Goldman Sachs
Corporate Treasury- Liquidity Quantitative Engineer / Strat - Associate - London
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Job Description
CCORPORATE TREASURY
We're a team of specialists charged with managing the firm’s funding, liquidity, capital and relationships with creditors and regulators. Corporate Treasury manages the firm’s financial resources and minimizes interest expense through liability planning, asset liability management, and liquidity portfolio yield enhancement. The division is ideal for collaborative individuals who have strong quantitative analysis skills and risk management capabilities since Treasury actively manages the firm’s financial resources which are constantly changing due to business activity, markets, risk appetite, regulations and other factors.
Liquidity Strats use their programming and mathematical background to identify and measure risk and to implement quantitative and technical risk modelling solutions. Successful Strats are highly analytical, driven to own commercial outcomes, and communicate with precision and clarity. As a part of the team, you will work with our key business partners, understand financial market, to quantify the firm’s risk. You will also focus on developing quantitative models & scalable architecture.
Functionality Description
- Developing risk models and risk sensitivity analysis that use advanced mathematical/statistical/engineering approaches such as optimization, machine learning, regressions, visualization
- Performing detailed analysis on risk trends and drivers
- Updating and maintaining risk models along with business growth and risk environment changes
- Developing and maintaining large scale risk infrastructures/systems using strong programming experience in at least one compiled or scripting language (e.g. C, C++, Java, Python, Scala)
- Experience in designing highly scalable, efficient systems
- Effectively communicating results and outputs from the model and insights from analysis
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Qualifications
- Post graduate degree /Bachelor’s degree in Mathematics, Physics, Electrical Engineering or related technical discipline
- 3+ years experience in software development, including a clear understanding of data structures, algorithms, software design and core programming concepts
- Strong analytical and problem solving skills using math, statistics, and programming
- Demonstrated ability to learn technologies and apply
- Excellent communication skills including experience speaking to technical and business audiences and working globally
- Strong programming experience in at least one compiled or scripting language (e.g. C, C++, Java, Python)
- Experience in designing highly scalable, efficient systems
- Familiarity with financial markets, financial assets and risk management practices is a plus
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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, securities and investment management firm. Headquartered in New York, we maintain offices around the world.
We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers.
We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html
© The Goldman Sachs Group, Inc., 2023. 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 protected by applicable law.
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