Posted by
Omair Langah
Recruitment & Resource Partner
Job: Front Office Quant Developer
Location: London – Hybrid Working
Full Time Employment – Contract (Long-term Engagement)
Inside IR35

OVERVIEW

We are seeking a Front Office Quant Developer with strong Python and C++ programming skills to join a dynamic trading environment. The ideal candidate will work closely with traders and quants to develop and enhance pricing, risk, and trading models.

KEY REQUIREMENTS:

• 2-5+ years of experience as a Quant Developer in a Front Office environment.
• Strong proficiency in Python and C++ for financial model development.
• Experience with derivatives pricing, risk modelling, and quantitative finance.
• Knowledge of market data, financial instruments, and Front Office workflows.
  This role offers a unique opportunity to work directly with traders and impact real-time decision-making in a fast-paced environment.

WHO WE ARE

Quanteam Group is a Consulting firm specialized in the Capital Markets industry, in Paris, London, Krakow, Brussels, New York and North Africa.
Since 2007, our 800 consultants provide major clients (Corporate & Investment Banks, Asset Managers, Hedge Funds, Brokers and Insurance Companies) with expertise in several projects such as Financial Engineering, Quantitative Research, Regulatory Implementation, IT Transformation & Innovation.

The firm mainly takes part in:

• Business consulting: Quantitative research, Risk management (e.g. Market risk, credit risk, counterparty risk), Banking regulations (e.g. Basel III, Solvency II, FATCA, EMIR, MiFID), Pricing & Valuation, Organizational Transformation & Process Improvement.
• IT & Information systems consulting: Business Analysis, Project Management, Change management, Front Office Support (functional and technical), Development (e.g C++, Python, C#, Java, VBA), Financial Software (e.g. Sophis, Murex, Summit, Calypso), IT Transformation & Innovation.

As part of Quanteam Group, Quanteam UK & PL has today more than 80 consultants, working for major Capital Markets institutions in London and Krakow.

• Develop and optimize pricing, risk, and trading models in Python and C++.
• Collaborate with Front Office teams to implement and refine quantitative tools.
• Enhance and maintain high-performance model libraries for real-time trading.
• Support automation and optimization of Front Office processes.