Total 8 Junior Executive technology development job vacancies in Information Technology category

Job Description

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day.

Being a Great Place to Work and providing a culture of caring is core to how we drive Responsible Growth. We are intentional about fostering an inclusive workplace where every teammate has the opportunity to succeed, build a career and contribute to our shared success. This includes attracting and developing exceptional talent, recognizing and rewarding performance, and supporting our teammates’ physical, emotional, and financial wellness through affordable, competitive and flexible benefits.

We value the unique perspectives individuals bring from all backgrounds and career paths - whether shaped by military service, community college education, or a wide range of work and life experiences. These journeys foster resilience, leadership and innovation, strengthening our workforce and positively impact the communities we serve.

Bank of America is committed to an in-office culture that supports collaboration, engagement, and career development. Our approach includes clear in-office expectations, while providing an appropriate level of flexibility based on role-specific responsibilities and business needs.

At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!

Job Description:

APAC Network Services Internal Networks team is responsible for end-to-end engineering and deployment of network infrastructure services within Bank of America. In this role, you will design, implement, and support enterprise grade network infrastructure across routing, switching, wireless, and remote access technologies. You will play a key part in ensuring secure, scalable, and high-performance connectivity across our global environment.

Responsibilities:

• Responsible for hands-on implementation, engineering, and deployment of new services into production.

• Work with support teams, lines of business and 3rd parties that BofA connect to build end-to-end solutions that balance business, security, availability, and resiliency requirements.

• Eliciting, analyzing, and documenting technical application and service requirements.

• Maintain designs patterns and provide feedback into architectural standards.

• Active participation in the change management process.

• Manage stakeholder requirements across projects and ad-hoc consulting.

• 3rd level escalation for troubleshooting issues on the production network.

• Identifying and managing the mitigation of risks within the environment.

• Ensuring documentation is updated to reflect new additions to or modifications in the environment and handed into Operations successfully.

• Collaborate with global engineering domain leads and operations teams from service design through operations transition process for new services.

Skills:

• 10 years with hands-on experience in Network Engineering & Deployment team preferably in the banking and finance industry.

• Strong knowledge of networking communication principles, network standards, and network security practices.

• Strong understanding of DMZ architecture principles, segmentation, and security zoning (Internal, External, Enclave etc)

• Strong knowledge of routing protocols (BGP, OSPF, EIGRP, ISIS) and WAN technologies (MPLS/VPLS)

• Experience in engineering and deployment of network solutions including Routing and Switching (Cisco/Arista) and secure connectivity: VPNs, tunneling (IPSec, SSL/TLS, GRE, MACsec)

• Ability to design and validate secure network flows across DMZ zones, NAT, and DMZ ingress/egress patterns

• Experience in vulnerability remediation and risk mitigation in DMZ environments

• Experience in network analytics through packet capture (Sniffer) analysis and end system diagnostics (Netscout).

• Expertise in creating Application and network diagrams including all pertinent flows and decisions.

• Capability to summarize complex issues into executive summaries.

• Ability to motivate and drive execution, with performance driven with the necessary intensity and optimism to succeed and deliver.

• Possesses strong analytical skills and root cause investigation techniques with a desire to expand horizon to next-gen products, applications, and technology.

• Familiar with product deployments within a global banking environment.

• Willing to work some irregular hours based on the needs of global operating model and the location of clients.

• Communicate with business partners at an enterprise level, interfacing with internal business representatives and information security partners.

• Strong analytical skills with ability to identify gaps, challenge others with positive intent, and drive debate towards identification and remediation of underlying risks.

• Knowledge of regulatory risk management in Technology and Information Security domains preferred.

• ITIL processes knowledge: Change Management, Incident Management, Request Management, and Problem Management

• Maintain designs patterns and provide feedback into architectural standards.

• Active participation in the change management process

Desired Skills:

• Subject matter experts in Network Services technologies and provide leadership and strategic/tactical direction related to the successful deployment network projects.

• Eliciting, analyzing and documenting technical application and service requirements.

• Understanding in Automation (Python, Ansible, YAML, REST API, XML and JSON).

• Manage stakeholder requirements across projects and ad-hoc consulting.

• Working experience of Agile techniques and use of Jira

• Working Knowledge of Market Data delivery networks using both TCP and UDP multicast with an ability to comprehensively troubleshoot through these networks

Project Description: We are seeking a skilled and experienced Data Engineer to join our Data & Analytics team. The ideal candidate will have a strong background in Snowflake SQL, investment reporting data, and financial knowledge related to investment management. As a Data Engineer, you will play a critical role in designing, implementing, and maintaining our data infrastructure to support investment reporting and analytics.

