Goldman Sachs
The Core Engineering- Quantitative Engineer -Associate / Vice President - London
- Compensation
- Not disclosed
- Location
- London, Greater London, England, United Kingdom
- Work setup
- Not specified
- Seniority
- C level
- Employment
- Not specified
- Experience
- Not specified
- Category
- Not specified
- Posted
Skills
Must have
- At Goldman Sachs, we think who you are makes you better at what you do. We seek out people with excellent quantitative and communication skills. Here are some of the qualities we look for:
- • Excellent academic background in a quantitative field such as mathematics, physics, statistics, economics, engineering, or computer science, with a preference for Masters and PhDs.
- • Strong programming skills in an object-oriented or functional paradigm such as Python, C++, or Java.
- • Proven experience in a quantitative finance role, with a strong focus on ALM, funding modelling, behavioural modelling, or balance sheet management.
- • Solid understanding of fixed income instruments, interest rate derivatives, curve construction methodologies, pricing/hedging strategies and their application to balance sheet risk management.
- • Deep understanding of statistical and econometric modelling techniques (e.g., regression analysis, time-series forecasting, survival analysis) applied to financial products. Experience using AI-base
- • Excellent written, verbal, and team-oriented communication skills, with the ability to explain complex quantitative concepts to non-technical stakeholders.
- • A self-starter with the ability to work independently as well as thrive in a collaborative, global team environment.
- About Goldman Sachs
- At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securitie
- We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more:
- The Goldman Sachs Group, Inc., 2026. All rights reserved.
- Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic prot
Full description
About Corporate Treasury
Corporate Treasury manages the firm’s liquidity, funding, balance sheet and capital to maximize net interest income and return on equity through liability planning and execution, financial resource allocation, asset liability management, and liquidity portfolio management. The division is run by the Global Treasurer and works closely with the CFO, each of the firm’s businesses, Controllers, Operations, and Investor Relations among other groups at the firm. The division is ideal for collaborative individuals with strong quantitative analysis skills, interest in portfolio & liquidity management and risk management mind set.
Job Responsibilities
- Design, implement, and maintain quantitative models, tools, and frameworks for Asset Liability Management (ALM) including Net Interest Margin (NIM) forecasting, Earnings-at-Risk (EaR), and funding cost projections to optimize resources
- Develop stress and scenario analysis frameworks across portfolios, products, and legal entities to assess performance under a range of market scenarios identifying and quantifying key risk exposures, concentration risks, convexity effects, and potential vulnerabilities.
- Develop and enhancing behavioural models for deposits and other channels, such as non-maturity deposit modelling, deposit beta estimation, repricing lags, and volume flow projections under different macro scenarios and interest rate environments.
- Establish rigorous backtesting, model performance monitoring, and data quality frameworks to continuously evaluate model accuracy, identify potential drift, and refine behavioural and forecasting assumptions.
- Develop and uplift models to reflect evolving business needs, maintain model documentation and implementation, and support regulatory inquiries and second-line model validation.
- Deliver clear presentations and explanations related to balance sheet management for discussion with senior managers, committees, and key stakeholders.
Qualifications
At Goldman Sachs, we think who you are makes you better at what you do. We seek out people with excellent quantitative and communication skills. Here are some of the qualities we look for:
- Excellent academic background in a quantitative field such as mathematics, physics, statistics, economics, engineering, or computer science, with a preference for Masters and PhDs.
- Strong programming skills in an object-oriented or functional paradigm such as Python, C++, or Java.
- Proven experience in a quantitative finance role, with a strong focus on ALM, funding modelling, behavioural modelling, or balance sheet management.
- Solid understanding of fixed income instruments, interest rate derivatives, curve construction methodologies, pricing/hedging strategies and their application to balance sheet risk management.