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LSEG (London Stock Exchange Group) in New York is seeking a Senior Associate to develop analytics and machine learning models for fixed-income securities. The role demands a strong background in quantitative finance and proficiency in Python and SQL.
The ideal candidate will have a Master’s degree in a relevant field and 3-5 years of experience. This position offers a competitive salary and benefits including a wellness allowance and 401(k) with company match.
LSEG Evaluated Pricing Service is an independent, global evaluated pricing source covering over 3 million fixed‑income securities and derivatives.
Coverage spans all major financial markets with prices available multiple times daily. Our detailed evaluations support asset managers, custodian banks, mutual funds, investment banks, accounting firms, and research providers.
Our team of over 130 fixed‑income professionals operates in ten locations including New York, London, Paris, Tokyo, Singapore, Sydney, Bangalore, Mumbai, Gdynia, and Costa Rica.
TensorFlow, Visual Studio, Python, SQL.
Senior Associate
LSEG offers a competitive base salary of $125,100‑$208,500. Base salary may vary by location. The role is eligible for an Annual Incentive Plan (AIP). Benefits include a wellness allowance, paid time off, medical, dental, vision, flex‑spending and health‑savings options, prescription‑drug plan, 401(k) with company match, basic life insurance, disability and emergency backup dependent care, adoption assistance, and commuter assistance.
We are a leading global financial markets infrastructure and data provider dedicated to driving financial stability, empowering economies and enabling customers to create sustainable growth.
We are proud to be an equal‑opportunities employer. We do not discriminate on race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other protected basis. We accommodate religious practices and mental‑health or physical‑disability needs where applicable.