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For Companies At a Glance
- Tasks: Join a dynamic team to develop and deploy cutting-edge risk models using Python.
- Company: Innovative financial firm focused on collaboration and growth.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional development.
- Why this job: Make a real impact in financial risk while learning industry-standard modelling concepts.
- Qualifications: 3 years of Python experience and solid SQL skills required.
- Other info: Collaborative culture that values ownership and continuous improvement.
The predicted salary is between 48000 - 72000 ÂŁ per year.
About the team
You’ll join a small, London based Financial Risk team that designs, develops and deploys risk models covering credit, market, capital and liquidity for derivative trading. The group works closely with Model Validation, Regulatory Capital, Finance, Treasury, Credit Operations, Enterprise Data and Technology. The environment is cross‑functional, commercially focused, and hybrid (typically three days on site).
Role purpose
Help build, maintain and productionise quantitative risk models and the surrounding automation so the business can act quickly on high‑quality risk insights. You’ll contribute code, testing, documentation and operational run‑books, and support incremental migrations toward cloud tooling.
What you’ll do
- Contribute to the design, development and deployment of Python‑based risk models (e.g., components of VaR/ES or PD/LGD pipelines) under senior guidance.
- Refactor and harden existing code paths; add unit tests, data validation checks and logging.
- Build and maintain CI/CD jobs in GitLab for model rebuilds and scheduled tasks; assist with release notes and rollbacks.
- Automate recurring processes and controls (data loads, reconciliations, report generation).
- Collaborate with first‑line commercial teams to clarify requirements and triage model output questions.
- Support early cloud migration tasks (e.g., packaging jobs, testing connectors, basic Looker dashboards) with mentorship from seniors.
Tech you’ll use
- Python (pandas, NumPy; matplotlib for basic plots) and SQL for model development and analysis.
- GitLab for source control and deployment pipelines.
- Exposure to MongoDB and GCP services; growing use of Looker and Vertex AI as the stack transitions.
What you’ll learn/exposure
- Industry‑standard risk modelling concepts (stress testing, VaR/ES, PD/LGD).
- Model lifecycle & controls (documentation, validation, monitoring, and auditability).
- Stakeholder engagement across risk, finance, treasury, capital & tech.
Minimum requirements (aimed at ~3 years’ experience)
- ~3 years with Python in a data or risk/quant adjacent role, including pandas/NumPy and writing testable, readable code.
- Solid SQL for data wrangling and reconciliation.
- Practical Git experience; familiarity with GitLab or similar CI/CD.
- Understanding of at least one risk domain (market, credit, capital or liquidity) and basic knowledge of common models (e.g., VaR/ES or PD/LGD).
- Comfortable working in a hybrid, collaborative setup with clear, concise communication.
Nice-to-have
- Experience in a bank/consultancy risk team or adjacent regulated environment.
- Exposure to MongoDB, GCP, Looker, or Vertex AI.
- Familiarity with model monitoring/alerting and data quality frameworks.
Ways of working & culture
We value ownership, pace, client focus, and raising the bar while staying collaborative and inclusive. Team members are encouraged to think big, automate where possible, and ship improvements continuously. Hybrid working with three days in the office supports collaboration and learning.
AVP - Python Quant Developer - Risk employer: Barclay Simpson
Contact Detail:
Barclay Simpson Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AVP - Python Quant Developer - Risk
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works in risk or quant development. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Show Off Your Skills
When you get the chance to chat with potential employers, don’t hold back! Share your experiences with Python, SQL, and any cool projects you've worked on. Bring examples of your code or models if you can – it’s a great way to demonstrate your expertise and passion.
✨Tailor Your Approach
Before any interview, do your homework! Understand the company’s risk models and how they operate. Tailor your questions and answers to show that you’re not just another candidate, but someone who genuinely cares about their work and wants to contribute.
✨Apply Through Us!
Don’t forget to check out our website for job openings! Applying through StudySmarter gives you a better chance to stand out, and we’re always looking for talented individuals like you to join our team. Let’s make those risk models shine together!
We think you need these skills to ace AVP - Python Quant Developer - Risk
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the role. Highlight your Python expertise, especially in risk modelling, and any relevant projects you've worked on. We want to see how you can contribute to our Financial Risk team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about risk modelling and how your background makes you a great fit for the team. Don’t forget to mention your experience with CI/CD and cloud tools, as these are key for us.
Showcase Your Projects: If you've worked on any relevant projects, whether in a professional or academic setting, make sure to include them. We love seeing practical applications of your skills, especially in Python and SQL. It gives us a better idea of what you can bring to the table!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at Barclay Simpson
✨Know Your Python Inside Out
Make sure you brush up on your Python skills, especially with libraries like pandas and NumPy. Be ready to discuss how you've used these tools in past projects, particularly in risk modelling or data analysis.
✨Understand Risk Modelling Concepts
Familiarise yourself with key risk concepts such as VaR/ES and PD/LGD. Be prepared to explain these models and how they apply to the role, as well as any experience you have in implementing them.
✨Showcase Your CI/CD Knowledge
Since the role involves building and maintaining CI/CD jobs in GitLab, be ready to talk about your experience with version control and deployment pipelines. Highlight any specific projects where you've automated processes or improved workflows.
✨Communicate Clearly and Collaboratively
Given the cross-functional nature of the team, practice articulating your thoughts clearly. Think of examples where you've successfully collaborated with different teams, and be ready to discuss how you handle feedback and requirements from stakeholders.
