Associate/AVP, Quantitative Strategist, Corporate Credit - Loans

GIC is one of the world’s largest sovereign wealth funds. With over 2,000 employees across 11 locations around the world, we invest in more than 40 countries globally across asset classes and businesses. Working at GIC gives you exposure to an extraordinary network of the world’s industry leaders. As a leading global long-term investor, we work at the Point of Impact for Singapore’s financial future, and the communities we invest in worldwide.

 

Fixed Income and Multi Asset
Our team employs a broad range of investment strategies that span macro, credit, and quantitative investing, including multi-asset, benchmark-agnostic, constrained, indexed, and thematic strategies.

 

Corporate Credit and Credit Research & Strategy
Our Portfolio Managers implement investment strategies and generate alpha within global investment-grade bond, high-yield bond, emerging market credit, and corporate loan markets. Our Analysts are responsible for fundamental credit underwriting of corporate issuers in developed and emerging markets across the quality spectrum and in both sector- and company-level research.
 

What impact can you make in this role?
We are seeking a highly skilled and motivated Quantitative Strategist to join our Loans team within the Corporate Credit Group. This role offers the opportunity to work on complex financial products, including Leverage Loans and Collateralized Loan Obligations (CLOs). The ideal candidate will have a strong quantitative background, excellent programming skills, and a deep understanding of structured products and/or corporate credit.

 

We offer a competitive compensation package and the opportunity to work in a dynamic and stimulating environment. If you are a problem solver, have a passion for data and quantitative analysis, and are eager to make an impact, we would love to hear from you.

 

What will you do as a Quantitative Strategist in the Loans Team within Corporate Credit?

• Risk Analysis: Understand the mechanics of structured products and apply this knowledge to model development and risk analysis.

• Quantitative Techniques: Apply advanced mathematical and statistical techniques to solve complex problems and make data-driven decisions.

• Financial Modelling: Develop and maintain financial models in Python, ensuring they accurately represent financial scenarios and risks.

• Data Management: Work with AWS and databases to manage and analyse large datasets.

• Communication: Communicate complex quantitative concepts and solutions effectively to stakeholders, including traders, portfolio managers, and risk managers.

• Collaboration: Collaborate with other teams, including technology, risk management, and trading, to integrate quantitative models into broader business processes.

 

What qualifications or skills should you possess in this role?

• Bachelor’s, or master’s degree in a quantitative field such as Mathematics, Statistics, Physics, Engineering, Computer Science, or a related field.

• 3-5 years of professional expereince, ideally from a reputable sellside or buyside financial instution.

• Strong programming skills in Python, with experience bringing code to production.

• Solid understanding of structured products and their mechanics.

• Strong mathematical and advanced statistical skills.

• Experience in coding financial models in Python.

• Familiarity with AWS and database management.

• Excellent communication skills, with the ability to explain complex concepts to non-technical stakeholders.

 

Other preferred experience:

• Advanced degree in a quantitative field.

• Experience with other programming languages or tools used in quantitative finance.

• Experience in working with Intex Performance and Loan level data.

 

 

Work at the Point of Impact
We need to be forward-looking to attract the right people to help us become the Leading Global L