Responsibilities:
- Design, implement, and maintain scalable and efficient data pipelines using Snowflake and SQL.
- Develop data models, ETL processes, and data integration workflows to ensure high data quality and reliability.
- Optimize data storage and retrieval performance in Snowflake.

Data Manipulation and Transformation:
- Perform complex data manipulation and transformation using SQL to prepare data for analysis and reporting.
- Implement data cleansing, aggregation, and enrichment processes to ensure data accuracy and consistency.
- Develop and maintain reusable SQL scripts and stored procedures for data processing.

Collaboration and Support:
- Collaborate with data analysts and other stakeholders to understand data requirements and deliver solutions that meet their needs.
- Provide technical guidance and mentorship to junior data engineers and other team members.
- Work closely with IT and DevOps teams to ensure seamless data integration and deployment.
- Data Layer Preparation:

Design and build data layers to support various analytical and reporting needs.
- Ensure data layers are well-documented, easily accessible, and performant.
- Implement data governance and security best practices to protect sensitive information.
- Performance Tuning and Optimization:

Monitor and optimize the performance of data pipelines, databases, and queries.
- Identify and resolve performance bottlenecks to ensure timely and efficient data processing.
- Stay up-to-date with the latest trends and best practices in data engineering and apply them to improve our data infrastructure.
Mandatory Skills Description:
- Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field

Experience:
- Minimum of 1-2 years of experience in data engineering, with a strong focus on SQL and data manipulation.
- Proven experience working with Snowflake or other cloud-based data warehousing solutions.
- Experience with Tableau
- Strong background in designing data model and building scalable data pipelines and data models.
- Solid understanding of financial instruments, investment operations, investment reporting and portfolio management concepts.
- Knowledge of investment performance measurement, risk analysis, and portfolio management concepts.

Skills:
- Expert-level proficiency in SQL, with the ability to write complex queries and optimize them for performance.
- Strong experience with ETL tools and processes.
- Familiarity with Tableau
- Knowledge of data governance, security, and compliance best practices.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration skills.

Nice-to-Have Skills Description:
- Familiarity with programming languages such as Python, LLM, Langchain

At EY, we develop you with future-focused skills and equip you with world-class experiences. We empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. We work together across our full spectrum of services and skills powered by technology and AI, so that business, people and the planet can thrive together. 

We’re all in, are you? Join EY and shape your future with confidence.

The opportunity

EY AI & Data is the data and advanced analytics capability within EY Asia-Pacific, with over 500 specialist employees working across multiple industry sectors.

We implement information-driven strategies, data platforms and advanced data analytics solution systems that help grow, optimize and protect client organizations. We go beyond strategy and provide end to end design, build and implementation of real-life data environments and have some of the best architects, project managers, business analysts, data scientists, big data engineers, developers and consultants in the region.

We are looking for passionate AI Engineers to join our growing team. This role combines expertise in artificial intelligence, natural language modelling, machine learning and software engineering to develop and deploy multi-agentic workflows & applications.  

Your key responsibilities

• Design, build and deploy intelligent single / multi-agentic application that leverage GenAI models (e.g. LLMs) and perform task decomposition, planning and execution.
• Develop and maintain end-to-end AI-powered workflows integrated with backend systems, APIs and data pipelines on cloud-based platforms (example Microsoft Azure, AWS).
• Develop, refine, and implement advanced NLP (natural language processing) & predictive models to generate insights from complex structured and unstructured data sets.
• Collaborate with cross-functional teams to understand business requirements and translate them into scalable GenAI solutions.
• Conduct rapid prototyping, PoCs and experiments in AI agent frameworks (e.g. Lang Framework including Langchain, LangFlow, LangGraph & LangSmith or LlamaIndex)
• Ensure good code quality, packaging meeting production deployment requirements and maintainability through best practices in software engineering.
• Utilize full-stack development knowledge using DevOps with hands-on practice in language like Python, Java, React (Node.js) language to develop end-to-end application.
• Collaborate with stakeholders, presenting findings to a business / management audience and providing strategic recommendations.
• Support the production of scalable and optimised AI or machine learning (ML) models.
• Focus on building algorithms for the extraction, transformation and loading of large volumes of real-time, unstructured data to deploy AI or ML solutions from theoretical data science models.
• Run experiments to test the performance of deployed models, and identifies and resolves bugs that arise in the process.
• Work in a team setting and apply knowledge in statistics, scripting and programming languages required by the firm.
• Work with the relevant software platforms in which the models are deployed.
• Stay current with technical and industry developments and standards to ensure effective and advanced applications of data analysis techniques and methodologies.
• Define success metrics and deliverable timelines, ensuring projects are delivered on time and meet strategic objectives.

