At a Glance
- Tasks: Design and develop cutting-edge quantitative risk analytics solutions using Python.
- Company: Join a leading global financial markets organisation focused on innovation.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Other info: Collaborative team culture with a focus on modern engineering practices.
- Why this job: Make a real impact in risk management while working with top-tier technology.
- Qualifications: Strong Python and SQL skills, with experience in financial services and risk analytics.
The predicted salary is between 63000 - 77000 £ per year.
Your newpany
A leading global financial markets organisation is undertaking a major risk and margin transformation programme and is seeking experienced Quantitative Risk Engineers to help accelerate delivery.
Operating within a highly regulated environment, the organisation is investing heavily in modernising its risk analytics platforms, cloud-native infrastructure, and enterprise data capabilities.
This is an opportunity to join a technically strong team working on business-critical risk systems that directly support market operations, margin methodologies, and risk management frameworks.
Your New Role
As a Quantitative Risk Engineer, you will play a key role in designing, developing, and implementing production-grade quantitative risk analytics solutions using Python.
Working closely with Risk, Quantitative Analytics, Architecture, and Engineering teams, you will help build robust, scalable platforms that support strategic risk and margin initiatives.
- What you'll need to succeed
- Strongmercial
Python development experience with clear evidence of building and delivering solutions into production environments.
- Strong
SQL skills and experience working with large data sets and data platforms.
- Experience within
Financial Services, ideally in risk, pricing, market risk, price control, clearing, exchanges or capital markets environments.
- Understanding of risk methodologies and concepts
, including exposure to risk analytics, Va R, margining or related risk frameworks.
- Proven ability to develop robust, scalable applications using modern engineering practices.
- Experience with automated testing frameworks and a strong appreciation of software quality and testing disciplines.
- Exposure to
CI/CD pipelines and Dev Ops tooling.
- Experience working in
Agile or sprint-based delivery environments.
- Strongmunication skills, a proactive mindset and the ability to work independently whilst collaborating effectively with stakeholders.
Highly desirable
Clearing house or exchange experience.
Quantitative risk or derivatives pricing exposure.
Containerisation and cloud-native technologies such as Open Shift.
Experience delivering large-scale risk transformation or modernisation programmes.
Python Developer – Risk/Quant focus in London employer: hays-gcj-v4-pd-online
Join a leading civil engineering contractor in Leicester, renowned for its commitment to delivering impactful infrastructure projects across the Midlands. With a strong focus on employee development, this company offers a supportive and collaborative work environment, competitive salary, and flexible working options, making it an excellent choice for professionals seeking meaningful career growth in the civils sector.
StudySmarter Expert Advice🤫
We think this is how you could land Python Developer – Risk/Quant focus in London
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We think you need these skills to ace Python Developer – Risk/Quant focus in London
Some tips for your application 🫡
Show Off Your Numbers!:In the banking and financial services world, quantifiable achievements are key. Make sure your CV highlights your grades in relevant subjects, any financial certifications you hold, and specific projects where you've delivered measurable results. Employers love to see how your skills translate into real-world success.
Tailor Your Cover Letter to the Role:When applying for a full-time position, your cover letter should make a direct connection between your experience and the job description. Don't just state your enthusiasm for finance—dive into how your background in banking or financial analysis sets you apart. Let your passion shine through while being specific about what you can bring to hays-gcj-v4-pd-online.
Include Relevant Financial Software Experience:If you've worked with financial modelling tools or software like Excel, SAP, or specific analytical tools during your studies or internships, bring that up! Highlighting your proficiency can really make your application pop and show you're ready to hit the ground running in a full-time role.
Research and Reflect:Before hitting that 'apply' button on hays-gcj-v4-pd-online's website, do a little digging. Look up their recent projects, values, and culture. Reflecting their ethos in your application can make a huge difference and show you’re genuinely interested in being part of the team!
How to prepare for a job interview at hays-gcj-v4-pd-online
✨Brush Up on Financial Analysis Skills
Make sure you're well-versed in financial concepts and analytical techniques relevant to banking and financial services. Get comfortable with tools like Excel for modelling or financial forecasting, as technical questions in this area are common during interviews with hays-gcj-v4-pd-online.
✨Prepare for Case Studies
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✨Show Your Passion for Finance
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✨Network with Industry Professionals
Before your interview, reach out to current or former hays-gcj-v4-pd-online employees on platforms like LinkedIn. They'll offer unique insights into the company's culture and the interview process, which can give us a delightful edge in showcasing a good fit for the team.
