Senior Quant Analyst, Quantitative Developer
LSEG (London Stock Exchange Group), New York, NY, United States
Role Profile
The role is in the Quantitative Data Research team which sits within Analytics Research Group. This is a senior level quantitative developer role responsible for application development, including the responsibilities for running and refactoring legacy processes as well as coordinating the work of the other developers. This individual will work closely with colleagues within ISD Research and Product Management as well as others with ISD Data Operations, and Technology.
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 optimise 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 modelling 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 optimising 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 and ways of working; seeks information and inputs from colleagues and clients; deals with conflict successfully.
Excellence – willingly puts in the effort to ensure activities are completed on time and to the quality required; pro‑active and demonstrates initiative; prioritises activities according to business and operational needs; possesses analysis and problem‑solving skills; analyses issues to identify 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 is 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.
Career Stage
Senior Associate
Compensation/Benefits
LSEG is committed to offering competitive compensation and benefits. The anticipated base salary for this position is $125,100 - $208,500. Base salary ranges may vary by geographic location, city and state. In addition to the offered base salary, this role is eligible for our Annual Incentive Plan (AIP or bonus plan). Target AIP rates will be commensurate with role level and posted career stage. Individual salary will reflect job‑related knowledge, skills and equivalent experience. LSEG roles are typically eligible for inclusion in the LSEG Benefits program, which includes offerings such as: annual wellness allowance, paid time‑off, medical, dental, vision, flex spending & health savings options, prescription drug plan, 401(K) savings plan and company match. The benefits plan also includes basic life insurance, disability benefits, emergency backup dependent care, adoption assistance, commuter assistance etc.
Equal Opportunities
We are proud to be an equal opportunities employer. We do not discriminate on the basis of 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. We can reasonably accommodate applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs.
#J-18808-Ljbffr
The role is in the Quantitative Data Research team which sits within Analytics Research Group. This is a senior level quantitative developer role responsible for application development, including the responsibilities for running and refactoring legacy processes as well as coordinating the work of the other developers. This individual will work closely with colleagues within ISD Research and Product Management as well as others with ISD Data Operations, and Technology.
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 optimise 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 modelling 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 optimising 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 and ways of working; seeks information and inputs from colleagues and clients; deals with conflict successfully.
Excellence – willingly puts in the effort to ensure activities are completed on time and to the quality required; pro‑active and demonstrates initiative; prioritises activities according to business and operational needs; possesses analysis and problem‑solving skills; analyses issues to identify 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 is 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.
Career Stage
Senior Associate
Compensation/Benefits
LSEG is committed to offering competitive compensation and benefits. The anticipated base salary for this position is $125,100 - $208,500. Base salary ranges may vary by geographic location, city and state. In addition to the offered base salary, this role is eligible for our Annual Incentive Plan (AIP or bonus plan). Target AIP rates will be commensurate with role level and posted career stage. Individual salary will reflect job‑related knowledge, skills and equivalent experience. LSEG roles are typically eligible for inclusion in the LSEG Benefits program, which includes offerings such as: annual wellness allowance, paid time‑off, medical, dental, vision, flex spending & health savings options, prescription drug plan, 401(K) savings plan and company match. The benefits plan also includes basic life insurance, disability benefits, emergency backup dependent care, adoption assistance, commuter assistance etc.
Equal Opportunities
We are proud to be an equal opportunities employer. We do not discriminate on the basis of 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. We can reasonably accommodate applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs.
#J-18808-Ljbffr