Location
London

Hours
Full Time

Salary
Negotiable

About the Role
You and your team, Applied Solutions & Production (ASP), are part of an in-house technical team within Evaluated Pricing Operations (EPO). The team spans the US, Costa Rica, and Poland. As a key member of this small team, you will help shape and build the future of technology for EPO fixed income pricing.

The ASP team designs, develops, and supports various tools used daily by the fixed income evaluations staff of EPO. These tools are fundamental to the production process, and any errors can negatively impact clients if not addressed promptly. Therefore, the tools and software must be scalable and robust, and you must fully understand the workflows to resolve errors in real-time.

The team also supports subject matter experts in research to develop new pricing algorithms and validate pricing accuracy using standard statistical models and cutting-edge AI systems.

Daily tasks include designing and implementing pricing tools, working with primary pricing tools and secondary tools such as data parsers, automated QA reports, and research tools. You will conduct research and development for pricing algorithms alongside asset class experts and participate in model lifecycle maintenance adhering to best practices. Additionally, you will develop junior talent through mentoring, shadowing, and code reviews, and contribute to strategic planning discussions for large projects and vendor partnerships.

Join London Stock Exchange Group and be part of a team that values innovation, quality, and continuous improvement. LSEG is a leading global financial markets infrastructure and data provider, committed to driving financial stability, empowering economies, and enabling sustainable growth. You will work within a dynamic organisation of 25,000 people across 65 countries, where individuality is valued and diversity is embraced. LSEG is proud to be an equal opportunities employer, committed to accommodating religious practices, mental health, and physical disability needs.

Working with us means being part of a collaborative and creative culture that encourages new ideas and sustainability. Our charity, the LSEG Foundation, supports community groups to help people access economic opportunities and build financial independence. Colleagues can participate through fundraising and volunteering. LSEG offers tailored benefits including healthcare, retirement planning, paid volunteering days, and wellbeing initiatives.

Experience
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.
Fluency with Python (preferred) and other programming languages.
3+ years working knowledge of relational databases and SQL.

About you
Strong understanding of fixed income securitization and pricing methodologies (3+ years preferred).
Knowledge of large language models (LLMs) and traditional machine learning algorithms is a competitive advantage.
Ability to work collaboratively in a small, dynamic team.
Committed to quality, innovation, and continuous improvement.
Willingness to mentor and develop junior talent.

Qualifications
Relevant degree or equivalent experience in quantitative finance, computer science, mathematics, or related fields is preferred but not explicitly required.
Demonstrated ability to design and support robust, scalable pricing tools and software.
Strong analytical and problem-solving skills with attention to detail.