest challenges. We plan to continue our rapid expansion and are looking for the brightest and best talent to join us on this journey.

Role: We are seekling an experienced analyst that is passionate about financial modelling and driven by growth. You will work with a team of modelling professionals to create, analyse and optimise complex financial models, ensuring they are robust and reliable.

Operations:

• Support financial model audit assignments, ensuring accuracy and compliance with both client expectations and industry standards.

• Use a combination of software checks and parallel model development to identify modelling errors.
• Take ownership of specific assignments and projects, demonstrating initiative and dedication to achieving high-quality outcomes.
• Contribute to the development and enhancement of our financial modeling methodologies and tools, driving continuous improvement and innovation.
• Prepare comprehensive model documentation detailing assumptions, methodologies, and results.
• Maintain meticulous records of modeling processes and methodologies to uphold our high standards and ensure consistency.
• Assist in developing project plans, timelines, and resource allocation to ensure efficient and effective project delivery.

People:

• Collaborate closely with team members, learning and contributing to assignments.

• Communicate model findings and insights effectively to clients and internal teams.
• Simplify complex financial model issues to make them understandable for non-technical stakeholders.

Key Skills and Qualifications:

• We hire exceptional individuals who can demonstrate our core values of Drive, Innovation, Collaboration and Excellence.
• 1-2 years of relevant experience in a financial analysis role within a recognized advisory practice or large corporate setting.
• A good appreciation of accounting concepts.
• An understanding of Project Finance concepts.
• Strong analytical skills with a foundation in building and operating financial models using Excel.
• Degree qualified in a numerate discipline, with a postgraduate qualification in accounting or finance beneficial.
• Experience with the FAST financial modeling standard is desirable.
  

• A competitive base salary with flexible working arrangements, including a mixture of office-based, working from home, and working on client sites.
• Significant opportunities for professional growth and development as we expand.
• Access to cutting-edge financial modelling tools and resources.
• Collaborative and supportive team culture.

As a Senior Marketing Data Analyst, you will leverage your expertise to directly impact the marketing strategy and growth of our 16 markets by delivering actionable insights and advanced analytics solutions. In this role, you’ll work as an embedded thought partner with senior marketing stakeholders to influence strategy and marketing tactics, mentor junior analysts, and leverage AI to build the future of marketing analytics. This is a high-visibility position that plays a pivotal role in data-driven decision-making.

• Strategic Marketing Analysis: Design and execute robust analytical methodologies ranging from A/B tests/geo testing/holdouts to MMM modeling in order to measure incremental ROI and make actionable recommendations regarding marketing spend optimization and tactical execution of marketing initiatives
• Stakeholder Engagement & Influence: Collaborate closely with senior marketing partners to understand strategic objectives, recommend analytics solutions, negotiate priorities, and present insights effectively.
• Advanced Data Modeling & Measurement: Define measurement frameworks and metric definitions for key marketing initiatives; Lead the development of complex SQL models to implement as well as transform massive datasets into actionable insights using tools like BigQuery and dbt.
• Strategic Reporting & Visualization: Design and build compelling, user-friendly data assets including both traditional dashboards (e.g. Looker, Tableau) and agentic solutions (e.g. root-cause analysis agents) that facilitate decision-making for business leaders. 
• Mentorship & Development: Provide guidance and mentorship to junior analysts, enhancing their technical skills and fostering a collaborative team environment.
• AI-Driven Analytics & Automation: Identify, design, and implement AI-powered solutions that transform how marketing analytics operates — including agentic workflows (e.g. root-cause analysis agents, automated anomaly detection), LLM-assisted insight generation, and prompt-engineered pipelines. Translate repeatable analyst workflows into scalable AI tools. Act as a driver of AI adoption within the team, setting standards and upskilling junior analysts.

Find out more about our Data Analytics folks here: 

• Turn insights into impact!
• Looking for a career in data analytics? This could be the opportunity for you!

Role Summary 

The R2R Senior Analyst – Lease is accountable for technical judgement and policy guidance across lease accounting under IFRS 16 / ASC 842, acting as a quality checkpoint between lease preparation and tower-level close governance. 

This role ensures that: 

• Lease master data, ROU asset & lease liability accounting, remeasurements/modifications, and tool-to-GL reconciliations are  

• Complete  

• Accurate  

• Independently supported  

• SOX / IPE compliant  

The role owns resolution of non-standard and complex lease cases, ensures consistent interpretation of SOP 10.3.x, and drives disciplined ageing closure, evidence sufficiency, and exception resolution. 

