AI Algo Quant Trader

UBS; Singapore; On-site; SGD 260,000 - 420,000; Full time

Job summary

UBS seeks an AI Algo Quant Trader for its FX Options desk. This senior front-office role blends quantitative research, AI, and trading to develop ML-driven pricing, market-making, and execution strategies.

You will lead model development from research to live production, oversee risk management, and shape the team’s AI strategy while collaborating with traders, quants and engineers.

Qualifications

• Degree in a quantitative discipline with strong analytical skills.
• Deep knowledge of modern ML methods and statistical learning.
• Understanding of AI applied to markets and trading challenges.
• Proficiency in Python and ML/data science libraries.
• Ability to take research ideas into production with robust validation.
• Leadership to guide researchers and traders and mentor peers.
• Strong communication and collaboration across teams.

Responsibilities

• AI-Driven Trading Strategies: design, back-test and implement systematic strategies using ML/AI.
• Advanced Quantitative Research: apply statistical learning and time-series modelling to pricing and risk.
• Signal & Data Research: extract predictive info from large datasets for features and models.
• Full Lifecycle Ownership: take models from research through production and monitoring.
• Trading Performance: analyze strategy performance, PnL and risks to improve models.
• Technical Leadership & Innovation: originate ideas and mentor colleagues to integrate AI into e-trading.

Skills

Quantitative Excellence

AI & Machine Learning

AI for Markets

Programming: Python

Production & Ownership

Leadership

Communication & Collaboration

Education

Bachelor's degree in mathematics, statistics, computer science, physics, engineering or quantitative finance

Tools

NumPy

pandas

scikit-learn

PyTorch

JAX

Job description

Key Responsibilities

We are looking for an AI Algo Quant Trader to join our algorithmic trading team in UBS Global Markets, specialising in FX Options.

We are looking for an AI Algo Quant Trader to join our algorithmic trading team in UBS Global Markets, specialising in FX Options. This is a senior front-office role combining quantitative research, AI and trading. You will develop and deploy machine-learning-driven approaches to pricing, market‑making, execution and automated risk management, taking ideas from research and large‑scale data analysis through to live production.

You will also help shape the team's AI strategy, identify new opportunities and provide technical leadership across quantitative trading and AI.

Responsibilities

• AI-Driven Trading Strategies: Design, back-test and implement systematic trading strategies using quantitative, machine learning and AI techniques.
• Advanced Quantitative Research: Apply statistical learning, deep learning, time-series modelling and other modern AI methods to pricing, quoting, execution, liquidity and automated risk management.
• Signal & Data Research: Extract predictive information from large-scale market, trading and client datasets, developing robust features and models for noisy and non‑stationary financial data.
• Full Lifecycle Ownership: Take models from research and validation through coding, deployment and real‑time monitoring, with rigorous attention to out-of-sample performance, overfitting, model drift and changing market regimes.
• Trading Performance: Analyse strategy performance, PnL and risk exposures, using empirical evidence to enhance existing models and identify new trading opportunities.
• Technical Leadership & Innovation: Originate research ideas, challenge modelling assumptions, mentor colleagues and work closely with traders, quants and engineers to integrate AI‑driven strategies into our e‑trading platform.

The team

Your team

You will join UBS's electronic trading team, a highly technical group at the forefront of automated FX and Rates trading.

We combine expertise in trading, quantitative finance, machine learning and software engineering. We value intellectual curiosity, rigorous research and rapid experimentation, while maintaining a strong focus on production robustness, risk management and measurable trading outcomes.

Your Skills And Experience

You will join UBS's electronic trading team, a highly technical group at the forefront of automated FX and Rates trading.

We combine expertise in trading, quantitative finance, machine learning and software engineering. We value intellectual curiosity, rigorous research and rapid experimentation, while maintaining a strong focus on production robustness, risk management and measurable trading outcomes.

Your expertise

Essential Skills And Qualifications

• Quantitative Excellence: Strong analytical and problem‑solving skills with a degree in mathematics, statistics, computer science, physics, engineering, quantitative finance or another quantitative discipline.
• AI & Machine Learning: Strong theoretical and practical knowledge of modern machine learning, including statistical learning, deep learning and time‑series modelling. Experience with reinforcement learning or sequential decision‑making is valuable.
• AI for Markets: Strong understanding of challenges such as low signal-to-noise ratios, non‑stationarity, overfitting, data leakage, transaction costs and regime changes.
• Programming: Strong Python skills and experience with modern data science and ML frameworks such as NumPy, pandas, scikit‑learn, PyTorch or JAX.
• Production & Ownership: Demonstrated ability to take quantitative or ML research from initial idea through robust validation and into production.
• Leadership: Proven ability to originate research, provide technical direction, challenge existing approaches and mentor quantitative researchers and traders.
• Communication & Collaboration: Strong communicator and collaborative team player, comfortable working across trading, quantitative research and technology.

Desirable experience

Experience in electronic trading, market‑making, derivatives or FX, particularly FX Options, is highly desirable. Experience with large‑scale ML infrastructure, reinforcement learning, GPU computing or generative AI applied to quantitative research is also advantageous.

About Us

UBS is a leading and truly global wealth manager and the leading universal bank in Switzerland. We also provide diversified asset management solutions and focused investment banking capabilities. Headquartered in Zurich, Switzerland, UBS is present in more than 50 markets around the globe.

We know that great work is never done alone. That’s why we place collaboration at the heart of everything we do. Because together, we’re more than ourselves. Want to find out more? Visit ubs.com/careers.

Join us

At UBS, we know that it's our people, with their diverse skills, experiences and backgrounds, who drive our ongoing success. We’re dedicated to our craft and passionate about putting our people first, with new challenges, a supportive team, opportunities to grow and flexible working options when possible. Our inclusive culture brings out the best in our employees, wherever they are on their career journey. And we use artificial intelligence (AI) to work smarter and more efficiently. We also recognize that great work is never done alone. That’s why collaboration is at the heart of everything we do. Because together, we’re more than ourselves.

We’re committed to disability inclusion and if you need reasonable accommodation/adjustments throughout our recruitment process, you can always contact us.

Contact Details

UBS Business Solutions SA

UBS Recruiting

Disclaimer / Policy statements

UBS is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce.