Quantitative Engineer- Derivates

Quantitative Engineer- Derivates

Full-Time 40500 - 49500 £ / year (est.) No working from home possible
London Stock Exchange Group

At a Glance

  • Tasks: Build scalable applications that support trillions in assets and solve real-world problems.
  • Company: Join LSEG, a global leader in financial markets and data services.
  • Benefits: Enjoy healthcare, retirement planning, paid volunteering days, and wellbeing initiatives.
  • Other info: Collaborative culture with opportunities for personal growth and innovation.
  • Why this job: Make a measurable impact at the intersection of finance and technology.
  • Qualifications: 2+ years in quantitative analytics; strong programming skills in Python and SQL.

The predicted salary is between 40500 - 49500 £ per year.

ABOUT US

LSEG (London Stock Exchange Group) is more than a diversified global financial markets infrastructure and data business. We are dedicated, open-access partners with a dedication to excellence in delivering the services our customers expect from us. With extensive experience, deep knowledge and worldwide presence across financial markets, we enable businesses and economies around the world to fund innovation, manage risk and create jobs. It’s how we’ve contributed to supporting the financial stability and growth of communities and economies globally for more than 300 years.

Through a comprehensive suite of trusted financial market infrastructure services - and our open-access model - we provide the flexibility, stability and trust that enable our customers to pursue their ambitions with confidence and clarity. LSEG is headquartered in the United Kingdom, with significant operations in 70 countries across EMEA, North America, Latin America and Asia Pacific. We employ 25,000 people globally, more than half located in Asia Pacific.

OUR PEOPLE

People are at the heart of what we do and drive the success of our business. Our culture of connecting, creating opportunity and delivering excellence shape how we think, how we do things and how we help our people fulfil their potential. We embrace diversity and actively seek to attract individuals with unique backgrounds and perspectives. We break down barriers and encourage teamwork, enabling innovation and rapid development of solutions that make a difference. Our workplace generates an enriching and rewarding experience for our people and customers alike. Our vision is to build an inclusive culture in which everyone feels encouraged to fulfil their potential.

ROLE SUMMARY

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.

Career Stage: Senior Associate

Information: Join us and be part of a team that values innovation, quality, and continuous improvement. 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.

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.

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

Quantitative Engineer- Derivates employer: London Stock Exchange Group

At London Stock Exchange Group, we pride ourselves on being an exceptional employer that champions innovation and sustainability. Our collaborative work culture fosters professional growth, offering employees ample opportunities to develop their skills in a dynamic environment focused on sustainable investment. Located in the heart of London, we provide a vibrant workplace with access to industry-leading resources and a commitment to making a positive impact in the financial sector.

London Stock Exchange Group

Contact Details:

London Stock Exchange Group Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Quantitative Engineer- Derivates

Tap into Campus Networks

If you're still in uni, don’t forget to engage with your campus's career services and attend finance-related events. Banks often do presentations and recruitment drives on campus, so put yourself out there and make use of these opportunities to show off your passion for the field.

Get Certified

Consider pursuing relevant certifications like the CFA or ACCA while you’re job hunting. They not only beef up your CV but also connect you with professional bodies which can lead to networking opportunities and even job openings in banking and financial services.

Connect on Professional Platforms

Join finance-focused groups on platforms like LinkedIn and engage in discussions. This can really help you stand out from the crowd, allowing potential employers to see your knowledge and interest in industry trends. Plus, you might stumble upon job postings shared exclusively within the group.

Apply Directly and Be Proactive

Don’t shy away from reaching out directly to firms like London Stock Exchange Group. Use their websites and apply through them, but also consider following up with a polite email to express your enthusiasm. Being proactive can make a huge difference in getting noticed in the competitive financial services sector.

We think you need these skills to ace Quantitative Engineer- Derivates

Problem-Solving Skills
Communication Skills
Python
SQL
Attention to Detail
Automation
Data Engineering

Some tips for your application 🫡

Show Off Your Numbers!:In the banking and financial services world, quantifiable achievements are key. Make sure your CV highlights your grades in relevant subjects, any financial certifications you hold, and specific projects where you've delivered measurable results. Employers love to see how your skills translate into real-world success.

Tailor Your Cover Letter to the Role:When applying for a full-time position, your cover letter should make a direct connection between your experience and the job description. Don't just state your enthusiasm for finance—dive into how your background in banking or financial analysis sets you apart. Let your passion shine through while being specific about what you can bring to London Stock Exchange Group.

Include Relevant Financial Software Experience:If you've worked with financial modelling tools or software like Excel, SAP, or specific analytical tools during your studies or internships, bring that up! Highlighting your proficiency can really make your application pop and show you're ready to hit the ground running in a full-time role.

Research and Reflect:Before hitting that 'apply' button on London Stock Exchange Group's website, do a little digging. Look up their recent projects, values, and culture. Reflecting their ethos in your application can make a huge difference and show you’re genuinely interested in being part of the team!

How to prepare for a job interview at London Stock Exchange Group

Brush Up on Financial Analysis Skills

Make sure you're well-versed in financial concepts and analytical techniques relevant to banking and financial services. Get comfortable with tools like Excel for modelling or financial forecasting, as technical questions in this area are common during interviews with London Stock Exchange Group.

Prepare for Case Studies

Expect to tackle case studies that demonstrate your problem-solving skills in real-world banking scenarios. Familiarise yourself with the types of problems you might face—think risk assessments or investment evaluations—and be ready to articulate your thought process clearly.

Show Your Passion for Finance

Since this is a full-time position, employers at London Stock Exchange Group will be keen to see your genuine interest in finance. Be prepared to discuss recent industry trends or news articles that excite you, showcasing your enthusiasm and engagement with the field.

Network with Industry Professionals

Before your interview, reach out to current or former London Stock Exchange Group employees on platforms like LinkedIn. They'll offer unique insights into the company's culture and the interview process, which can give us a delightful edge in showcasing a good fit for the team.