Role Purpose 

To ensure accurate, compliant, and defensible lease accounting outcomes by: 

• Acting as the technical SME for lease accounting and policy interpretation  

• Resolving complex lease scenarios and judgement-heavy cases  

• Driving cross-tower alignment and audit readiness  

• Strengthening controls, governance, and consistency across entities  

Key Responsibilities 

1. Technical Accounting & Policy Interpretation 

• Own interpretation and application of IFRS 16 / ASC 842 standards  

• Provide guidance on:  

• Lease classification and recognition  

• ROU asset and lease liability accounting  

• Discount rates and assumptions  

• Ensure consistent application of lease accounting policies across entities  

2. Complex Case Resolution & Judgement 

• Resolve non-standard and complex lease accounting scenarios, including:  

• Lease modifications and remeasurements  

• Contract interpretation issues  

• System or accounting discrepancies  

• Provide defensible accounting conclusions with documented rationale and evidence  

3. Certification & Control Gatekeeping 

• Certify lease accounting outputs, including:  

• ROU asset and liability balances  

• Amortization and interest postings  

• Lease tool-to-GL reconciliations  

• Ensure:  

• Compliance with SOX / IPE standards  

• Adherence to maker-checker discipline  

• Audit-ready documentation prior to close  

4. Exception Handling & Close Governance 

• Drive exception resolution and break management  

• Perform and enforce:  

• Root Cause Analysis (RCA)  

• Ageing closure discipline  

• Ensure timely escalation of:  

• High-risk items  

• Systemic issues  

• Support close governance and risk management  

5. Cross-Tower Alignment & Integration 

• Collaborate with:  

• Fixed Assets (FA)  

• IDSW  

• Intercompany (IC)  

• Ensure consistency in:  

• Accounting treatment  

• Data flows and integration  

• Resolve cross-functional dependencies impacting lease accounting  

6. Controls, Compliance & Audit Readiness 

• Ensure compliance with:  

• SOX / ICFR controls  

• IPE evidence standards  

• Maintain audit-ready documentation, approvals, and evidence trails  

• Support internal and external audits, including:  

• Lease accounting validation  

• Policy interpretation discussions  

7. Documentation & Technical Positioning 

• Prepare technical accounting memos and judgement documentation  

• Ensure traceability of:  

• Accounting decisions  

• Approvals  

• Supporting evidence  

• Maintain consistency across:  

• Regions  

• Entities  

• Reporting outputs  

8. Continuous Improvement & Standardization 

• Reduce repeat issues through:  

• Standardized policy interpretations  

• Preventive guidance  

• Clear escalation frameworks  

• Improve:  

• Documentation quality  

• Process consistency  

• Control effectiveness  

9. Stakeholder Collaboration 

• Work with:  

• Lease Tower Lead / Reviewer  

• Controllers / Regional Finance teams  

• Real Estate / Contract owners  

• Compliance & Controls teams  

• Fin-Tech / Systems teams  

• Cross-tower SMEs (FA, IDSW, IC)  

• Provide technical guidance and resolution support  

Top Skills for Success 

• Lease accounting expertise (IFRS 16 / ASC 842)  

• Technical accounting judgement and policy interpretation  

• Remeasurements and modification accounting  

• Controls, Compliance & Audit (SOX / ICFR / IPE)  

• Problem solving (RCA / CAPA)  

• Reconciliation quality and exception handling  

• ERP and lease systems (SAP, lease tools, OneStream)  

• Cross-functional collaboration 

Key Outcomes / Success Measures 

• Audit-ready lease controls with certified reconciliations and traceable evidence  

• Predictable lease close with:  

• Disciplined ageing  

• Clear resolution tracking  

• Reduced repeat exceptions  

• Consistent technical judgement aligned to IFRS 16 / ASC 842 standards  

• Faster resolution of complex cases with:  

• Documented rationale  

• Cross-tower alignment  

Tools & Systems 

• Lease Accounting Tool (ROU / liability calculations, remeasurements) — High  

• SAP GL (postings, extracts, reporting) — High  

• OneStream (reconciliation submission / certification, if applicable) — Medium–High  

• Microsoft Excel (amortization schedules, remeasurement models, tie-outs) — High  

• Contract repositories / master data systems — Medium–High  

As a Senior Data Analyst, you will leverage your expertise to directly impact the growth of our 16 markets by delivering actionable insights and advanced analytics solutions. In this role, you’ll work closely with senior stakeholders, mentor junior analysts, and shape the analytics function within one of our functional analytics teams. This is a high-visibility position that plays a pivotal role in data-driven decision-making.

