Global Banking & Markets, Flow Rates Strats, Analyst, London

Goldman Sachs, Inc.; City of Westminster; On-site; GBP 40,000 - 60,000; Full time

Job summary

A global investment banking firm in the City of Westminster seeks an Analyst to develop derivatives pricing models and collaborate with traders. Candidates should hold a degree in a quantitative field and have programming experience. This role offers opportunities for professional and personal growth in a diverse environment.

Qualifications

• Excellent academic record in Finance, Mathematics, Computer Science, Physics, or Engineering.
• Experience in object-oriented programming.
• Recent graduate or up to 4 years of experience in finance or tech.

Responsibilities

• Develop and maintain derivatives pricing models.
• Build algorithms for automated pricing of derivatives.
• Collaborate with engineering teams on software development.

Skills

Programming in Python

Programming in C++

Programming in Java

Mathematical modeling

Analytical problem-solving

Education

Relevant quantitative field degree

Job description

Job Category: Analyst

Job Description:

YOUR IMPACT

You'll be part of a diverse and talented team, applying your advanced scientific training to solve new and exciting problems for the Flow Rates business.

OUR IMPACT

Quantitative strategists are at the cutting edge of our business, solving real-world problems through a variety of analytical methods. Working in close collaboration with traders and salespeople, their invaluable quantitative perspectives on complex financial and technical challenges power our business decisions.

Within the Flow Rates business, our team is responsible for utilising modern and sophisticated quantitative techniques to enhance and further develop our derivatives market making capabilities. This includes traditional derivatives pricing and modelling, as well as automation of our quoting, hedging and risk management activities.

HOW YOU WILL FULFILL YOUR POTENTIAL

1. Develop and maintain derivatives pricing models across multiple products used on the desks, with a focus on developing, understanding, and evolving cutting-edge curves modeling the ever-changing market conditions.
2. Build algorithms and models for automated pricing and quoting of derivatives.
3. Expand the scope of our automated pricing capabilities to new underliers/payoffs, solving unique challenges along the way.
4. Be involved with all stages of the software development life cycle, collaborating closely with engineering teams supporting the underlying infrastructure and frameworks.

Qualifications

• Excellent academic record in a relevant quantitative field such as Finance, Mathematics, Computer Science, Physics, or Engineering.
• Experience in object-oriented programming with languages such as Python, C++, Java, or Scala.
• Recent graduate or up to 4 years of experience in finance or a cutting-edge technology company.
• Excellent written and verbal communication skills.

ABOUT GOLDMAN SACHS

At Goldman Sachs, we commit our people, capital, and ideas to help our clients, shareholders, and communities grow. Founded in 1869, we are a leading global investment banking, securities, and investment management firm headquartered in New York, with offices worldwide.

We believe who you are makes you better at what you do. We are dedicated to fostering diversity and inclusion, providing opportunities for professional and personal growth through training, development, and various programs.

Learn more about our culture, benefits, and people at GS.com/careers.

We are committed to reasonable accommodations for candidates with disabilities during our recruiting process. Learn more at disability statement.

Goldman Sachs is an equal opportunity employer and does not discriminate based on race, color, religion, sex, national origin, age, veteran status, disability, or other protected characteristics.