Skills and attributes for success

• Experience / beginner knowledge in Natural Language Processing (NLP), Machine Learning, , Generative AI, Data Transformation, Scripting.
• Knowledge and experience in project delivery, either traditional SDLC or agile delivery methodologies (or hybrid approaches)
• Experience in a delivery role on exploratory analysis, data science, Big Data analytics projects
• Exceptional communication, documentation and presentation skills and stakeholder management experience
• Experience in business intelligence, data warehousing/platform, and data strategy projects

To qualify for the role, you must have

• Min bachelor’s degree in computer science, Mathematics, Engineering, Statistics, or a related field.
• At least 1 year of experience with any of the domain - Natural Language Processing (NLP), Machine Learning, Generative AI specifically with Large Language Models (LLM).
• Proficiency in Python and other applicable full-stack software programming languages.
• Strong knowledge of machine learning, language modelling, data mining, and predictive modeling.
• Excellent understanding of data science algorithms, processes, tools, and platforms.
• Possess a strong problem-solving mindset, with the ability to work in ambiguous and fast-paced environments
• Knowledge of API integration, containerization (E.g., Docker), cloud platforms (E.g. Azure, AWS, GCP), automated testing frameworks, and CI/CD practices

What we look for

• Highly motivated individuals with excellent problem-solving skills and the ability to prioritize shifting workloads in a rapidly changing industry.
• An effective communicator, you’ll be a confident leader equipped with strong people management skills and a genuine passion to make things happen in a dynamic organization.

What we offer

EY offers a competitive remuneration package commensurate with your work experience where you’ll be rewarded for your individual and team performance. We are committed to being an inclusive employer and are happy to consider flexible working arrangements, where this may be needed, guided by our FWA Policy.

Plus, we offer:

• Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
• Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
• Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.
• Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.

If you can demonstrate that you meet the criteria above, apply today!

Responsibilities:

• Prepare and complete orders for delivery or pickup according to schedule (pick, pack, wrap, label, ship)
• Receive and process warehouse stock products (pick, receipt, label, store)
• Perform spare parts inspection to meet the RMA requirement.
• Manage Inventory logs & updates in Inventory System.
• Perform inventory controls and keep quality standards high for audits.
• Keep a clean and safe working environment and optimise space utilisation.
• Report any discrepancies.
• Communicate and cooperate with supervisors and colleagues.
• Operate and maintain preventively warehouse vehicles and equipment eg pallet stacker, pallet jet.
• Follow quality service standards and comply with procedures, rules, and regulations.
• Others assigned tasks by Supervisors if require.

Requirement:

• Proven working experience as a Warehouse Personnel.
• Proficiency in Inventory software, databases, and systems eg In and Out of inventory.
• Basic MS office and Outlook Skills.
• Familiarity with standard warehousing practices and methods
• Good organisational and time management skills
• Ability to lift heavy goods & using of pallet stacker & pallet jack.
• Basic fluency in English Language.

Responsibilities

• Explore new external data sources to understand availability and quality and make them easily accessible to different stakeholders for different use cases
• Develop solutions that enable investment professionals and data science teams to efficiently extract insights from data. This includes owning the ingestion and transformation
• Work with multiple stakeholders [internal end user, external technical consultants] to drive the development of firm’s enterprise data catalogue system
• Partner with the investment professionals, quantitative researchers, and data scientists to design, develop and deploy solutions that answer fundamental questions about companies, sectors, countries and financial markets
• Build tools and automation capabilities for data pipelines that improve the efficiency, quality and resiliency of our data platform
• Drive the evolution of our data strategy by challenging the status quo and identifying opportunities to enhance our platform

Requirements

• Minimum 7+ years experience in data engineering with a passion for data and software development
• Proficient in Data Warehousing, Machine Learning, and CI/CD workflows like Jenkins
• Skilled in managing multiple Docker deployments and deploying microservices for backend and ML model hosting
• Experience with cloud platforms: AWS, Azure Cloud, Kubernetes, and preferably Snowflake or similar data warehouse tech
• Programming proficiency in Python and SQL with knowledge of data caching and cloud data reuse strategies
• Background in quantitative hedge funds or technology companies preferred; strong communication skills required
• Bachelor’s or Master’s in Computer Science or equivalent experience
• Bonus skills include experience with Generative AI and rapid prototyping frameworks like Streamlit

Job Duties

-Utilize SQL to extract, clean, and process large datasets from various databases, ensuring data accuracy for risk analysis and reporting.

-Support the development and iteration of credit risk models and anti-fraud rules using machine learning algorithms such as XGBoost, GBDT, and Logistic Regression.

-Analyze financial and transactional data to identify potential risk trends, abnormal fluctuations, and fraud patterns to support decision-making.