• Own a risk & fraud problem domain end-to-end, framing ambiguous problems and delivering analytical solutions that drive measurable improvements in cost, efficiency, service performance and customer experience.
• Act as a thought partner to business and domain leads, shaping problem statements, challenging assumptions, and co-developing data-driven solutions to high-impact risk and fraud challenges.
• Apply advanced analytical methods, including simulation, optimisation, and statistical modelling, to detect and solve complex problems such as incentive abuse, refund claim abuse and.
• Determine causal impact in operational environments, designing and analyzing experiments (e.g., cluster, switchback) and applying causal inference methods (e.g., DiD, synthetic controls) to inform business decisions.
• Build and scale data products and analytical tools, leveraging modern data stacks and agentic AI workflows to enable deep dives, self-serve analytics, and faster decision-making.
• Drive exploratory and root cause analyses, identifying performance drivers and uncovering opportunities for optimization across the risk and fraud infrastructure.
• Collaborate cross-functionally with data and engineering teams, contributing to data modeling, metric definitions, and scalable solutions that accelerate time-to-insight.
• Communicate with clarity and influence, translating complex analyses into actionable recommendations and driving alignment across technical and business stakeholders.

Find out more about our Data Analytics folks here: 

• Turn insights into impact!
• Looking for a career in data analytics? This could be the opportunity for you!

• Identification and delivery of relevant GFS R2R related tasks and provide progress updates, risks / mitigants to the Finance GFS delivery lead, R2R Leads, and other stakeholders
• Work with GPOs to set up and transfer to Experian systems and processes and close down legacy system / processes - for the following:-
  • General Ledger, Cash Management, Fixed assets & Leases, Intercompany rules
  • Provide access and training to Acquired Entities’ Finance Team, for Experian Accounting Systems
  • Create and agree Post integration plan, collaborating across the different functions, update stakeholders with progress, issues and decisions
  • Assist & improving team operating rhythm through Empower+ operation maturity framework

The Role

As a Senior Business Analyst, you will take the lead in conducting complex business analysis and iteration management to ensure successful initiative outcomes. Your responsibilities include crafting detailed documentation of intricate requirements, facilitating high-level communication with stakeholders, and identifying key opportunities for process optimization that align with broader business objectives.

Collaborating closely with cross-functional teams, such as engineers and product owners, you will lead iterative development and refinement processes, enhancing overall project delivery. You will manage risk, support the seamless implementation of solutions, and drive continuous improvement initiatives, ultimately delivering significant business value and contributing to strategic business success.

The Team 

Join the Marketplace Services (MPS) team as we continue our evolution from a service provider into a strategic platform enabler. Our purpose is to provide trustworthy data and shared services across APAC Candidate, Hirer and AI teams so we can deliver long-term customer value. 

Within MPS, the Profile, Apply and Jobs Services (PAJS) team provide shared capabilities that underpin many of SEEK’s core marketplace experiences: how candidates discover roles, create and manage profiles, and apply for jobs, and how hirers create, manage and optimise job ads. These services sit at the heart of SEEK’s Employment Marketplace and are consumed at scale across the group. 

Key responsibilities

• Define scope, objectives, deliverables; validate requirements and capture feedback.
• Lead discovery and documentation: user stories, use cases, process maps (as-is/to-be), acceptance criteria.
• Prioritise and trace requirements to business value; support solution design and validation.
• Plan and run iteration ceremonies: planning, backlog refinement, reviews, retrospectives.
• Manage risks and change; coordinate testing, develop test cases, verify quality.
• Facilitate workshops, align stakeholders, and maintain clear communication.
• Drive continuous improvement; share best practices; mentor juniors.
• Engage vendors as needed; support SLA compliance and onboarding.

*Only Singaporeans will be considered*

Key Responsibilities:

Requirements Gathering and Analysis:

• Conduct stakeholder interviews and workshops to gather business requirements.
• Analyze and document current business processes and workflows.
• Identify opportunities for process improvement and automation using ServiceNow.

Solution Design:

• Translate business requirements into functional specifications for ServiceNow implementation.
• Design and document proposed ServiceNow solutions, including process flows, data models, and integrations.
• Collaborate with technical teams to ensure feasibility of proposed solutions.

Implementation Support:

• Assist in configuring and customizing ServiceNow modules to meet business needs.
• Develop and maintain ServiceNow reports, dashboards, and KPIs.
• Participate in testing activities, including user acceptance testing (UAT).

Continuous Improvement:

• Monitor ServiceNow usage and performance metrics.
• Identify and recommend opportunities for ongoing platform optimization.
• Stay updated on ServiceNow releases and new features, assessing their potential value to the organization.

