Location
Paternoster Square, London

Hours
Full Time

Salary
Negotiable

About the Role
You will be a key member of the Applied Solutions & Production (ASP) team, an in-house technical group within Evaluated Pricing Operations (EPO) that spans the US, Costa Rica, and Poland. The ASP team designs, develops, and supports critical tools used by the fixed income evaluations staff, which are integrated into the daily production process. Your role is vital to ensuring these tools are scalable, robust, and that any errors in production pricing processes are resolved quickly to prevent negative client impacts.

In addition to supporting production tools, you will collaborate with subject matter experts to research and develop new pricing algorithms, validate pricing accuracy using standard statistical models and advanced AI systems, and contribute to the evolution of fixed income pricing technology.

As a senior associate, you will also mentor junior talent, participate in strategic planning for large projects and vendor partnerships, and help shape the future of fixed income pricing at London Stock Exchange Group.

Experience
- Minimum 3 years of professional experience in software design and support, including self QA & testing, code review, documentation, training, and operational support
- 3+ years of experience in quantitative finance research and development
- Proficiency in Python (preferred) and other programming languages
- 3+ years working knowledge of relational databases and SQL
- Competitive candidates will have 3+ years experience with fixed income securitization and pricing methodologies and knowledge of LLMs and traditional machine learning algorithms

About you
Detail-oriented and collaborative, you thrive in a dynamic environment where innovation and quality are valued. You are eager to contribute to a creative culture, mentor junior colleagues, and engage in strategic discussions. You have a strong understanding of fixed income pricing workflows and a passion for developing scalable, robust technical solutions.

Qualifications
Relevant degree or equivalent experience in quantitative finance, computer science, mathematics, or related fields is expected. Demonstrated expertise in software development and quantitative research within financial services is essential.