Associate, Counterparty Credit Risk Strat - London

TN United Kingdom; London; On-site; GBP 60,000 - 100,000; Full time

Job summary

An established industry player in financial services is seeking a talented Associate for Counterparty Credit Risk Strat in London. This role offers a unique opportunity to engage with complex quantitative challenges, including derivatives modeling and Monte Carlo simulations. You will design and implement methodologies to assess model performance, communicate intricate mathematical concepts to stakeholders, and lead discussions on model suitability. Join a dynamic team and contribute to key initiatives while gaining exposure to diverse financial products in a collaborative environment. If you are passionate about risk engineering and quantitative analysis, this is the perfect opportunity for you.

Qualifications

• PhD in a quantitative field preferred; relevant experience may suffice.
• Strong command of mathematics and modeling techniques.

Responsibilities

• Design methodologies to identify model limitations across financial products.
• Implement models in production using object-oriented programming languages.

Skills

Mathematics

Modeling

Numerical Algorithms

Statistical Methods

Problem-Solving

Communication Skills

Education

PhD in Mathematics

PhD in Statistics

PhD in Physics

Tools

Advanced Software

Computational Tools

Job description

Social network you want to login/join with:

Associate, Counterparty Credit Risk Strat - London, London

Client:

Location: London, United Kingdom

Job Category: Finance

EU work permit required: Yes

Job Reference:

0c12ff7b5a6e

Job Views:

3

Posted:

05.05.2025

Expiry Date:

19.06.2025

Job Description:

Risk

The Goldman Sachs Group, Inc. is a leading global financial services firm providing investment banking, securities, and investment management services to a substantial and diversified client base that includes corporations, financial institutions, governments, and high-net-worth individuals. Founded in 1869, the firm is headquartered in New York and maintains offices in London, Frankfurt, Tokyo, Hong Kong, Bengaluru, and other major financial centers around the world.

We are seeking candidates for Risk Architecture Counterparty Credit Risk Strats – Risk Engineering in London.

Risk Engineering (“RE”), which is part of the Risk Division, is a central part of Goldman Sachs' risk management framework, responsible for providing robust metrics, data-driven insights, and effective technologies for risk management. RE is staffed globally with offices including Dallas, New York, Salt Lake City, London, Warsaw, Bengaluru, Hyderabad, and Singapore. The Risk Architecture (“RA”) group within RE is a multidisciplinary team of quantitative experts focusing on developing techniques for the quantitative assessment of the performance of market and credit risk models. The group employs advanced data science and statistical techniques to identify risk and capital vulnerabilities due to model limitations.

Responsibilities

• Design and implement methodologies to identify model limitations across various financial products, including testing the appropriateness of model assumptions and conducting sensitivity analysis.
• Implement models in production using sophisticated software and object-oriented programming languages, develop comprehensive software code to execute models, design tests to ensure accuracy, and monitor model performance.
• Develop detailed documentation of processes and models, including purpose, specifications, testing procedures, and empirical evidence.
• Communicate complex mathematical ideas effectively with internal and external stakeholders such as regulators, modelers, technology teams, and senior management.
• Lead regulatory engagements concerning counterparty credit risk model performance, including discussions on model performance, measurement approaches, and results.
• Provide supervision and technical guidance to junior risk management professionals and take on leadership roles in department initiatives.
• Recruit and train new members of the Risk Architecture team.

How you will fulfill your potential

• Gain broad exposure to pricing, calibration, risk, and capital models for various financial products.
• Work on challenging quantitative problems such as derivatives modeling and large-scale Monte Carlo simulations of complex portfolios.
• Collaborate closely with leadership and other groups to advance high-priority initiatives.
• Engage in a dynamic team environment.

Qualifications

• Advanced degree (PhD preferred) in Mathematics, Statistics, Physics, or a related quantitative field.
• Relevant technical work experience with a relevant degree will also be considered. Excellent command of mathematics, modeling, and numerical algorithms required.
• Experience in counterparty credit risk backtesting within a regulated financial institution.
• Deep knowledge of advanced probability and statistical methods, including stochastic processes.
• Strong written and verbal communication skills.
• Proven ability to perform analysis and problem-solving using computational tools.