-Perform feature engineering and data exploration to identify key risk indicators that improve model predictive performance.

-Monitor the performance of risk models and automated rules in production, assisting in troubleshooting and system stability checks.

-Collaborate with cross-functional teams, including Data Engineers and Product Managers, to translate data findings into actionable risk strategies.

Requirements

-Bachelor’s Degree or higher in a quantitative field such as Statistics, Mathematics, Computer Science, or Financial Engineering.

-Solid proficiency in SQL is a must; comfortable with complex queries and data manipulation in environments like MySQL, Hive, or Oracle.

-Proficient in Python for data analysis, with experience using libraries such as Pandas, Scikit-learn, or Matplotlib.

-Basic understanding or academic exposure to predictive modeling, including credit scorecards, classification, or regression analysis.

-Strong logical thinking and numerical reasoning skills, with a keen eye for detail and data integrity. Familiarity with statistical tools or other programming languages (e.g., R, SAS) is an advantage.

-For Junior level: Open to fresh graduates or candidates with 1–2 years of relevant experience; academic or internship exposure to predictive modeling (e.g., credit scorecards or regression analysis) is preferred.

-For Mid-level: 3–5 years of professional experience in Fintech, Banking, or Risk Control with a proven track record of deploying models into production

·      5 Work Days, 8.30am-5.30pm / 9am-6pm

·      Office Near to Kaki Bukit MRT, Singapore

·      Medical Benefits Provided

·      Entitled to Yearly Bonus & Performance Bonus

Job Responsibilities ( Entry / Junior Backend Engineer)

Design & Development

• Take ownership of the design, development, refactoring, and performance optimization of core system components, delivering high-quality and maintainable code.

Technical Innovation & Problem-Solving

• Research, design, and implement innovative solutions to address complex business and technical problems, particularly in high-concurrency scenarios.

System Architecture

• Contribute to system architecture decisions, focusing on scalability, high availability, and fault tolerance.

Full-Lifecycle Participation

• Actively participate in the entire software development lifecycle, from requirements analysis and system design to testing, deployment, and operational monitoring.

Collaboration & Knowledge Sharing

• Work effectively with local and regional team members, as well as business unit partners.
• Share knowledge, promote best practices, and help elevate the team's overall technical capabilities.

Job Requirements

1. Bachelor's or Master's degree in Computer Science, Software Engineering, or a related technical discipline
2. Relevant software development experience.
3. Strong understanding of computer science fundamentals (operating systems, network principles, data structures, and algorithms)
4. Programming Languages: High proficiency in Java (including JVM internals and performance tuning) or Node.js (including its event-driven architecture and asynchronous programming model). Proficiency in both is a significant plus.
5. Frameworks & Middleware: Proficient with common open-source frameworks and tools such as Kafka, RocketMQ, Dubbo, Zookeeper, and Redis.
6. Deep knowledge of MySQL, including schema design, SQL optimization, and database scaling strategies.
7. System Experience: Proven, hands-on experience in building, deploying, and maintaining high-concurrency, high-performance, and high-availability systems.

Reolink, a leader in intelligent visual technology for homes and businesses, was founded in 2009 by a group of engineers with a strong commitment to and passion for smarter security solutions.

Our products are now trusted by millions of users acrossmore than 110 countries and regions worldwide. Building on this trust, wecontinue expanding our presence and bringing our innovations to more markets around the globe. 

Reolink remains committed to delivering advanced, reliable, and user‑centric solutions that empower people to protect what matters most.

Responsibilities:

1. Responsible for defining data tracking solutions for the company's various business products and organizing relevant data tracking documentation.

2. Liaise with business departments to gain an in-depth understanding of reporting and data analysis requirements; independently conduct data requirement analysis, logic sorting, task breakdown and data development implementation. Oversee the development, maintenance and optimization of business report data to provide fast and accurate data support for BI.

3. Implement data warehouse optimization and data governance initiatives based on the current status of the data warehouse.

4. Undertake data development for the user profile platform, supporting the development of platform data service requirements, user segment performance measurement, and the improvement of tag timeliness and accuracy.

Qualifications:

1. At least 0-3 years of experience in big data development; bachelor’s degree or above, with a major in Computer Science, Software Engineering, Data Science or related fields preferred.

2. Fluent communication skills in both Chinese and English.

3. Proficient in Spark, Spark SQL and Hive SQL, with the ability to perform performance tuning.

4. Solid experience in data warehouse modeling and data governance; able to independently design data warehouses and evaluate data warehouse health.

Proficient in at least one commonly used programming language in the big data ecosystem (Python, Scala, Java).

5. Experience with large cloud platforms in the Internet industry (AWS, Azure) and familiarity with their big data-related services is preferred.