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Quantitative Market Risk Analyst

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Onsite

Quantitative Market Risk Analyst

BTG Pactual

Quantitative Market Risk Analyst

Skills

SQL QueriesPythonNumPypandasAIRisk Management

2 months ago

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Important information


Contract type:

Permanent

Location:

London, UK

Work mode:

Onsite

Published on:

8 September 2026

What they need


Company Background Founded in 1983, BTG Pactual is now the largest investment bank in Latin America. We're committed to a future where investing is dynamic and straightforward, which is why we're undergoing a digitization and expansion process across various fronts. Our entrepreneurial mindset allows us to empathize with our clients and understand their challenges, leading to swift, autonomous, and bureaucracy-free solutions. Renowned for our excellence, flexibility, and versatility, we serve clients from our offices in Brazil, Chile, Colombia, Peru, Mexico, Argentina, the United States, United Kingdom, Portugal, Spain and Luxembourg. For more information visit www.btgpactual.com

Position Overview BTG Pactual London is looking to hire a Quantitative Market Risk Analyst with 1–2 years of experience to join its Risk Management team.

This role is strongly focused on market risk, sitting close to the trading desk, and requires a hybrid profile combining:

  • Quantitative and programming skills
  • Solid understanding of financial markets
  • Working knowledge of pricing and risk of financial products

A key component of the role is the use of AI (notably Claude / LLM-based tools) to enhance and automate risk processes, alongside advanced statistical analysis of market data. This role will offer, direct exposure to front-office market risk, close interaction with traders and senior risk managers, an opportunity to apply AI in a production risk environment and a steep learning curve and clear progression path within Rise.

Responsibilities

  • Monitor and analyse market risk exposures and PnL across trading desks
  • Develop and improve risk tools and controls used in daily risk management
  • Interact closely with traders to understand:
  • Apply statistical and quantitative methods to:
  • Design and deploy AI-driven solutions (Claude / LLMs) to:
  • Contribute to model validation, robustness, and ongoing improvements

Required Qualifications

  • 1–2 years’ experience in Market Risk, Trading Support, Quantitative Analysis, or similar role
  • Good understanding of:
  • Strong quantitative foundation:
  • Strong programming skills in Python (pandas, NumPy, etc.)
  • Interest or experience with AI / LLM tools (e.g. Claude, automation use cases)
  • Ability to operate in a front-office, fast-paced environment

Preferred Knowledge And Experience

  • Familiarity with:

  • Experience working with trading data and risk metrics

  • Knowledge of SQL or data infrastructure

  • Exposure to model validation or risk governance

  • Risk-focused but market-aware: understands how trading activity translates into risk

  • Hybrid mindset: comfortable across quantitative analysis, systems, and market discussions

  • Detail-oriented and intellectually rigorous

  • Strong interest in applying AI to practical risk management problems

BTG's Offer BTG Pactual Is a Global Financial Institution That Retains The Culture, Pace And Agility Of a Young Company. As An Expanding Firm, We Are Committed To Attracting, Developing And Retaining The Very Best Talent, By Offering a Workplace Where Results Are Truly Recognized And Rewarded. We Offer a Fantastic Opportunity For You To Grow Including

  • Professional, international working environment
  • Challenging, rewarding career
  • Collaborative environment

BTG Pactual is dedicated to promoting an inclusive culture and does not discriminate based on race, colour, religion, gender identity, sexual orientation, nationality, disability, or age, reinforcing our commitment to diversity . By submitting this application, I agree to share the information above. Your information will only be used to evaluate the application process and talent database for BTG Pactual and its subsidiaries in accordance with our privacy policy.

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