Qualifications:

• Bachelor's degree in Information Technology, Computer Science, or a related field.
• 2+ years of experience as a Business Analyst, preferably in IT Service Management.
• Proven experience with ServiceNow platform, including at least one full implementation cycle.
• Excellent analytical and problem-solving skill.
• Strong communication and stakeholder management abilities.
• Proficiency in creating process flows, use cases, and other business analysis artifacts.

Preferred:

• ServiceNow certifications (e.g., Certified System Administrator, Certified Implementation Specialist).
• Experience with multiple ServiceNow modules (ITSM, ITOM, ITBM, etc.).
• Strong understanding of ITIL framework and best practices.
• Knowledge of scripting languages (e.g., JavaScript) and database concepts.
• Agile/Scrum methodology experience.
• Project management skills.

Working Arrangement: Hybrid, Full Time

Are you a Senior Data Analyst with a proven track record of delivering clear business impact through data? We’ve been looking for you!

The data team at Kape is building a world-class, data-driven culture to empower our employees with timely, accurate information to drive their decision making.  

In this role you will make a huge impact, influencing business decisions relating to millions of customers every day. You’ll work with great people on projects across the company, and play a pivotal role in supporting strategic business initiatives through data analysis, experimentation and development of metrics and dashboards.

What you’ll be doing

As a Senior Data Analyst, you will:

• Act as a strategic partner working in cross functional teams to grow the extent of data-driven planning and decision making in specific areas, specialising in Conversion Rate Optimization analytics.
• Turn data into insights, predictions, and actionable recommendations, delivering clear business value to your cross functional teams in their business challenges. 
• Deliver impactful insights and recommendations using compelling visualizations in user-friendly dashboard designs. 
• Help to design and analyze A/B experiments to improve conversion rate outcomes.
• Work in partnership with Data Engineers and Analytics Engineers to define data requirements, foundational datasets and ensure high-fidelity tracking.
• Contribute to the planning & execution of the Growth team within the organisation - as a group of people, as a partner within cross functional teams and as an enabler to support others to self-serve their data and insight needs.  

Who we’re looking for

If this sounds like you, please get in touch! 

Experience & expertise

• 5+ years in a web analytics, product analytics, or business intelligence role
• Proven track record of designing, executing and evaluating A/B experiments, with the ability to recommend next steps through iterative testing
• Outstanding analytical skills — from querying data to unearth insights, to creating compelling visualisations for ease of understanding
• Strong problem-solving skills with the ability to think beyond the obvious

Data mindset & ownership

• Passionate about data and using it to influence business decisions
• Detail-oriented in ensuring data quality and integrity across everything you present
• Self-starter with a strong sense of ownership — you bring insights to life, not just report them
• Comfortable navigating ambiguity and able to lead complex, loosely-defined projects from first principles through to a clear outcome

Business partnership

• Adept at integrating with business teams to truly understand their challenges and define how data can help — as early as possible
• Strong business acumen with a business-first approach to problem framing
• Track record of delivering clear, actionable business value from data — fit for purpose, not just technically impressive

Communication & storytelling

• Excellent communicator who uses storytelling to make insights land at the business level
• Able to connect data narratives to commercial outcomes in a way that resonates across teams
• Fluent in English
• Thrives working alongside intelligent, passionate people

Technical skills

• High proficiency in SQL and/or other querying languages
• Hands-on experience in Tableau or equivalent data visualisation tools
• Comfortable working with AI tools and incorporating them into your workflow to move faster and think sharper

Nice to have, but not required 

• You are comfortable talking about technology and communicating with developers on technical topics.
• A desire to elevate the team by mentoring junior analysts and fostering a culture of peer review and best practices.

What we can offer you

• Challenging work in a fun and collaborative environment
• Smart, passionate, and intelligent colleagues
• Attractive compensation and time-off benefits
• Spacious open-concept and centrally located offices
• Financially successful and profitable company
• Full-time employment with flexible working hours
• Fully stocked pantry with healthy foods and fresh fruit
• Team lunches and company events every quarter
• Multicultural teams represented by 30+ nationalities

The resource is required to support both manual and automated testing.

Domain

· QA analyst with minimum of 3-4 years’ experience in test automation preferable in financial services domain

· Good to have knowledge and experience in Equities or Derivatives trading

· Testing experience with Industry standard APIs used in Financial Services domain (e.g. Financial Information eXchange (FIX), FIXML, REST)

Process (Automation and Manual Test)

· Develop and maintain automated test framework

· Expertise in Test lifecycle including Requirement Analysis, Identifying Test Scope, Designing Test cases, Executing Test cases, and tracking defects till closure

· Have worked in Agile project models

· Familiar and equipped with agile testing experience in scrum-based/Kanban based projects.

