Quantitative Strategist, Resource Management - Associate - Global Banking & Markets - London

NCAA (National Collegiate Athletic Association); London; On-site; GBP 100,000 - 125,000; Full time

Job summary

An established industry player is seeking a talented individual to join their Resource Management team. In this role, you'll leverage your quantitative skills to develop models that optimize collateral and capital management. The position offers a unique opportunity to work closely with traders, enhancing their ability to price trades accurately while navigating a dynamic environment. If you're passionate about solving complex problems and eager to make a significant impact in the financial sector, this is the perfect opportunity for you. Join a team where your contributions can shape the future of finance and technology.

Qualifications

• Strong academic background in a relevant STEM field.
• 2-5 years of work experience in related areas.

Responsibilities

• Develop large scale systems and optimization models.
• Work directly with traders to build pricing tools.

Skills

Quantitative Problem Solving

Programming (Java, C++, Python)

Analytical Skills

Interpersonal Communication

Attention to Detail

Education

STEM Degree (Computer Science, Engineering, Physics, Mathematics)

Job description

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:

• 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

Preferred Qualifications:

• Knowledge and understanding of financial markets, financial modeling, a quantitative understanding of probability