Senior Quantitative Researcher (Data & AI)

UBS•New York, NY

5d•$225,000 - $242,500•Onsite

About The Position

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.

Requirements

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.

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.