16 Financial Engineer jobs in Singapore

About the job
The Financial Engineer will design and implement quantitative models to optimise energy trading operations, manage financial risks, and support strategic decision-making. This role blends technical expertise, market knowledge, and collaboration with traders and risk managers to deliver commercial impact.

Key Responsibilities

Modelling & Analytics: Build and enhance pricing, risk, and trading models for energy markets, including derivatives and structured products.
Loss Control: Develop frameworks to minimise losses through risk avoidance, prevention, and diversification.
Market Insights: Analyse large datasets to identify trends, forecast prices, and assess credit risk.
Simulation & Forecasting: Run power system simulations and perform scenario-based forecasting.
Collaboration: Work with traders, risk teams, and stakeholders to align strategies and risk practices.
Client Engagement: Advise clients on market conditions, validate pricing models, and tailor solutions.
Compliance: Ensure adherence to regulatory and internal policy requirements.
Technical Development: Write and maintain robust financial applications (Python, Java, Django).
Continuous Improvement: Adapt models and systems to evolving markets and technologies.

QualificationsEducation: Master's or PhD in Finance, Mathematics, Engineering, Computer Science, or similar quantitative field.
Experience: 3+ years in quantitative finance, ideally in energy trading.
Technical: Strong Python skills; experience with statistical tools and financial modelling software.
Industry Knowledge: Solid grasp of energy markets, trading strategies, and risk management.

If you'd like to apply for this role, please send your CV to Lily at .

We are seeking a highly motivated and detail-oriented Research Assistant to support the Principal Investigator in research projects related to Biostatistics and Modelling.

The successful candidate will work on a project studying infectious disease dynamics and impact of control using mathematical and statistical models. The role will involve working on research projects in Asia, analyzing data using statistical and mathematical modelling techniques, writing reports and presentations, and publishing results and findings in peer-reviewed journals.

This is an excellent opportunity for individuals with a strong background in Computer Science, Mathematics, Statistics, Engineering, Physics, or Biomedical/Life Sciences to gain valuable experience and contribute to cutting-edge research in public health.

• Hold a Bachelor's Degree in Computer Science, Mathematics, Statistics, Engineering, Physics, or Biomedical/Life Sciences.
• Have excellent written and verbal communication skills.
• Be able to work effectively with colleagues to achieve team goals.
• Have good proficiency in Statistical software (R).

The successful candidate will have the opportunity to work on a dynamic and diverse team, gain hands-on experience in research and analysis, and develop their skills in statistical modelling and data analysis.

Recruitment is open immediately, and applications will be considered until the position is filled. Interested candidates should submit their CV, three named references, and any additional supporting documents via email. For further enquiries, please contact Dr Hannah Clapham at (email address).

We are seeking a highly skilled Quantitative Researcher to join our team. As a key member of the organization, you will be responsible for developing and applying technical strategies using quantitative and machine learning methods to meet business goals.

The ideal candidate will have a strong background in a quantitative field such as Mathematics, Statistics, Economics, or Quantitative Finance, with at least 3 years of experience in financial quantitative research roles. They will also possess hands-on experience with machine learning tools like TensorFlow and PyTorch, as well as expertise in developing NLP models for financial use.

In this role, you will work closely with the CEO and technical team to drive research projects and improve systems. You will provide expert advice on quantitative analysis and algorithm design, and lead the development and back-testing of quantitative and fundamental strategies. Additionally, you will work with team members to develop and improve AI tools for market prediction and portfolio optimization.

The successful candidate will have a Master's degree in a quantitative field, and excellent programming skills in languages such as Python, C++, Java, MySQL, Matlab, R, and Latex. They will also be able to communicate complex ideas effectively and work collaboratively in a team environment.

