Quant Analyst

This position is for a Quant Analyst within Acadia Quantitative Services, a business unit of LSEG’s Post Trade Solutions division. The role involves continuous development and client support for Acadia’s pricing and risk analytics libraries, applications, and hosted risk management services. The successful applicant will contribute to the development of financial instruments, pricing/risk models, and the extension of Python language bindings for the analytics software, working within a global quantitative team.

Must Have

• Master’s degree in Computer Science, Mathematics, Quantitative Finance, Physics, Engineering, or a related discipline.
• 2+ years of full-time or internship/apprenticeship experience in quantitative development or financial engineering.
• Proven track record in developing complex pricing and risk models for OTC derivatives.
• Proficiency in C++ and Python development.
• Deep knowledge of financial markets across Rates, FX, Equity, Credit, Fixed Income, and Inflation.
• Extend ORE libraries for OTC derivatives across six asset classes, including hybrids and exotics.
• Enhance Python bindings for ORE, including packaging and publishing the ORE Python module.
• Collaborate with global market data, development, and service operations teams to resolve production issues and design analytics extensions.
• Collaborate with Expert Services consulting teams to deliver quantitative pricing and risk management solutions.

Good to Have

• Experience with QuantLib and ORE

Perks & Benefits

• Annual Wellness Allowance
• Paid time-off
• Medical
• Dental
• Vision
• Flex Spending & Health Savings Options
• Prescription Drug plan
• 401(K) Savings Plan and Company match
• Basic life insurance
• Disability benefits
• Emergency backup dependent care
• Adoption assistance
• Commuter assistance
• Paid volunteering days
• Wellbeing initiatives

The successful applicant will be a member of the Quantitative Services team, which pursues the continuous development of and client support for Acadia’s pricing and risk analytics libraries, applications and hosted risk management services. The analytics software is based on ORE (Open Source Risk Engine, opensourcerisk.org) and QuantLib (quantlib.org). The software is largely written in C++ with a growing set of Python language bindings. The analytics are used in several ways: as the core component of Acadia’s hosted risk services (ISDA SIMM backtesting and benchmarking, CRIF generation for ISDA SIMM calculation, valuations, regulatory capital calculation, etc.), as “out of the box” software deployed on client premises, as well as the foundation for model validation and tailored client solutions implemented by the Expert Services consulting team. The successful applicant will contribute to the development of additional financial instruments and related pricing/risk models that continuously occur during the onboarding of new clients to Acadia's services, the implementation of additional analytics types such as counterparty credit risk, market risk, or portfolio optimization analytics, and the continuous extension of the Python language bindings of the libraries.

The applicant will be part of a global quant team and expected to work closely with colleagues across the US, Ireland, UK, Germany, and Philippines.

Role Responsibilities

• Extension of the ORE libraries across all OTC derivatives in six asset classes (Interest Rates, Foreign Exchange, Inflation, Equity, Credit, Commodity), including hybrids and exotics.
• Enhance the Python bindings for ORE, including packaging and publishing of the ORE Python module (Python “wheels”).
• Collaborate with global market data, development, and service operations teams to resolve production issues, analyze new requirements, and design analytics extensions.
• Collaborate with Expert Services consulting teams to deliver quantitative pricing and risk management solutions based on clients' requirements.

Experience and Qualifications Required

• Master’s degree in computer science, Mathematics, Quantitative Finance, Physics, Engineering, or a related discipline.
• 2+ years of full-time and/or internship/apprenticeship work experience in quantitative development or financial engineering roles.
• Proven track record in developing complex pricing and risk models for OTC derivatives
• Proficiency in C++ and Python development; experience with QuantLib and ORE is also preferred.
• Deep knowledge of financial markets across Rates, FX, Equity, Credit, Fixed Income, and Inflation.
• Strong analytical mindset, with the ability to work independently and collaboratively across a distributed international team.

Career Stage:

Senior Associate

Compensation/Benefits Information:

LSEG is committed to offering competitive Compensation and Benefits. The anticipated base salary for this position is $109,800 - $183,000.

Please be aware base salary ranges may vary by geographic location, city and state. In addition to our offered base salary, this role is eligible for our Annual Incentive Plan (AIP/”bonus plan”). Target AIP rates will be commensurate with role level and posted career stage. Individual salary will be reflective of job related knowledge, skills and equivalent experience. LSEG roles (excluding internships and part-time roles of less than 20 hours per week) are typically eligible for inclusion in our LSEG Benefits program, which includes offerings of: Annual Wellness Allowance, Paid time-off, Medical, Dental, Vision, Flex Spending & Health Savings Options, Prescription Drug plan, 401(K) Savings Plan and Company match. LSEG’s Benefits plan also includes basic life insurance, disability benefits, emergency backup dependent care, adoption assistance commuter assistance etc.