Associate/AVP, Quantitative Strategist, Corporate Credit - Loans

GIC Private Limited; New York (NY); Hybrid; USD 130,000 - 220,000; Full time

Job summary

An established industry player is seeking a talented Quantitative Strategist to join their dynamic Loans team. This role involves working on complex financial products, utilizing advanced quantitative techniques and programming skills to drive data-driven decisions. The ideal candidate will thrive in a collaborative environment, communicating complex concepts effectively to diverse stakeholders. With a commitment to professional growth and innovation, this opportunity offers the chance to make a meaningful impact in the world of finance. Join a forward-thinking organization that values diversity and empowers its employees to excel.

Qualifications

• 3-5 years of experience in quantitative finance or related fields.
• Strong programming skills in Python with production experience.

Responsibilities

• Conduct risk analysis and develop financial models in Python.
• Collaborate with teams to integrate quantitative models into business processes.

Skills

Quantitative Analysis

Programming in Python

Statistical Techniques

Risk Analysis

Financial Modelling

Communication Skills

Education

Bachelor's degree in Mathematics

Master's degree in a quantitative field

Tools

AWS

Database Management

Job description

Associate/AVP, Quantitative Strategist, Corporate Credit - Loans

Location: New York, US

Job Function: Fixed Income & Multi Asset

Job Type: Permanent

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.

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

1. Risk Analysis: Understand the mechanics of structured products and apply this knowledge to model development and risk analysis.
2. Quantitative Techniques: Apply advanced mathematical and statistical techniques to solve complex problems and make data-driven decisions.
3. Financial Modelling: Develop and maintain financial models in Python, ensuring they accurately represent financial scenarios and risks.
4. Data Management: Work with AWS and databases to manage and analyse large datasets.
5. Communication: Communicate complex quantitative concepts and solutions effectively to stakeholders, including traders, portfolio managers, and risk managers.
6. 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?

1. Bachelor’s, or master’s degree in a quantitative field such as Mathematics, Statistics, Physics, Engineering, Computer Science, or a related field.
2. 3-5 years of professional experience, ideally from a reputable sell-side or buy-side financial institution.
3. Strong programming skills in Python, with experience bringing code to production.
4. Solid understanding of structured products and their mechanics.
5. Strong mathematical and advanced statistical skills.
6. Experience in coding financial models in Python.
7. Familiarity with AWS and database management.
8. Excellent communication skills, with the ability to explain complex concepts to non-technical stakeholders.

Other preferred experience:

1. Experience with other programming languages or tools used in quantitative finance.
2. 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 Long-term Investor. Join our ambitious, agile, and diverse teams - be empowered to push boundaries and pursue innovative ideas, share your views, and be heard. Be anchored on our PRIME Values: Prudence, Respect, Integrity, Merit and Excellence, which guides us in how we make our day-to-day decisions. We strive to inspire. To make an impact.

Flexibility at GIC
At GIC, our offices are vibrant hubs for ideation, professional growth, and interpersonal connection. At the same time, we believe that flexibility allows us to do our best work and be our best selves. Thus, our teams come into the office four days per week to harness the benefits of in-person collaboration but have the flexibility to choose which days they work from home and adjust this arrangement as situational needs arise.

We are an equal opportunity employer
As an employer, we passionately believe every individual brings with them unique diversity of thought and perspectives to meaningfully enrich perspectives of GIC teams to drive competitive performance. An inclusive environment yields exceptional contribution.

Compensation
Our compensation philosophy reflects several principles. We strive to provide a competitive compensation package to attract and retain talent globally. We pay for performance and reward sustainable results. Total pay for this position comprises base pay and bonus. The anticipated base salary range for this role is between $130,000 and $220,000. Bonuses, which may form a meaningful proportion of the total pay package, are determined based on company and individual performance.

Learn more about our Fixed Income & Multi Asset Department here.