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Senior Analyst, Quant Research

Pay
Pay not listed
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

What you’ll work on

Full posting
  • Develop, test and maintain Python and SQL research tools and data pipelines

  • Investigate data anomalies and find root causes across data, code and methodology

  • Build automation and AI-enabled tools and agents for research and data checking

  • Support factor analysis, regression, portfolio optimisation, risk modelling and performance analytics

  • Support index rebalances, methodology development and client-facing analysis

From the employer’s posting
Develop, test and maintain Python and SQL-based research tools, investment analytics and data pipelines
investigate anomalies and identify root causes across data, code and methodology
Develop automation and AI-enabled tools and agents to improve research, data checking and operational workflows.
Support quantitative investment and index research, including factor analysis, regression, portfolio optimisation, risk modelling and performance analytics.
Support index research, methodology development, rebalances and other operational activities

Posting record

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Status in our records
Live
First seen by us
Oct 21, 202623 days ago
Recorded sightings
46
Last seen by us
Nov 13, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 23

Similar jobs usually come down between day 6 and day 56.

At London Stock Exchange Group, jobs usually come down by about day 27.

From 13,541 similar postings that came down, and 175 of London Stock Exchange Group’s. Coming down is not always a hire.

London Stock Exchange Group is hiring

64 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring at a steady pace
  • Takes jobs down at a usual pace
  • 3% of open jobs were reposted
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • SQL
  • NumPy
  • pandas
Where the posting names them
FTSE Russell is a leading global index provider, creating and managing benchmark, analytics and data solutions used by asset owners, asset managers, investment banks, ETF providers and other financial institutions worldwide. The role sits within the Equities & Multi-Asset Index Research & Design team, a global group responsible for the development, design, research and enhancement of index methodologies, analytics and investment solutions. The team works closely with Engineering, Technology, Data Operations, Product, Sales and clients to deliver innovative index capabilities and analytical solutions. We are seeking a highly technical and versatile Senior Analyst, Quantitative Research & Development who enjoys solving problems across quantitative development, data analysis, research and operational delivery. This is a hands-on role requiring the ability to switch rapidly between priorities: one day developing a Python research tool or AI-enabled workflow, another investigating a complex data issue, validating investment analytics or supporting a research or client request. The successful candidate will take ownership of problems from investigation through resolution and be comfortable working across multiple teams and disciplines. Key Responsibilities
Key Responsibilities - Develop, test and maintain Python and SQL-based research tools, investment analytics and data pipelines, applying strong software engineering and CI/CD practices. - Perform detailed data analysis, validation and quality assurance across large financial datasets; investigate anomalies and identify root causes across data, code and methodology.
Candidate Profile The ideal candidate will have approximately 5 years of experience in quantitative development, financial data analytics, quantitative research or a related discipline, with strong hands-on Python and SQL skills. Experience with pandas, NumPy, Git, testing, CI/CD, cloud computing and modern development environments such as VS Code and GitHub Copilot is highly desirable, as is practical experience developing with generative AI and AI agents. Candidates should have a good understanding of equity markets and quantitative techniques such as regression, optimisation, factor investing and risk modelling, combined with a rigorous approach to financial data and quality assurance. Above all, we are looking for an agile, curious and highly motivated problem solver who pays meticulous attention to detail, learns quickly, takes ownership and is comfortable juggling multiple priorities in an environment where the skills required can change from one task to the next. Career Stage:

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Has London Stock Exchange Group posted this job before?

Yes. We’ve followed one other Senior Analyst, Quant Research job there since October 2026. It is still up.

  1. LondonStill up after 28 days, first seen Oct 16
  2. This jobUp 23 days so far, first seen Oct 21

About London Stock Exchange Group

Company
Listed as LSEG.L.
H-1B visas
17 approved for new hires in fiscal 2025.US Citizenship and Immigration Services

Demand for Data Engineer roles

New Data Engineer postings at the employers we follow are up 7% over the last 6 weeks compared with the 6 before.

Weekly new Data Engineer postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 860, the most 1,354, and the latest week had 1,335.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

Role Profile


FTSE Russell is a leading global index provider, creating and managing benchmark, analytics and data solutions used by asset owners, asset managers, investment banks, ETF providers and other financial institutions worldwide. The role sits within the Equities & Multi-Asset Index Research & Design team, a global group responsible for the development, design, research and enhancement of index methodologies, analytics and investment solutions. The team works closely with Engineering, Technology, Data Operations, Product, Sales and clients to deliver innovative index capabilities and analytical solutions.


We are seeking a highly technical and versatile Senior Analyst, Quantitative Research & Development who enjoys solving problems across quantitative development, data analysis, research and operational delivery. This is a hands-on role requiring the ability to switch rapidly between priorities: one day developing a Python research tool or AI-enabled workflow, another investigating a complex data issue, validating investment analytics or supporting a research or client request. The successful candidate will take ownership of problems from investigation through resolution and be comfortable working across multiple teams and disciplines.


Key Responsibilities


  • Develop, test and maintain Python and SQL-based research tools, investment analytics and data pipelines, applying strong software engineering and CI/CD practices.
  • Perform detailed data analysis, validation and quality assurance across large financial datasets; investigate anomalies and identify root causes across data, code and methodology.
  • Develop automation and AI-enabled tools and agents to improve research, data checking and operational workflows.
  • Support quantitative investment and index research, including factor analysis, regression, portfolio optimisation, risk modelling and performance analytics.
  • Work with datasets and platforms including Worldscope, IBES, Lipper, Datastream and Refinitiv Workspace, developing a strong understanding of their structure, coverage and appropriate application.
  • Partner with Research Analysts, Engineering, Technology and Data Operations to translate analytical requirements into robust, scalable solutions.
  • Support index research, methodology development, rebalances and other operational activities where strong analytical and technical expertise is required.
  • Respond to internal and external analytical enquiries and contribute to client-facing analysis and materials.
  • Continuously improve existing code, processes and research infrastructure with a focus on scalability, automation, accuracy and maintainability.

Candidate Profile


The ideal candidate will have approximately 5 years of experience in quantitative development, financial data analytics, quantitative research or a related discipline, with strong hands-on Python and SQL skills. Experience with pandas, NumPy, Git, testing, CI/CD, cloud computing and modern development environments such as VS Code and GitHub Copilot is highly desirable, as is practical experience developing with generative AI and AI agents. Candidates should have a good understanding of equity markets and quantitative techniques such as regression, optimisation, factor investing and risk modelling, combined with a rigorous approach to financial data and quality assurance. Above all, we are looking for an agile, curious and highly motivated problem solver who pays meticulous attention to detail, learns quickly, takes ownership and is comfortable juggling multiple priorities in an environment where the skills required can change from one task to the next.

Career Stage:

Senior Associate

London Stock Exchange Group (LSEG) Information:

Join us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we'd love to hear from you.

LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.

Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.

Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.

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.

You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering.

LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.

Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it’s used for, and how it’s obtained, your rights and how to contact us as a data subject.

If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.

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London, United Kingdom

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