At a Glance
- Tasks: Develop and enhance risk engine applications using Python and AWS.
- Company: Global financial services firm with a focus on innovation.
- Benefits: Remote work, competitive salary, and opportunities for professional growth.
- Other info: Great potential for long-term career advancement in a modern tech function.
- Why this job: Join a collaborative team tackling complex data challenges in a dynamic environment.
- Qualifications: Strong Python skills and experience with scalable systems required.
The predicted salary is between 60000 - 80000 £ per year.
Our client is a global financial services and market infrastructure business operating across commodities, energy and financial markets. They provide liquidity, execution, clearing and risk solutions to a broad institutional client base including banks, hedge funds, asset managers, traders and producers.
This role sits within a business-facing Risk Technology team focused on building and enhancing strategic risk systems and analytics platforms used across multiple areas of the business. The successful candidate will join a team responsible for developing scalable risk engines and improving complex calculation, reporting and data-processing workflows across areas such as:
- Market Risk
- Counterparty Risk
- Clearing Risk
- Operational Risk
This is a highly collaborative role sitting close to both technology and business stakeholders, offering strong exposure to quantitative risk processes, large-scale data engineering challenges and modern cloud-based engineering practices.
Key Responsibilities:
- Develop and enhance strategic risk engine applications and supporting infrastructure
- Build scalable numerical-processing systems and high-volume data workflows
- Improve automation, reporting and operational efficiency across risk platforms
- Integrate and standardise data across internal and vendor systems
- Work closely with Risk, Platform Engineering, Application Support and wider technology teams
- Contribute to architecture discussions, testing strategy and engineering best practices
- Work with modern AI-assisted development tooling where appropriate
Technologies:
- Python
- AWS cloud technologies
- Relational and non-relational databases
- CI/CD and automated testing
- Agile/Scrum delivery environments
Qualifications:
- Strong Python engineering experience with focus on scalable backend or data-intensive systems
- Experience building applications involving complex calculations or large-scale processing
- Strong understanding of software engineering best practices, testing and automation
- Experience operating within regulated or financial services environments is beneficial
The role offers strong long-term growth potential within a modernising technology function supporting commercially critical business areas.
Remote Senior Python Engineer in London employer: Harrington Starr
As a leading global financial services provider, our client offers an exceptional work environment for a Remote Senior Python Engineer, characterised by a strong emphasis on collaboration and innovation. Employees benefit from a culture that prioritises professional growth, with opportunities to engage in cutting-edge technology and complex data challenges, all while working remotely. The company fosters a supportive atmosphere where team members can thrive, contributing to impactful projects that shape the future of risk management in the financial sector.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Senior Python Engineer in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the financial services and tech space. Attend meetups or webinars related to risk technology, and don’t be shy about asking for introductions. We all know that sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, especially those involving scalable systems or complex calculations. This is your chance to demonstrate your expertise in building applications that align with the role's requirements. We recommend sharing this on platforms like GitHub.
✨Tip Number 3
Prepare for the interview by brushing up on your knowledge of AWS cloud technologies and CI/CD practices. We suggest doing mock interviews with friends or using online platforms to get comfortable discussing your experience with risk systems and data workflows.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always looking for talented individuals who can contribute to our collaborative environment. Don’t miss out on the opportunity to join a team that values innovation and growth!
We think you need these skills to ace Remote Senior Python Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of Senior Python Engineer. Highlight your experience with Python, AWS, and any relevant financial services background. We want to see how your skills match what we're looking for!
Showcase Your Projects:Include specific projects that demonstrate your ability to build scalable systems and handle complex calculations. We love seeing real examples of your work, especially if they relate to risk technology or data engineering.
Be Clear and Concise:When writing your application, keep it clear and to the point. Use bullet points where possible to make it easy for us to read through your experience and skills. We appreciate a well-structured application!
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Harrington Starr
✨Know Your Python Inside Out
Make sure you brush up on your Python skills, especially around scalable backend systems and data-intensive applications. Be ready to discuss specific projects where you've implemented complex calculations or large-scale processing.
✨Familiarise Yourself with Risk Technology
Since this role is within a Risk Technology team, it’s crucial to understand the basics of market, counterparty, and operational risk. Research how these areas interact with technology and be prepared to discuss how you can contribute to enhancing risk systems.
✨Showcase Your Cloud Knowledge
Get comfortable with AWS cloud technologies as they are key to this role. Be ready to talk about any experience you have with cloud-based engineering practices and how you've used them in past projects.
✨Emphasise Collaboration Skills
This position requires working closely with various teams, so highlight your collaborative experiences. Share examples of how you've successfully worked with stakeholders from different backgrounds, especially in Agile/Scrum environments.
