51 Algorithmic Trading jobs in Singapore

About BestEx Research
BestEx Research is a financial technology and research firm specializing in building sophisticated execution algorithms and transaction cost modeling tools servicing multiple asset classes. The firm provides high-performance algorithmic execution services to hedge funds, CTAs, asset managers, and banks through a traditional electronic broker and in a broker-neutral Software as a Service (SaaS) model.
Its cloud-based platform, Algo Management System (AMS), is the first end-to-end algorithmic trading solution for equities and futures that delivers an entire ecosystem around execution algorithms, including transaction cost analysis (TCA), an algorithm customization tool called Strategy Studio, a trading dashboard, and pre-trade analytics in a single platform. The platform is currently live for U.S., Europe, and Canadian equities and global futures trading.
BestEx Research is disrupting a $100 billion industry by challenging the status quo of stale, black-box solutions from banks and offering next-generation execution algorithms that combine performance improvement with transparency and customization. BestEx Research uses leading-edge technology to support its low-latency, highly scalable research and trading systems, with its backend in C++, research libraries in C++/Python and R, and web-based technologies for delivering its front-end platforms.
BestEx Research’s mission is to become the leader in automation and measurement of execution across asset classes globally and significantly reduce transaction costs for our clients.
Visit bestexresearch.com for more information about our mission, products, research, and services.
Why Join Us?
BestEx Research’s Bangalore office is not an “offshore center.” It’s a core engineering and research hub—working on the exact same problems and projects as our U.S. team. You’ll be part of the global brain trust, solving some of the hardest problems in trading, systems, and data science.
What You’ll Love:
· Zero bureaucracy, zero silos—engineers directly collaborate with traders, researchers, and the management team.
· Direct ownership of subsystems.
· Daily opportunity to learn from pioneers in HFT, low-latency systems, and algo trading.
· A high-trust environment, where performance speaks louder than hierarchy.
· Competitive compensation in India, including equity and cash bonuses.
· Ability to transition between various teams and projects, whether related to trading systems, algorithmic trading or system tooling
· 5-week structured training program:
o Market microstructure and trading mechanics
o Algorithmic execution and strategy design
o Exchange simulators and performance testing
o Market data systems and real-time analytics
o Hands-on exercises using production research data
· Continuous professional development, with refresher courses, advanced sessions, and on-demand training tailored to your growth.
· Global exposure: Opportunities to collaborate with, visit, or relocate to our U.S., Singapore, or London offices, based on performance and business needs.
Your Role: Build What Most Engineers Never Get to Touch
You’ll be part of a lean, focused team building ultra-low-latency trading systems, real-time exchange simulators, execution algorithms, and alpha forecasting models. Our engineers own the stack—from C++ nanosecond-sensitive infrastructure to Python-based research platforms.
This role is ideal for someone who thrives at the intersection of research and engineering—comfortable building systems, testing hypotheses, and working directly with data that moves markets.
What You’ll Work On
Designing and developing system architecture :
· Core trading systems and algorithmic trading frameworks
· High-performance execution algorithms for global markets
· Exchange simulators and tick-level backtesting frameworks
· Market data adaptors and exchange connectivity adaptors
Building from scratch :
· Trading systems for new asset classes and execution algorithms
· Performance optimizations for low-latency, high-throughput systems
Enhancing existing systems :
· Add support for new features and improve scalability and reliability
Collaborating closely with :
· A global team of quants, traders, and senior engineers to design cutting-edge solutions
Analyzing and optimizing system performance :
· Across application, OS, and hardware layers to achieve industry-leading performance
· Work primarily with C++17 in a high-impact, low-bureaucracy environment
You Should Have:
· Bachelor’s or Master’s from a top-tier CS or Engineering program (IIT/NIT/BITS preferred but not required)
· At least 5+ years software development experience with C++
· Expert-level knowledge of C++ and excellent software design skills
· Expert-level knowledge of TCP/IP and multithreading
· Excellent problem solving and analytical skills
· Excellent communication skills and ability to articulate ideas
· An attitude of constant curiosity and growth, as well as the ability and desire to mentor others
· While domain experience is a plus, we welcome strong engineers from other industries
Bonus Points For
· Database optimization and experience with research or market data pipelines
· Prior work on trading platforms, FIX engines, or exchange protocols
· Contributions to open-source C++/Python performance tools, ability to work with large datasets
· Prior experience developing trading systems or execution algorithms
· Knowledge of relational databases, database optimizations, and SQL.
· Experience with Python/R
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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.

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

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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.

Analog Capital offers a unique opportunity to gain broad exposure to the Venture Capital (VC) business line. With a primary focus on VC, you will be immersed in the fast-paced world of early-stage investing and develop a deep understanding of the venture capital landscape.

