Quantitative Analyst

Stanford Black Limited; England; On-site; GBP 500,000 - 600,000; Full time

Job summary

A leading global investment platform is seeking a Credit Quantitative Researcher to design and implement analytic models for cross-asset trading. This role requires advanced technical expertise, strong Python programming skills, and prior experience in quantitative research or trading analytics. The position offers competitive compensation and an opportunity to work closely with portfolio managers and a talented team.

Benefits

Market-leading referral scheme

Qualifications

• Advanced degree in a technical field is required.
• Prior experience in quant research or trading analytics.
• Strong programming ability in Python is a must.

Responsibilities

• Build and enhance Python-based pricing and analytics libraries.
• Partner with portfolio managers for alpha signals and model testing.
• Develop research infrastructure and back-testing frameworks.

Skills

Python programming

Quantitative research

Data analysis

Education

Master’s or PhD in Mathematics, Physics, Engineering, or Computer Science

Tools

NumPy

Pandas

SciPy

C++

Job description

Credit Quantitative Researcher – Global Multi-Strategy Hedge Fund (London / New York)

Total Compensation: Circa £500,000 / $600,000 (base + bonus)

A leading global investment platform is building out its central Credit research function — an opportunity to sit at the intersection of quantitative innovation, trading strategy, and technology. Working alongside an experienced Credit PM and a world-class macro and systematic team, you’ll design and implement the next generation of analytic and signal-generation models powering cross‑asset trading.

Responsibilties:

• Build and enhance Python-based pricing, valuation, and analytics libraries spanning cash bonds, CDS, and convertibles.
• Partner directly with portfolio managers to prototype and back‑test alpha signals and relative‑value models in Credit and Credit Derivatives.
• Develop and maintain research infrastructure, simulation environments, and back‑testing frameworks used globally across trading teams.
• Create screeners, data‑driven toolkits, and automation pipelines to streamline trade selection and opportunity discovery.
• Collaborate with quant devs and data engineers to onboard new datasets, integrate vendor models, and optimise real‑time system performance.

Qualifications:

• Advanced degree (Master’s or PhD) in Mathematics, Physics, Engineering, Computer Science, or related technical field.
• Prior experience in a quant research, desk strat, or trading analytics role at a hedge fund or investment bank.
• Strong programming ability in Python (NumPy/Pandas/SciPy); familiarity with C++ or distributed compute frameworks advantageous.
• Experience in model-driven trading, signal research, or building systematic tools within Fixed Income or Credit markets.
• Knowledge of Credit or Convertible Bond products, valuation approaches, and derivatives fundamentals.

Please contact [e-mail] for more information.

If this role isn't right for you, but you know of someone who might be interested, we have a market-leading referral scheme in place to thank anyone who refers a friend who is successfully placed! T&Cs apply.