Quantitative Strategist, Resource Management - Associate / VP - Global Banking & Markets - London
Posted 3 days ago by
eFinancialCareers
What We Do
Goldman Sachs' Strats business unit is a world leader in developing quantitative models and technologies to solve complex business problems. Resource Management Strats sits within the firm's Global Banking & Markets Division (GBM) and works directly with sales and trading desks to provide commercial solutions in a wide range of areas.
Your Impact
As a Strat on the Resource Management desk, you'll work across three main areas. First, in conjunction with our GBM Liquidity Management and GBM Cross Asset Funding teams, you'll build models that will allow us to optimize our collateral and margin deployments for maximum efficiency and returns. Second, working with our GBM Capital Management team and every business across the Division to optimize our capital footprint. Third, partnering with our GBM Counterparty Risk Management team to develop models for trading with our clients that ensure prudential thought in client exposures, enabling revenue generation.
Who We Are
At Goldman Sachs, our Engineers don't just make things - we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets.
Engineering, which is comprised of our Technology Division and global Strategists groups, is at the critical center of our business, and our dynamic environment requires innovative strategic thinking and immediate, real solutions. Want to push the limit of digital possibilities? Start here.
Responsibilities
As a member of this team, you will be expected to have an understanding of all the products and derivatives the GBM business trades. You will work on developing large scale systems, building risk, capital and optimization models, and creating data driven prediction models optimization. You will be working directly with traders on building tools enabling them to price trades more precisely and optimize resources.
Who We Look For
An ideal candidate would have strong quantitative and technical problem solving skills, drive to investigate and learn new ideas, and good judgement to deliver quick yet robust solutions.
Basic Qualifications:
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://careers/footer/disability-statement.html
© The Goldman Sachs Group, Inc., 2023. All rights reserved.
Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identit
Goldman Sachs' Strats business unit is a world leader in developing quantitative models and technologies to solve complex business problems. Resource Management Strats sits within the firm's Global Banking & Markets Division (GBM) and works directly with sales and trading desks to provide commercial solutions in a wide range of areas.
Your Impact
As a Strat on the Resource Management desk, you'll work across three main areas. First, in conjunction with our GBM Liquidity Management and GBM Cross Asset Funding teams, you'll build models that will allow us to optimize our collateral and margin deployments for maximum efficiency and returns. Second, working with our GBM Capital Management team and every business across the Division to optimize our capital footprint. Third, partnering with our GBM Counterparty Risk Management team to develop models for trading with our clients that ensure prudential thought in client exposures, enabling revenue generation.
Who We Are
At Goldman Sachs, our Engineers don't just make things - we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets.
Engineering, which is comprised of our Technology Division and global Strategists groups, is at the critical center of our business, and our dynamic environment requires innovative strategic thinking and immediate, real solutions. Want to push the limit of digital possibilities? Start here.
Responsibilities
As a member of this team, you will be expected to have an understanding of all the products and derivatives the GBM business trades. You will work on developing large scale systems, building risk, capital and optimization models, and creating data driven prediction models optimization. You will be working directly with traders on building tools enabling them to price trades more precisely and optimize resources.
Who We Look For
An ideal candidate would have strong quantitative and technical problem solving skills, drive to investigate and learn new ideas, and good judgement to deliver quick yet robust solutions.
Basic Qualifications:
- Strong academic background in a relevant STEM field (Computer Science, Engineering, Physics or Mathematics)
- Strong analytical and programming skills (Java, C++, Python)
- Strong interpersonal/communication skills
- Ability to focus both on details and on the big picture, as requested
- Ability to work in a dynamic and fast- paced environment and deliver accurate results quickly
- Ability to solve problems and to explain underlying ideas
- 2 - 5 years of work experience in related areas
- Knowledge and understanding of financial markets, financial modeling, a quantitative understanding of probability
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://careers/footer/disability-statement.html
© The Goldman Sachs Group, Inc., 2023. All rights reserved.
Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identit
Reference: 53228766
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