At a Glance
- Tasks: Join a team to build systems for large-scale financial optimisation.
- Company: LSEG, a leading global financial services company.
- Benefits: Healthcare, retirement planning, and wellbeing initiatives.
- Other info: Collaborative environment with opportunities for professional growth.
- Why this job: Make a real impact in finance with your Python skills.
- Qualifications: 3-6 years of software engineering experience and strong Python skills.
The predicted salary is between 60000 - 80000 £ per year.
LSEG is seeking a mid-level software engineer to join the Optimisation CoreTech Strats team in London. You will contribute to building systems that power large-scale optimisation runs for global financial institutions and collaborate with colleagues to enhance infrastructure and applications.
The ideal candidate has 3-6 years of experience in software engineering, strong Python development skills, and familiarity with trade booking systems.
Benefits include healthcare, retirement planning, and wellbeing initiatives.
Senior Python Software Engineer, Finance Data Optimization employer: LSEG
LSEG is an exceptional employer, offering a dynamic work culture in the heart of London where innovation meets finance. Employees benefit from comprehensive healthcare, retirement planning, and wellbeing initiatives, alongside ample opportunities for professional growth and collaboration within a talented team dedicated to optimising financial systems. Join us to make a meaningful impact in the financial sector while enjoying a supportive and engaging workplace.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Python Software Engineer, Finance Data Optimization
✨Tip Number 1
Network like a pro! Reach out to folks in the finance tech space, especially those who work at LSEG or similar companies. A friendly chat can open doors and give you insights that might just land you an interview.
✨Tip Number 2
Show off your skills! Create a GitHub portfolio showcasing your Python projects, especially those related to optimisation or finance. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on algorithms and data structures. Practice coding challenges on platforms like LeetCode or HackerRank. We want you to feel confident when tackling those tricky questions!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Senior Python Software Engineer, Finance Data Optimization
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your Python development skills and any experience with trade booking systems. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about the Senior Python Software Engineer position and how your experience can contribute to our Optimisation CoreTech Strats team. Keep it engaging and personal.
Showcase Your Problem-Solving Skills:In your application, highlight specific examples where you've tackled complex problems or optimised systems. We love seeing how you think and approach challenges, especially in a finance context!
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing candidates who take that extra step!
How to prepare for a job interview at LSEG
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your past projects and how you've used Python to solve complex problems, especially in finance-related contexts.
✨Understand Trade Booking Systems
Familiarise yourself with trade booking systems and their functionalities. Being able to discuss how these systems work and how you've interacted with them in previous roles will show that you're a strong fit for the team.
✨Showcase Your Problem-Solving Skills
Prepare to tackle some technical challenges during the interview. Practice coding problems that focus on optimisation and data handling, as this will demonstrate your ability to contribute to large-scale optimisation runs.
✨Ask Insightful Questions
Come prepared with questions about the Optimisation CoreTech Strats team and their current projects. This shows your genuine interest in the role and helps you understand how you can make an impact from day one.
