At a Glance
- Tasks: Design and build high-quality software solutions for global financial institutions.
- Company: Join LSEG, a leader in financial markets with over 300 years of experience.
- Benefits: Enjoy healthcare, retirement planning, paid volunteering days, and wellbeing initiatives.
- Other info: Opportunities for continuous learning and career growth in a supportive environment.
- Why this job: Make a real impact on financial markets while developing your skills in a collaborative team.
- Qualifications: 3-6 years of software engineering experience with strong Python skills required.
The predicted salary is between 55000 - 65000 £ per year.
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 commitment 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.
Our Optimisation CoreTech Strats team builds the systems that sit at the heart of Quantile’s client services. As a large, diverse, and highly collaborative engineering team, we are responsible for designing and delivering the infrastructure, applications, and data pipelines that allow financial institutions to securely submit risk and trade data to Quantile.
The Role
We are looking for a mid-level software engineer to join our team. In this role, you will contribute to building and enhancing systems that power large-scale optimisation runs used by global financial institutions. You’ll collaborate with colleagues in Product Development and Financial Engineering to deliver reliable, high-quality solutions, while continuing to develop your expertise in infrastructure systems and software engineering. You will validate and integrate financial data into the optimisation algorithms and ensure results are delivered back to clients in a secure, reliable, and timely way. You will also develop analytics and feedback capabilities that help both our Product management team and clients better understand outcomes and identify ways to improve future optimisation runs through adjustments to inputs, parameters, and workflows.
Our technology stack is centred on Python on the backend, with extensive use of AWS services, and React on the frontend. Data are managed across PostgreSQL (RDS), Redshift/Snowflake, and S3. Examples of recent projects include:
- Expanding the client portal and data pipelines with new services and products
- Setting up new connections to trade booking systems and APIs to trade and manage client risk exposure
- Setting up a new interactive system – leveraging frontend and backend systems – to simplify client constraints definitions
Key Responsibilities
- Design, build, and deliver high-quality software solutions both independently and as part of a wider engineering team
- Develop APIs and backend services for scenario generation and integration with quantitative libraries
- Evaluate and improve the performance, effectiveness, and reliability of system components
- Validate and process client data accurately and securely
- Identify and implement opportunities to automate processes and workflows
- Generate structured reports and formatted output files for delivery to clients and third-party APIs
What We’re Looking For
- 3-6 years of experience in software engineering, with strong Python development skills
- Experience working with trade booking, middle-office, or post-trade systems, and familiarity with standards such as MarkitWire, FpML, or FIX protocol
- Familiarity building data-intensive applications, including use of PyData stack
- Strong problem-solving, communication, and collaboration skills
- Familiarity with Unix/Linux, Git, and SQL
Desirable
- Knowledge of financial derivatives, clearing and the basics of margin and capital regulatory requirements
- Exposure to AI‑assisted tools or workflow automation in a secure, responsible engineering environment
- Experience across the full software development lifecycle, and understanding of software design principles (including SOLID), clean code practices, and object-oriented programming
- Affinity with Java and/or C++ programming
Working With Us
You’ll work in a collaborative, supportive team where knowledge sharing is encouraged. You’ll have opportunities to learn and deepen your expertise in both quantitative methods and software engineering. You’ll be involved in solving real‑world problems with tangible impact on financial markets. We value continuous improvement—both in our systems and in how we work together.
Benefits
We offer a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.
Equal Opportunity Employer
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.
Software Engineer employer: LSEG
LSEG is an exceptional employer that fosters a collaborative and inclusive work culture, where knowledge sharing and continuous improvement are at the forefront. As a Software Engineer, you will have the opportunity to work on impactful projects within a diverse team, enhancing your skills in a supportive environment while enjoying tailored benefits such as healthcare and paid volunteering days. Located in the heart of London, you will be part of a prestigious organisation with a rich history of contributing to global financial stability and innovation.
StudySmarter Expert Advice🤫
We think this is how you could land Software Engineer
✨Tip Number 1
Network like a pro! Reach out to current employees at LSEG through LinkedIn or other platforms. Ask them about their experiences and any tips they might have for landing a role in the Optimisation CoreTech Strats team.
✨Tip Number 2
Prepare for technical interviews by brushing up on your Python skills and understanding the financial systems mentioned in the job description. Practise coding challenges and be ready to discuss your past projects that relate to data-intensive applications.
✨Tip Number 3
Showcase your problem-solving skills during interviews. Be ready to tackle hypothetical scenarios related to optimisation runs and client data processing. This will demonstrate your ability to think critically and apply your knowledge effectively.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining the LSEG team and contributing to their mission.
We think you need these skills to ace Software Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Software Engineer role. Highlight your Python development skills and any experience with financial systems, as these are key for us.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about this role and how your background makes you a great fit. Be sure to mention any relevant projects or experiences that showcase your problem-solving abilities.
Showcase Your Technical Skills:Don’t forget to include specific examples of your work with APIs, data-intensive applications, and any familiarity with AWS services. We love seeing how you've tackled challenges in your previous roles!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at LSEG
✨Know Your Tech Stack
Familiarise yourself with the technologies mentioned in the job description, especially Python, AWS, and PostgreSQL. Be ready to discuss your experience with these tools and how you've used them in past projects.
✨Showcase Problem-Solving Skills
Prepare examples of how you've tackled complex problems in software engineering. Think about specific challenges you've faced and how you approached them, particularly in relation to financial systems or data-intensive applications.
✨Understand Financial Concepts
Brush up on key financial terms and concepts relevant to the role, such as trade booking and risk management. This will help you communicate effectively with the team and demonstrate your interest in the financial sector.
✨Ask Insightful Questions
Prepare thoughtful questions about the team’s projects and the company’s approach to software development. This shows your enthusiasm for the role and helps you gauge if the company culture aligns with your values.