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 strong career growth opportunities.
- Other info: Engage with modern AI tools and contribute to impactful risk solutions.
- Why this job: Join a collaborative team tackling real-world financial challenges with cutting-edge technology.
- Qualifications: Strong Python skills and experience in scalable backend systems.
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.
Python AWS Engineer - Remote in London employer: Harrington Starr
Our client is an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation within the financial services sector. With a strong focus on employee growth, they provide opportunities to engage with cutting-edge technology and complex data challenges, all while working remotely. The supportive environment encourages professional development and offers exposure to critical business areas, making it an ideal place for those seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land Python AWS Engineer - Remote in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working in risk technology. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, especially those involving AWS or data processing. This gives potential employers a taste of what you can do beyond your CV.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common coding challenges and be ready to discuss your experience with scalable systems and automation.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace Python AWS Engineer - Remote in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your Python and AWS experience, especially in scalable backend systems. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about this role and how your background fits into the Risk Technology team. We love seeing genuine enthusiasm and a clear connection to our mission.
Showcase Your Collaboration Skills:Since this role involves working closely with various teams, highlight any past experiences where you’ve successfully collaborated with others. We value teamwork, so let us know how you’ve contributed to group projects or discussions!
Apply Through Our Website:We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Harrington Starr
✨Know Your Tech Stack
Make sure you’re well-versed in Python and AWS, as these are crucial for the role. Brush up on your knowledge of relational and non-relational databases, and be ready to discuss how you've used them in past projects.
✨Understand Risk Systems
Familiarise yourself with risk management concepts, especially around market, counterparty, and operational risks. Being able to speak intelligently about these areas will show that you understand the business context of the technology you'll be working with.
✨Showcase Collaboration Skills
This role is highly collaborative, so be prepared to share examples of how you've worked with cross-functional teams. Highlight any experience you have in Agile/Scrum environments, as this will demonstrate your ability to adapt and thrive in a team setting.
✨Prepare for Problem-Solving Questions
Expect technical questions that assess your problem-solving skills, especially around scalable systems and data workflows. Practice explaining your thought process clearly, as this will help interviewers gauge your analytical abilities and approach to complex challenges.