We are looking for a highly experienced Senior DevOps Engineer with a strong background in financial markets and cloud-native infrastructure. You will play a key role in designing, implementing, and maintaining robust DevOps pipelines and cloud environments that support mission-critical financial applications. This role demands deep expertise in AWS Cloud , EKS , GitOps , and modern CI/CD practices, along with strong coding, scripting, and observability skills.
Key Responsibilities
Design, build, and maintain scalable and secure AWS Cloud infrastructure using Infrastructure as Code (IaC) .
Manage and optimize Kubernetes clusters using Amazon EKS , ensuring high availability and performance.
Implement and maintain GitOps workflows using tools like ArgoCD .
Develop and support CI/CD pipelines for automated testing, deployment, and monitoring.
Collaborate with development teams to integrate DevOps practices into the software lifecycle.
Automate infrastructure provisioning, configuration, and monitoring using scripting and coding.
Ensure compliance with security and regulatory standards in financial environments.
Implement and manage observability frameworks using OpenTelemetry , Prometheus , Grafana , and related tools.
Troubleshoot and resolve infrastructure and deployment issues across environments.
Monitor system performance, reliability, and cost efficiency.
Mentor junior engineers and contribute to DevOps best practices across the organization.
Required Skills & Experience
Cloud & Containerization:
Deep expertise in AWS Cloud Services (EC2, S3, IAM, CloudFormation, Lambda, etc.).
Strong experience with Amazon EKS and Kubernetes administration.
Hands-on with ArgoCD , Flux , or similar GitOps tools.
Proficiency in Docker , Helm , and container orchestration.
CI/CD & Automation:
Proven experience with CI/CD tools such as Jenkins, GitHub Actions, GitLab CI, or CircleCI.
Strong scripting skills in Bash , PowerShell , or Python .
Experience with Infrastructure as Code using Terraform , CloudFormation , or Pulumi .
Observability & Monitoring:
Experience implementing OpenTelemetry for distributed tracing and metrics collection.
Familiarity with Prometheus , Grafana , ELK Stack , Datadog , or similar tools.
Ability to design and maintain end-to-end observability pipelines.
Coding & Integration:
Ability to code in at least one of: Java , C# , Python , or JavaScript .
Experience integrating DevOps pipelines with application codebases and test frameworks.
Financial Domain Knowledge:
Prior experience in financial markets , capital markets , or fintech environments.
Understanding of the operational and regulatory requirements of financial systems.
Soft Skills:
Strong problem-solving and analytical skills.
Excellent communication and collaboration abilities.
Ability to thrive in a fast-paced, high-stakes environment.
Preferred Extras
Experience with security best practices in cloud and containerized environments.
Exposure to high-frequency trading , market data systems , or real-time analytics .
Familiarity with service mesh technologies like Istio or Linkerd.
Why Apply?
Build and scale infrastructure for cutting-edge financial platforms.
Work with a team of elite engineers and financial technologists.
Competitive compensation, performance bonuses, and benefits.
Flexible work culture with a focus on innovation and excellence.
#J-18808-Ljbffr

Join to apply for the Research Analyst/ Associate/ Fellow in Database and Quantitative Analysis role at National University of Singapore .

1 hour ago Be among the first 25 applicants

Join to apply for the Research Analyst/ Associate/ Fellow in Database and Quantitative Analysis role at National University of Singapore .

The Role

The Sustainable and Green Finance Institute (SGFIN) is a new university-level research institute in the National University of Singapore (NUS), jointly supported by the Monetary Authority of Singapore (MAS) and NUS. SGFIN aims to develop deep research capabilities in sustainable and green finance, provide thought leadership, and shape sustainability outcomes across the financial sector and economy.

This role is suitable for those interested in academic or industry research in finance, especially in quantitative analysis. Responsibilities include designing and developing smart databases of unstructured and non-traditional information related to corporate environmental and social impacts.

There are no teaching obligations, and the candidate can develop their research portfolio.