· Experience in scrum ceremonies like backlog grooming and refinement, sprint planning, daily scrum, sprint review, sprint retrospective etc

Tools and Test Automation

· Experience in test automation framework using BDD framework with Cucumber & TestNG

· Experience on Selenium Web Driver, Postman(API Testing)

· Experience on Build and Configuration Tools like MAVEN

· Experience on CI/CD Tools like Jenkins and version control via BitBucket or GitHub

· Good understanding of Java Libraries – REST Assured

· Have used IDEs like IntelliJ and Eclipse

· Programming Languages – Core Java

· Working knowledge of proprietary or industry standard tools such as Tricentis Tosca, VeriFIX, is a plus.

Soft Skills

· Able to guide and mentor junior test resources

· Ability to communicate clearly both in writing and verbally

· Excellent stakeholder management skills to engage across various departments such as Technology, Operations and Business

· Team player with a collaborative mind-set

Skills and Competencies

• 8+ years of experience in an analytical, research, or risk management role; financial markets experience preferred, though strong analytical backgrounds from other industries considered
• Strong understanding of the Indian and ASEAN banking sectors, including regulatory environments, ESG considerations and emerging credit topics such as digital finance and private credit
• Demonstrates strong analytical, problem-solving, and presentation skills
• Excellent written and verbal communication skills, with the ability to clearly articulate complex analytical and strategic issues to diverse audiences
• Proficiency in English required
• Strong organizational and project management skills, with the ability to multitask and meet tight deadlines
• Ability to work collaboratively with global analyst teams and support the training and development of junior colleagues
• Basic understanding of artificial intelligence concepts, with curiosity and enthusiasm for applying AI tools to improve processes and drive efficiency

Education

• Graduate / second-level degree (e.g. MBA, Master's) required or equivalent strong academic background

Responsibilities

• Report to the Associate Managing Director for Moody’s Financial Institutions Ratings, based in Singapore
• Manage a portfolio of high-profile Indian and ASEAN financial institutions, including banks, securities firms, and finance companies
• Oversee all aspects of the ratings process, including monitoring company, industry, and regulatory developments; executing timely ratings actions; and producing high-quality, impactful research
• Communicate credit views clearly and effectively to internal and external stakeholders
• Engage with rated issuers, intermediaries, and investors; represent Moody’s at internal and external conferences; interact with investors and media, including broadcast interviews, to enhance Moody’s market relevance
• Collaborate with Moody’s Global Financial Institutions teams to uphold ratings quality, foster critical thinking and healthy skepticism, and proactively manage the credit portfolio
• Contribute to the continuous enhancement of processes that strengthen Moody’s ratings franchise and relevance
• Deliver timely, insightful, and relevant credit commentary with strong written and verbal presentation skills

About the Team

The Financial Institutions Group is responsible for delivering high‑quality credit ratings and research across the financial sector, including banks, non‑bank financial institutions, insurers, securities firms, funds, and asset managers. The team is focused on enhancing market transparency, supporting informed investor decision‑making, and strengthening our position as a trusted source of credit insight.

By joining the team, you will work on high‑impact areas such as fund finance and asset management, while contributing to the adoption of AI‑enabled tools that enhance analytical rigor and drive efficiency across our ratings operations.

Job Summary

We seek a Senior Business Analyst (Techno-Functional) to bridge business needs with technology solutions, driving stakeholder engagement and translating requirements into actionable technical deliverables.

Responsibilities

• Gather, analyze, and document business requirements by engaging with stakeholders to ensure clarity and completeness
• Translate business needs into detailed functional and technical specifications for technology teams
• Collaborate with technology teams, data engineers, and developers to align solutions with business objectives
• Facilitate workshops, stakeholder discussions, and requirement walkthroughs to validate and refine requirements
• Support data-driven initiatives by working with data pipelines, reporting needs, and analytics teams to enable informed decision-making
• Ensure alignment between business expectations and technical delivery throughout project lifecycles
• Participate in User Acceptance Testing (UAT) to validate solution functionality and support successful implementation
• Identify process improvement opportunities and recommend actionable solutions to enhance business operations

Preferred competencies and qualifications

• Prior experience in the Insurance industry is nice to have but not a must have.
• Exposure to Data Engineering environments or projects
• Experience using tools such as SQL, Jira, Confluence, or similar platforms

Other Information

• Opportunity to work on enterprise-scale projects
• Exposure to data and digital transformation initiatives
• Collaborative and growth-oriented work environment