Senior Quantitative Researcher: AI-Driven Trading

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

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.