Quantitative Developer

Job Title: Quant Developer (Contract)

Location: London City (2 to 3 days per week onsite, client-facing)

Rate: Up to £700 - £800 per day

Contract Type: Consultancy contract working with an Investment Banking end client

Start: ASAP (flexible)

Duration: 12 months

Overview

A leading consultancy is hiring an experienced FICC Quant Developer to support an Investment Banking client in the City of London. This is a hands-on, front-office aligned role focused on building and enhancing fixed income pricing, valuation, and risk analytics models used by trading and investment teams.

You will work directly with traders and senior technologists to deliver robust quant solutions, improve model performance, and support key trading decisions. This role suits someone who enjoys deep technical work and can translate complex quantitative research into production-grade Python implementations.

What you’ll be doing

• Build, validate, and enhance fixed income pricing, valuation, and analytics models.
• Implement advanced quantitative techniques including:
• Monte Carlo simulations
• Stochastic Differential Equation (SDE) based models
• XVA calculations (CVA/FVA/etc.)
• Deploy models onto client calculation platforms with strong data quality controls and validation rules.
• Partner with trading desks and technology teams to gather requirements and translate business needs into technical solutions.
• Deliver back testing, model validation, and performance analysis to ensure accuracy and robustness.
• Provide ad hoc analysis including scenario modelling, stress testing, and rapid tool development for urgent desk requests.
• Support continuous improvement by tracking market trends, regulatory changes, and new quantitative methods.

Key deliverables

• Production-ready Python implementations of fixed income models and analytics.
• Documented model assumptions, limitations, and validation results.
• Tools and enhancements that improve desk efficiency, pricing accuracy, and risk reporting.

Required experience

• 8+ years’ experience in quantitative development / quantitative modelling.
• Strong Fixed Income domain knowledge, including pricing, valuation, and risk analytics.
• Proven front-office or trading desk engagement experience.
• Strong track record delivering quant models into production environments.

Technical skills (must-have)

• Advanced Python development for quant modelling (preferred).
• Strong knowledge of fixed income modelling techniques including:
• Monte Carlo
• SDEs
• Stochastic modelling approaches
• Strong understanding of model validation, back testing, and performance analysis.
• Strong econometrics / statistics.
• Experience working with large datasets, data quality checks, and robust validation logic.
• Excel/VBA skills (advanced).

Nice to have

• C# or C++ experience in quant development environments.
• Familiarity with Bloomberg or other market data providers.
• Database experience (SQL, data pipelines, or model data stores).
• ML/DL experience applied to market data, forecasting, calibration, or analytics.

Education

• Postgraduate degree (MSc/PhD preferred) in:
• Financial Engineering
• Mathematics
• Physics
• Economics
• or a closely related quantitative discipline

Behavioural competencies

• Strong communication skills, you will work directly with traders and senior stakeholders.
• Comfortable operating in a fast-paced front-office environment.
• High ownership, independence, and attention to detail.
• Strong problem-solving mindset with the ability to work across multiple priorities.

What makes this role different

• You will be reading PhD-level quantitative research papers and implementing the models in Python.
• You will work closely with traders to validate assumptions and ensure models are accurate, complete, and usable in real trading conditions.
• High-impact work, your outputs directly influence pricing, analytics, and trading decisions.

Please apply if this sounds like you for more information.