At a Glance
- Tasks: Build scalable applications that support trillions in assets and solve real-world problems.
- Company: FTSE Russell, a leader in global indexing and analytics.
- Benefits: Healthcare, retirement planning, paid volunteering days, and wellbeing initiatives.
- Other info: Equal opportunities employer with a culture of learning and innovation.
- Why this job: Join a dynamic team at the intersection of finance and technology, making a real impact.
- Qualifications: 2+ years in quantitative analytics; advanced degree in relevant fields; strong programming skills.
The predicted salary is between 60000 - 80000 £ per year.
FTSE Russell, a leader in global indexing and analytics, is seeking a skilled and motivated Quantitative Engineer to build robust, scalable and automated applications that support trillions in assets. You will have a combined understanding and background in software engineering, quantitative finance and data analysis to help build the next generation of Index solutions. Your work will be at the intersection of finance and technology, working alongside other analysts and engineers supporting the timely delivery of high-quality software, and fostering a culture of learning, innovation and continuous improvement.
WHAT YOU’LL BE DOING
- As a Quantitative Engineer, you’ll build with purpose — solving real-world problems with measurable impact. You will need to possess an excellent attention to detail and an ability to think laterally to solve business problems alongside an ability to hit the ground running, learn quickly and work against tight deadlines.
- Develop and Engineer: Write clean, efficient, maintainable code to support index calculations, back‑testing, performance attribution and analytics frameworks used for internal and external stakeholders. Build tools to streamline Index monitoring, validation and rebalancing as well as ad‑hoc requests.
- Work with data: Integrate, process, clean and analyze financial datasets including traded instruments (equity, fixed‑income, currencies, commodities and their derivatives), reference and alternative data, and ensure their appropriateness for production grade applications.
- Automate and Scale: Implement RESTful APIs, cloud‑native solutions, microservices, and automated CI/CD pipelines for rapid delivery. Design test cases and implement automated test drivers. Analyse production problems, provide troubleshooting and support as and when needed.
- Business Support: Collaborate with Product, Research and Operations teams to provide support and tools for their day‑to‑day and periodic activities, transition prototype code to our unified Enterprise computational framework and extend the Firm’s analytics and product offering.
- Learn and Grow: Gain in depth exposure to quantitative methods, systematic investment strategies and associated analytics, and the full lifecycle of FTSER’s product offering. Communicate with clarity, precision, and influence, presenting complex information in a clear and concise format that is appropriate for the audience.
WHAT YOU’LL BRING
- Minimum 2 years experience of quantitative analytics, research and development within financial services with a bank, asset manager, insurance company or related vendor.
- Strong background and expertise in data and methods applicable within risk management, portfolio construction, systematic investment strategies, cross-asset cash and derivative instruments and conventions are required.
- Graduate with an advanced degree (MSc or PhD) in Mathematics, Computer Science, Financial Engineering, Statistics, Physics or related scientific discipline, with any further professional qualifications being welcome.
- Strong programming skills in Python and SQL. Experience and exposure to data analytics libraries such as numpy, pandas, scipy, cvxpy. Experience with queries and familiarity with stored procedures.
- Familiarity with code version control tools such as GIT or similar, and ideally experience with APIs implementation.
- Strong background in software engineering best practices, standards and principles. Ability to write high performance code, strong understanding of data structures, algorithmic development, code optimization and complex problem-solving skills are required.
- Additional programming skills in C# or Java, experience defining manipulating, and managing configurations and systems based on JSON and XML models.
- Database skills across standard technologies such as SQL Server, Sybase, Snowflake or PostgreSQL.
- Cloud development, management and deployment with services such as AWS (EC2, Lambda, Glue, EKS, SQS) or similar.
LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives. 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.
Quantitative Engineer in London employer: Dormont Manufacturing Co
FTSE Russell is an exceptional employer that fosters a culture of innovation and continuous learning, making it an ideal place for a Quantitative Engineer to thrive. With a commitment to employee growth, the company offers tailored benefits including healthcare, retirement planning, and paid volunteering days, all within a collaborative environment that values diversity and inclusion. Located at the intersection of finance and technology, employees have the unique opportunity to work on impactful projects that support trillions in assets while developing their skills in a dynamic and supportive setting.
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We think you need these skills to ace Quantitative Engineer in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Dormont Manufacturing Co, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
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How to prepare for a job interview at Dormont Manufacturing Co
✨Brush Up on Your Statistics
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
