Senior Quant Analyst, Quantitative Developer

LSEG (London Stock Exchange Group); New York (NY); On-site; USD 125,100 - 208,500; Full time

Benefits offered by this job

Annual Wellness Allowance

401(k) Savings Plan with company match

Paid time-off

Medical, Dental, and Vision Insurance

Job summary

LSEG (London Stock Exchange Group) in New York is seeking a skilled developer to design and maintain quantitative data processing pipelines. The candidate will work with large-scale financial datasets and collaborate closely with quantitative analysts and data scientists.

This role requires strong Python skills and familiarity with cloud environments such as AWS and Azure. The anticipated base salary ranges from $125,100 to $208,500, plus benefits like wellness allowance and 401(k) match.

Qualifications

• Strong working knowledge of Python programming language is required.
• Experience with data wrangling and creating data pipelines in Python is strongly desired.
• Familiarity with cloud-based platforms like AWS, Azure, Databricks and Snowflake is a plus.

Responsibilities

• Design, develop, and maintain quantitative data processing pipelines.
• Build and optimize data workflows for large-scale financial datasets.
• Collaborate closely with quantitative analysts and data scientists.

Skills

Python programming

Data wrangling

Data pipeline creation

Algorithms

Linux

PySpark

ETL technologies

Machine Learning

Cloud platforms (AWS, Azure)

Finance knowledge

Education

Technical degree in Physics, Computer Science, Engineering, Statistics or Mathematics

Job description

Key Responsibilities

• Design, develop, and maintain quantitative data processing pipelines to support research, analytics, and production environments. Commit to support and improvement of existing implementations.
• Build and optimize data workflows for large‑scale financial datasets, ensuring efficiency, scalability, and data integrity across ingestion, transformation, and delivery layers. Understand data flows that support quant models.
• Work within AWS and Azure cloud environments, leveraging services such as S3, Lambda, EC2, Databricks, and Azure Data Factory to support distributed computation and automation.
• Collaborate closely with quantitative analysts, data scientists, and business stakeholders to translate modeling requirements into robust, production‑ready systems.
• Implement best practices for code versioning, testing, and CI/CD, ensuring maintainable and reproducible quantitative infrastructure.
• Monitor and troubleshoot pipeline performance, proactively addressing bottlenecks and optimizing for speed, cost, and reliability.
• Continuously acquire new technical skills—including modern data frameworks, cloud tools, and programming techniques—to enhance the team's analytical capabilities.
• Engage in active learning of the business domain, developing a deep understanding of financial products, market data, and risk factors to better align technical solutions with analytical needs.
• Contribute to documentation, peer reviews, and knowledge sharing to support continuous improvement within the quantitative development team.

Key Behaviours

• Integrity: Has the sustained drive and energy to deliver support service to time and quality.
• Innovation and Partnership: Open to and willingly adopts new processes/approaches/ways of working; seeks information/inputs from colleagues/clients; deals with conflict successfully.
• Excellence: Willingly puts in the effort to ensure activities completed on time and to the quality required; pro‑active and demonstrates initiative; prioritises activities according to business and operational need; uses analysis and problem‑solving skills; analyses issues to identify the most appropriate solutions; utilises all available resources and toolsets to investigate and resolve problems.

Candidate Profile / Key Skills

• Strong working knowledge of Python programming language is required.
• Experience with data wrangling and creating data pipelines in Python is strongly desired.
• Familiarity with programming, computing and searching algorithms is a plus.
• Familiarity with Linux environment is a plus.
• Familiarity with PySpark applications is a plus.
• Familiarity with ETL technologies a plus.
• Familiarity with ML and AI technologies and their applications is a plus.
• Technical degree in a field such as Physics, Computer Science, Engineering, Statistics or Mathematics preferred.
• Familiarity with cloud‑based platform like AWS, Azure, Databricks and Snowflake is a plus.
• Strong leadership skills, desire, and ability to innovate.
• Familiarity with finance and fixed income a plus.

Compensation & Benefits

LSEG is committed to offering competitive Compensation and Benefits. The anticipated base salary for this position is $125,100 – $208,500, varying by geographic location. The role is eligible for an Annual Incentive Plan. Benefits include Annual Wellness Allowance, Paid time‑off, Medical, Dental, Vision, Flex Spending & Health Savings Options, Prescription Drug plan, 401(k) Savings Plan with company match, basic life insurance, disability benefits, emergency backup dependent care, adoption assistance, commuter assistance, and more.

We are proud to be an equal‑opportunities employer. This means that we do not discriminate on the basis of anyone's race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.