Duties and Responsibilities:

• Design research projects in collaboration with institute directors and research affiliates.
• Manage and deliver research projects within deadlines and budgets, ensuring quality and targets are met.
• Identify resources and prepare high-level project plans.
• Develop data collection and storage frameworks.
• Collect data from various sources and perform quantitative analyses, including textual and graphical analysis.
• Develop accessible databases for internal and external use.
• Monitor project progress and ensure smooth completion.
• Manage stakeholder collaborations, providing progress updates and deliverables.
• Prepare results for industry communications, presentations, and academic publications.
• For Research Fellow: guide and supervise research staff.
• Support SGFIN activities and objectives.

Requirements:

• Degree in computing, information systems, economics, finance, or related fields; bachelor's required, master's preferred, PhD for Research Fellow.
• Understanding of financial sector, markets, and corporate financial statements preferred.
• Strong knowledge in quantitative analysis and programming, including textual and graphical analysis.
• Experience in database design and management preferred.
• Proactive problem-solving, good time management, and project management skills.
• Ability to handle multiple projects, adapt to change, and work collaboratively.
• Excellent communication and interpersonal skills, with leadership qualities.

• Seniority level: Not Applicable
• Employment type: Full-time
• Job function: Research, Analyst, and IT
• Industries: Higher Education, Education Administration, Strategic Management

Referrals increase your chances of interviewing at NUS by 2x. Get notified about new Research Analyst jobs in Singapore.

Research Analyst/ Associate/ Fellow in Database and Quantitative Analysis

Join to apply for the Research Analyst/ Associate/ Fellow in Database and Quantitative Analysis role at National University of Singapore .

Research Analyst/ Associate/ Fellow in Database and Quantitative Analysis

1 hour ago Be among the first 25 applicants

Join to apply for the Research Analyst/ Associate/ Fellow in Database and Quantitative Analysis role at National University of Singapore .

The Role

The Sustainable and Green Finance Institute (SGFIN) is a new university-level research institute in the National University of Singapore (NUS), jointly supported by the Monetary Authority of Singapore (MAS) and NUS. SGFIN aims to develop deep research capabilities in sustainable and green finance, provide thought leadership, and shape sustainability outcomes across the financial sector and economy.

This role is suitable for those interested in academic or industry research in finance, especially in quantitative analysis. Responsibilities include designing and developing smart databases of unstructured and non-traditional information related to corporate environmental and social impacts.

There are no teaching obligations, and the candidate can develop their research portfolio.

Duties and Responsibilities:

• Design research projects in collaboration with institute directors and research affiliates.
• Manage and deliver research projects within deadlines and budgets, ensuring quality and targets are met.
• Identify resources and prepare high-level project plans.
• Develop data collection and storage frameworks.
• Collect data from various sources and perform quantitative analyses, including textual and graphical analysis.
• Develop accessible databases for internal and external use.
• Monitor project progress and ensure smooth completion.
• Manage stakeholder collaborations, providing progress updates and deliverables.
• Prepare results for industry communications, presentations, and academic publications.
• For Research Fellow: guide and supervise research staff.
• Support SGFIN activities and objectives.

Requirements:

• Degree in computing, information systems, economics, finance, or related fields; bachelor's required, master's preferred, PhD for Research Fellow.
• Understanding of financial sector, markets, and corporate financial statements preferred.
• Strong knowledge in quantitative analysis and programming, including textual and graphical analysis.
• Experience in database design and management preferred.
• Proactive problem-solving, good time management, and project management skills.
• Ability to handle multiple projects, adapt to change, and work collaboratively.
• Excellent communication and interpersonal skills, with leadership qualities.

Additional Details

• Seniority level: Not Applicable
• Employment type: Full-time
• Job function: Research, Analyst, and IT
• Industries: Higher Education, Education Administration, Strategic Management

Referrals increase your chances of interviewing at NUS by 2x. Get notified about new Research Analyst jobs in Singapore.

OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa.

At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.

Explore the data landscape: profile on-chain, off-chain, fiat and KYC datasets to understand structures, gaps and lineage. Document findings for downstream engineering teams.