Key Responsibilities:

• Deal Sourcing and Evaluation: Identify and research potential investment opportunities across various sectors. Conduct due diligence on potential investments, including financial analysis, market research, and competitive landscape assessment. Prepare investment memos and present findings to the investment team.
• Portfolio Support: Work closely with portfolio companies to provide strategic guidance and support. Monitor portfolio company performance and prepare regular updates for the investment team. Assist with fundraising and exit strategies for portfolio companies.
• Market Research: Stay abreast of industry trends and developments. Track emerging technologies and business models. Prepare market research reports and presentations.
• Internal Operations: Support internal teams with administrative tasks and special projects. Contribute to the development of internal tools and processes.
• Investor Relations Support: Support the GP team with fundraising project management and activities. Coordinate across front-office and back-office teams to prepare LP reports.

Qualifications and Requirements:

• A Bachelor's degree with at least Second Upper Class Honours (or an equivalent qualification) in a relevant field (e.g., finance, economics, business, STEM) from a top-tier university.
• Proven analytical and quantitative skills, including ability to analyze complex data (both financial and non-financial) and build various financial and operating models.
• Excellent communication and interpersonal skills, including ability to communicate effectively both orally and in writing and build relationships with entrepreneurs, investors, and colleagues.
• Demonstrated interest in the VC / PE industry and entrepreneurship, as well as intellectual curiosity and desire to learn and grow.
• Prior experience in data platforms such as Bloomberg, Capital IQ, Pitchbook and Tracxn is preferred but not required.

Benefits:

• Rotational assignments in Analog Capital's business lines (VC, Growth Equity, Family Office), with a primary focus on VC.
• Mentorship and training from senior investment professionals.
• Networking opportunities with entrepreneurs, investors, and other industry professionals.

Job Overview:

We are seeking a highly skilled Investment Portfolio Manager to join our team. The successful candidate will be responsible for managing financial and investment portfolios for corporate businesses (B2B) and individual clients (B2C). This is an exciting opportunity to work with a dynamic team and contribute to the growth of our clients' portfolios.

Key Responsibilities:

• Manage financial and investment portfolios for corporate businesses (B2B) and individual clients (B2C)
• Analyse financial markets and investment funds such as Equities, ETFs, Bonds and Unit Trusts
• Provide integrated financial solutions for clients through Wealth Preservation, Partnership Management, Estate and Business Succession Planning
• Develop business strategies based on current market developments to grow clients' portfolios

Required Skills and Qualifications:

• Candidates must possess at least one of the following academic minimum entry requirements:
• A full certificate in GCE 'A' Level;
• International Baccalaureate Diploma qualification;
• Diploma awarded by a Polytechnic in Singapore;
• Or any other academic qualification which is equivalent to the above qualifications
• Ability to work independently and as part of a dynamic team

Benefits:

• Career advancement to senior executive and managerial roles
• Entails work-life balance and flexible working hours
• Comprehensive structured training program tailored
• One on one Mentorship will be provided
• Supportive and collaborative team culture
• Remuneration: Additional incentives & bonuses are based on performance
• Incentivized overseas trips

To ensure seamless transactions across multiple asset classes, including Equity, Options, Derivatives, FX, and Commodities, this role oversees the clearing and settlement processes. Ensuring accurate reconciliation of positions and cash reduces operational risk.

• Collaborate with internal teams and external exchanges to resolve issues and drive continuous improvement.
• Act as a subject matter expert, implementing new processes to enhance overall performance.

• Strong understanding of financial markets, regulations, and risk management practices.
• Excellent communication and problem-solving skills.
• Ability to work in a fast-paced environment and prioritize tasks effectively.

• Competitive compensation package.
• Opportunities for professional growth and development.
• A dynamic and supportive work environment.

As a member of the treasury sales services team, you are expected to perform both trade execution and services functions on all treasury related products to clients.

In addition, you are expected to support our Corporate Banking RMs in joint co-marketing initiatives to help cross-sell treasury products and services to existing and new corporate clients.

You will develop marketing strategies and provide training to both internal and external clients on FX and treasury related products.

Performing trade execution and services functions for all treasury related products including FX related and interest rate hedging flow for corporate clients.

Managing the sales team to support the lending activities of the Bank and monitor sales, cross-selling and advisory performance, and Treasury business NPNM process from conceptualization to final launch.

1. Candidates shall possess a recognised university degree and should preferably have no less than 8 to 10 years’ relevant treasury marketing, FX sales and advisory experience in banks.
2. Representatives (RNF) and registered to provide advisory service in structured products and securities will be preferred.

Interested candidates may send their CV to Wai Leong at (Reg. no. R1103945) quoting the job title in the Subject line. We regret that only shortlisted candidates will be notified.