Senior Execution Quantitative Analyst - Fixed Income

Millennium; New York (NY); On-site; USD 150,000 - 200,000; Full time

Job summary

A leading financial services firm is seeking a Senior Execution Quantitative Analyst in New York. You will lead the expansion of central execution capabilities into fixed income markets, leveraging your deep market structure knowledge and quantitative skills. Responsibilities include developing execution algorithms, building transaction cost models, and partnering with portfolio managers. A successful candidate will have 10+ years of relevant experience, strong programming abilities, and expertise in fixed income data assets and execution processes. Competitive compensation and growth opportunities available.

Qualifications

• 10+ years of relevant experience in fixed income electronic trading, execution, or quantitative research on the buy side or sell side.
• Hands-on experience building execution infrastructure for institutional fixed income.
• Experience building TCA or cost models for fixed income instruments.

Responsibilities

• Assess existing fixed income data assets and design a coherent real-time and historical data layer.
• Identify and size near-term opportunities in execution quality improvement and transaction cost reduction.
• Design, build, and operate internal execution algorithms for fixed income liquidity spectrum.

Skills

Fixed income electronic trading

Execution infrastructure

Programming skills

Quantitative analysis

Data pipelines

Education

Degree in Mathematics, Computer Science, Engineering, Physics, or a related field

Tools

FIX protocol

Market data APIs

Job description

The Electronic Trading Solutions team is responsible for execution across a wide range of products and geographies. Working with portfolio managers, central trading, and technology, the team builds scalable, automated trading processes and provides execution analytics and market structure expertise. We are seeking a Senior Execution Quantitative Analyst to lead the expansion of our central execution capabilities into fixed income markets, covering corporate credit (IG/HY), Treasuries (cash and futures), and interest rate swaps. This is a hands‑on role requiring deep fixed income market structure knowledge combined with strong quantitative and software development skills. The candidate will be expected to assess the firm’s existing data and workflow landscape, identify and size near‑term P & L opportunities, and lead the build‑out of execution and analysis infrastructure.

Principal Responsibilities

• Assess the firm’s existing fixed income data assets (dealer axes, evaluated pricing, TRACE prints, swap SDR data, futures market data) and design a coherent real‑time and historical data layer to support execution and analysis
• Identify and size near‑term opportunities in execution quality improvement, transaction cost reduction, and flow internalization across credit, rates, and swaps
• Design, build, and operate internal execution algorithms covering the full fixed income liquidity spectrum— from liquid on‑the‑run Treasuries to illiquid corporate bonds—using RFQ, click‑to‑trade, and direct connectivity workflows
• Build transaction cost analysis and pre‑trade cost models for fixed income instruments
• Partner with portfolio managers and traders to understand flow characteristics and communicate execution analytics clearly
• Recruit and mentor junior quants and engineers as the platform scales

Qualifications / Skills Required

• 10+ years of relevant experience in fixed income electronic trading, execution, or quantitative research on the buy side or sell side
• Hands‑on experience building execution infrastructure for institutional fixed income: RFQ and/or click‑to‑trade workflows, FIX protocol connectivity, and integration with major electronic venues
• Experience building TCA or cost models for fixed income instruments, including illiquid and sparsely traded securities
• Strong programming skills; experience with data pipelines and market data APIs
• Solid quantitative background; degree in Mathematics, Computer Science, Engineering, Physics, or a related field
• Demonstrated ability to translate data analysis into actionable P & L estimates and communicate findings to non‑technical stakeholders
• Experience as a hands‑on development lead, with a track record of taking projects from inception to production