Prototype features for ML & rules: translate typologies and investigator hypotheses into measurable candidate variables (e.g., velocity, counterparty risk scores, graph metrics) using SQL/Python and big data.

Validate data quality & drift: run one-off QC checks, anomaly detection and basic stratified sampling to confirm a feature’s stability before production hand-off.

Collaborate with modelers & investigators: iterate quickly on feature definitions, and refine logic based on model performance and investigative feedback.

Maintain a living feature catalogue: version each prototype, capture business meaning, lineage and sample metrics so production data engineers can industrialize it.

Support regulatory look-backs & ad-hoc research: replay historical data, craft quick queries and surface insights that help Compliance and Compliance Product teams respond to audits or enforcement actions.

Stay current: monitor emerging AML data-science techniques (graph ML, LLM embeddings, anomaly detection) and assess their applicability to crypto and fiat monitoring.

4+ years in data engineering / analytics with hands-on feature-engineering and exploratory data analysis; AML or broader compliance experience is a plus.

Expertise in SQL and Python (Pandas, PySpark, or similar) within notebook workflows, plus hands-on experience with big data stacks such as Spark/Hadoop, Databricks and Alibaba DataWorks

Solid grounding in machine-learning fundamentals (supervised, unsupervised, evaluation metrics) and how features impact model performance.

Experience translating AML / regulatory concepts into quantitative features—e.g., structuring, layering, sanctions exposure.

Strong exploratory mindset: you’re comfortable with messy, ambiguous data and love turning it into structured insight.

Effective communicator who can collaborate with downstream data engineers and data scientists and explain feature logic to investigators and auditors.

Ability to work collaboratively in a fast-paced, dynamic environment.

Self-directed, curious, and hungry to experiment with new data sources — blockchain analytics, vendor feeds, public datasets.

Bonus: Working knowledge of the crypto ecosystem, VASP regulations, and typical AML data flows (KYT, KYC, TM, case management).

L&D programs and Education subsidy for employees' growth and development

Various team building programs and company events

Wellness and meal allowances

Comprehensive healthcare schemes for employees and dependants

More that we love to tell you along the process!

#LI-WWW
#LI-ONSITE

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Education

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Degree Select.

Start date year

End date year

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LinkedIn Profile

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What is your notice period to your current employer? * Select.

What language(s) are you fluent in?

Spanish

Hindi

(Add other languages here)"

Where are you currently employed or where were you last employed? *

OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa.

At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.

What You’ll Be Doing

Explore the data landscape: profile on-chain, off-chain, fiat and KYC datasets to understand structures, gaps and lineage. Document findings for downstream engineering teams.

Prototype features for ML & rules: translate typologies and investigator hypotheses into measurable candidate variables (e.g., velocity, counterparty risk scores, graph metrics) using SQL/Python and big data.

Validate data quality & drift: run one-off QC checks, anomaly detection and basic stratified sampling to confirm a feature’s stability before production hand-off.

Collaborate with modelers & investigators: iterate quickly on feature definitions, and refine logic based on model performance and investigative feedback.

Maintain a living feature catalogue: version each prototype, capture business meaning, lineage and sample metrics so production data engineers can industrialize it.

Support regulatory look-backs & ad-hoc research: replay historical data, craft quick queries and surface insights that help Compliance and Compliance Product teams respond to audits or enforcement actions.

Stay current: monitor emerging AML data-science techniques (graph ML, LLM embeddings, anomaly detection) and assess their applicability to crypto and fiat monitoring.

What We Look For In You

4+ years in data engineering / analytics with hands-on feature-engineering and exploratory data analysis; AML or broader compliance experience is a plus.

Expertise in SQL and Python (Pandas, PySpark, or similar) within notebook workflows, plus hands-on experience with big data stacks such as Spark/Hadoop, Databricks and Alibaba DataWorks

Solid grounding in machine-learning fundamentals (supervised, unsupervised, evaluation metrics) and how features impact model performance.

