Senior Quantitative Analyst, Global Quantitative Research

Intercontinental Exchange Holdings, Inc.; London; On-site; GBP 60,000 - 100,000; Full time

Job summary

An established industry player is seeking a talented quantitative analyst to join their Global Quantitative Research Group. In this role, you will drive the development of cutting-edge quantitative models and support various business lines, including clearing houses and data services. The ideal candidate will possess strong quantitative skills, a passion for problem-solving, and the ability to communicate complex concepts effectively. Working in a collaborative environment, you will engage with diverse teams and have direct exposure to derivatives pricing and risk management. This is a fantastic opportunity to contribute to innovative projects in a dynamic financial setting.

Qualifications

• 2+ years in quantitative finance with model design experience.
• Strong programming skills in Python and SQL required.

Responsibilities

• Drive margin and collateral management models R&D.
• Develop risk solutions across all asset classes.
• Document and present risk models to stakeholders.

Skills

Quantitative Analysis

Statistical Knowledge

Python Programming

SQL

C++

Problem-Solving

Communication Skills

Education

PhD in Physics

MSc in Mathematics

Degree in Quantitative Finance

Degree in Statistics

Tools

Quantitative R&D Platform

Analytics Tools

Job description

Job Description

Job Purpose

The selected candidate will join the Global Quantitative Research Group at ICE which designs, implements, and supports enterprise quantitative models and systems. The primary responsibility of this position will be to drive all quantitative model related items in the Clearing Houses while supporting other business lines at ICE (Exchange, Data Services, etc.). Within the Global Quantitative Research Group, this role sits at the intersection of data, analytics, and model development. This job requires strong quantitative skills, a passion to see projects succeed and a strong attention to detail. It also requires programming skills as well as mathematical knowledge. This role will interact with various teams of different backgrounds and expertise, so the ability to communicate clearly and concisely is a must. This role will have direct exposure to interest rate derivatives, equity derivatives, credit derivatives and commodity derivatives. A strong background in programming, derivatives pricing and theory is preferred.

Responsibilities

• Drive clearing house margin, stress and collateral management models R&D.
• Define business requirements and specifications for model upgrades and enhancements.
• Perform risk analysis and develop risk solutions for various products across all asset classes.
• Develop and support in-house quantitative R&D platform and analytics tools
• Contribute strongly to “hands-on” and ad-hoc requests for development and solutions in time-critical situations.
• Document and present risk models and risk reports for clearing members, regulators, risk committees and boards.
• Interact with risk departments to provide support for existing clearing house quantitative models.
• Interact with technology groups for production implementation design.

Knowledge and Experience

• PhD or MSc in Physics, Mathematics, Quantitative Finance, Statistics, or a relevant scientific field.
• 2+ years of work experience in quantitative finance fields from financial institutions, with proven record designing or implementing quantitative finance models.
• Excellent quantitative, analytical and problem-solving skills with solid knowledge of statistics.
• Working knowledge in Python and SQL required. Experience with C++ and object-oriented programming preferred.
• Capable of working under pressure within a diverse team to accommodate tight deadlines.
• Great attention to detail with ability to work independently and as part of a team.
• Excellent oral and written communication skills. Capable to articulate complex concepts to senior management on a regular basis.
• Strong mathematical knowledge of financial derivatives pricing and risk management models preferred.