At a Glance
- Tasks: Develop and enhance risk engine applications using Python and cloud technologies.
- Company: Global financial services firm with a focus on innovation and collaboration.
- Benefits: Fully remote work, competitive salary, and opportunities for professional growth.
- Other info: Great potential for career advancement in a modern tech-focused role.
- Why this job: Join a dynamic team tackling complex data challenges in a fast-paced environment.
- Qualifications: Strong Python skills and experience in scalable backend 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
Technical Skills:
- Python
- AWS cloud technologies
- Relational and non-relational databases
- CI/CD and automated testing
- Agile/Scrum delivery environments
Experience:
- 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.
Senior Python Engineer - Fully Remote employer: Harrington Starr
Our client is an exceptional employer, offering a fully remote role that allows Senior Python Engineers to thrive in a dynamic and collaborative environment. With a strong focus on employee growth, the company provides opportunities to work on cutting-edge risk technology projects while fostering a culture of innovation and teamwork. The unique advantage of this position lies in its exposure to high-impact financial markets, enabling employees to develop their skills in a rapidly evolving industry.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Python Engineer - Fully Remote
✨Tip Number 1
Network like a pro! Reach out to your connections in the financial services and tech space. Let them know you're on the lookout for opportunities, and don't hesitate to ask for introductions or referrals. We all know that sometimes it's not just what you know, but who you know!
✨Tip Number 2
Get your online presence sorted! Make sure your LinkedIn profile is up-to-date and showcases your Python engineering skills and experience with cloud technologies. We recommend sharing relevant projects or articles to demonstrate your expertise and passion for the field.
✨Tip Number 3
Prepare for those interviews! Research the company and its risk technology team thoroughly. We suggest practising common technical questions related to Python and data processing, as well as behavioural questions to show off your collaborative spirit. Confidence is key!
✨Tip Number 4
Apply through our website! We make it super easy for you to find and apply for roles like the Senior Python Engineer position. Plus, it shows you're genuinely interested in joining our team. Don't miss out on the chance to land that dream job!
We think you need these skills to ace Senior Python Engineer - Fully Remote
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Senior Python Engineer role. Highlight your experience with scalable backend systems, data processing, and any relevant financial services background to catch our eye!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about risk technology and how your Python expertise can contribute to our team. Keep it concise but impactful!
Showcase Your Projects:If you've worked on any projects involving complex calculations or large-scale data workflows, make sure to mention them. We love seeing real-world applications of your skills, especially in regulated environments!
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and get back to you quickly!
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 your past projects and how you've tackled 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 risk, counterparty risk, and operational risk. Research how these concepts apply to financial services and be prepared to discuss how your experience aligns with their needs.
✨Showcase Your Collaboration Skills
This position requires working closely with various teams, so highlight your experience in collaborative environments. Share examples of how you've successfully partnered with stakeholders from different backgrounds, particularly in tech and business settings.
✨Prepare for Technical Questions
Expect technical questions related to AWS cloud technologies, CI/CD practices, and automated testing. Brush up on these topics and be ready to explain how you've implemented them in your previous roles, as well as any challenges you faced and how you overcame them.