Experience translating AML / regulatory concepts into quantitative features—e.g., structuring, layering, sanctions exposure.

Strong exploratory mindset: you’re comfortable with messy, ambiguous data and love turning it into structured insight.

Effective communicator who can collaborate with downstream data engineers and data scientists and explain feature logic to investigators and auditors.

Ability to work collaboratively in a fast-paced, dynamic environment.

Self-directed, curious, and hungry to experiment with new data sources — blockchain analytics, vendor feeds, public datasets.

Bonus: Working knowledge of the crypto ecosystem, VASP regulations, and typical AML data flows (KYT, KYC, TM, case management).

Perks & Benefits

Competitive total compensation package

L&D programs and Education subsidy for employees' growth and development

Various team building programs and company events

Wellness and meal allowances

Comprehensive healthcare schemes for employees and dependants

More that we love to tell you along the process!

#LI-WWW
#LI-ONSITE

Data Engineer - Anti Financial Crime (Business Analysis Manager)

OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa.

Who We Are

At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.

What You’ll Be Doing

Explore the data landscape: profile on-chain, off-chain, fiat and KYC datasets to understand structures, gaps and lineage. Document findings for downstream engineering teams.

Prototype features for ML & rules: translate typologies and investigator hypotheses into measurable candidate variables (e.g., velocity, counterparty risk scores, graph metrics) using SQL/Python and big data.

Validate data quality & drift: run one-off QC checks, anomaly detection and basic stratified sampling to confirm a feature’s stability before production hand-off.

Collaborate with modelers & investigators: iterate quickly on feature definitions, and refine logic based on model performance and investigative feedback.

Maintain a living feature catalogue: version each prototype, capture business meaning, lineage and sample metrics so production data engineers can industrialize it.

Support regulatory look-backs & ad-hoc research: replay historical data, craft quick queries and surface insights that help Compliance and Compliance Product teams respond to audits or enforcement actions.

Stay current: monitor emerging AML data-science techniques (graph ML, LLM embeddings, anomaly detection) and assess their applicability to crypto and fiat monitoring.

What We Look For In You

4+ years in data engineering / analytics with hands-on feature-engineering and exploratory data analysis; AML or broader compliance experience is a plus.

Expertise in SQL and Python (Pandas, PySpark, or similar) within notebook workflows, plus hands-on experience with big data stacks such as Spark/Hadoop, Databricks and Alibaba DataWorks

Solid grounding in machine-learning fundamentals (supervised, unsupervised, evaluation metrics) and how features impact model performance.

Experience translating AML / regulatory concepts into quantitative features—e.g., structuring, layering, sanctions exposure.

Strong exploratory mindset: you’re comfortable with messy, ambiguous data and love turning it into structured insight.

Effective communicator who can collaborate with downstream data engineers and data scientists and explain feature logic to investigators and auditors.

Ability to work collaboratively in a fast-paced, dynamic environment.

Self-directed, curious, and hungry to experiment with new data sources — blockchain analytics, vendor feeds, public datasets.

Bonus: Working knowledge of the crypto ecosystem, VASP regulations, and typical AML data flows (KYT, KYC, TM, case management).

L&D programs and Education subsidy for employees' growth and development

Various team building programs and company events

Wellness and meal allowances

Comprehensive healthcare schemes for employees and dependants

More that we love to tell you along the process!

#LI-
#LI-ONSITE

Apply for this job

*

indicates a required field

First Name *

Last Name *

Email *

Phone *

Location (City) *

Resume/CV *

Enter manually

Accepted file types: pdf, doc, docx, txt, rtf

Enter manually

Accepted file types: pdf, doc, docx, txt, rtf

Education

School Select.

Degree Select.

Start date year

End date year

Would you require work visa sponsorship to work in the advertised location for this role? * Select.

LinkedIn Profile

Website *

What is your notice period to your current employer? * Select.

What language(s) are you fluent in?

Spanish

Hindi

(Add other languages here)"

Where are you currently employed or where were you last employed? *