Senior Quantitative Researcher (Data & AI)

UBS; New York (NY); On-site; USD 225,000 - 243,000; Full time

Job summary

UBS is seeking an experienced Quantitative Researcher to join Principal Flow Trading (PFT) in New York. You will apply quantitative research, analytics and AI to solve trading problems, working with traders, quants and tech teams to build analytical tools and models across Credit, Rates and FX.

The role emphasizes collaboration, production-grade deployment and impact-driven research with significant ownership from day one.

Qualifications

• Degree in Mathematics, Statistics, Physics, Engineering, Computer Science, Quantitative Finance or another highly quantitative discipline.
• Experience in quantitative research, trading analytics, electronic trading or a related front-office quantitative role.
• Strong Python programming skills and experience building quantitative research, modelling or analytics solutions.
• Strong statistical and machine learning background with large and complex data.
• Understanding of financial markets, market microstructure and electronic trading workflows.
• Experience with electronic trading, systematic trading, pricing, risk or execution analytics.
• Experience leading cross-functional quantitative initiatives and mentoring junior team members.
• You’re curious to explore how AI can improve workflows with sound judgment and risk awareness.

Responsibilities

• Partner with traders to deliver quantitative solutions that improve trading performance and risk management.
• Develop quantitative models, analytics and AI techniques using market and risk data.
• Research market behaviour and electronic trading opportunities across Credit, Rates and FX.
• Build scalable research frameworks, datasets and analytical tools for traders and researchers.
• Collaborate with tech teams to deploy production-grade models and data products.
• Contribute to the strategic development of PFT's data and AI capabilities.

Skills

Python programming

Quantitative modelling

Machine learning

Time-series analytics

Stakeholder management

Cross-functional collaboration

Credit/Rates/FX knowledge

Education

Bachelor's/Master's in Mathematics/Statistics/Physics/Engineering/CS/Quant Finance

Tools

KDB+/q

Time-series databases

Job description

Key Responsibilities

We are seeking an experienced Quantitative Researcher to join Principal Flow Trading (PFT).

Job Type

Full Time

Job Reference #

343798BR

City

New York

Key Responsibilities

We are seeking an experienced Quantitative Researcher to join Principal Flow Trading (PFT). This is a front-office role focused on applying quantitative research, advanced analytics and modern AI technologies to solve complex trading problems and generate measurable business impact. The successful candidate will work closely with traders, quants and technology teams to develop analytical tools, quantitative models and AI-driven solutions that enhance trading performance, risk management and decision-making.

The initial focus will include Credit markets and associated data initiatives, while supporting broader opportunities across Rates, FX and other Global Markets businesses.

Responsibilities:

• Partner directly with traders to identify, research and deliver quantitative solutions that improve trading performance, risk management and business outcomes.
• Develop and apply quantitative models, advanced analytics and AI techniques using trading, market, client and risk datasets.
• Conduct research into market behaviour, execution performance and electronic trading opportunities across Credit, Rates and FX.
• Build scalable research frameworks, datasets and analytical tools used by traders and quantitative researchers.
• Collaborate closely with technology teams to deploy production-quality quantitative models and data products.
• Contribute to the strategic development of PFT's quantitative research, data and AI capabilities.

The team

You will join PFT's growing Quantitative Research, Data & AI capability, working across multiple asset classes and business functions.

The team combines expertise in trading, quantitative research, software engineering, data science and AI to develop scalable solutions that directly support business performance. The environment is entrepreneurial, highly collaborative and impact-driven, with significant ownership and visibility from day one.

Your Skills And Experience

• Degree in Mathematics, Statistics, Physics, Engineering, Computer Science, Quantitative Finance or another highly quantitative discipline.
• Experience in quantitative research, trading analytics, electronic trading or a related front-office quantitative role.
• Strong Python programming skills and experience building quantitative research, modelling or analytics solutions.
• Strong statistical and machine learning background, with experience working with large and complex datasets.
• Understanding of financial markets, market microstructure and electronic trading workflows.
• Excellent problem-solving, communication and stakeholder management skills, with a demonstrated ability to deliver business impact.
• Experience within Credit, Fixed Income, Rates or FX trading businesses.
• Experience with electronic trading, systematic trading, pricing, risk or execution analytics.
• Experience with KDB+/q, time-series databases and large-scale market data environments.
• Familiarity with modern AI technologies, including LLMs, retrieval systems and agent-based workflows.
• Experience leading cross-functional quantitative initiatives and mentoring junior team members.
• You’re curious to explore how AI can improve how we build, deliver, and optimize workflows. You do this with sound judgment – validating outputs and aligning with policies, risk standards, and ethical use.

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.

Salary information

The indicative gross base salary range as a full-time equivalent role:

• United States - New York - New York min USD 225000 - max USD 242500 /annum

The expected salary for this role will be determined by relevant factors which may include but are not limited to, role-required experience, qualifications, education, location and skill level. UBS offers a range of competitive benefits and for further information, please visit ubs.com/employee-benefits. We may, at our sole discretion, provide additional variable compensation or awards.

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.

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.