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- Tasks: Join a dynamic team to enhance investment risk models and deliver actionable insights.
- Company: Innovative fintech firm at the forefront of investment risk and analytics.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Collaborative environment with exposure to automation and AI-driven analytics.
- Why this job: Make a real impact by combining tech skills with investment risk analysis.
- Qualifications: 1-4 years in investment risk or analytics, strong Python and Excel skills.
The predicted salary is between 65000 - 75000 £ per year.
BWD Search is partnering with a highly innovative investment firm to hire an Investment Risk Modelling Associate into a fast-growing risk and analytics team. This is a unique opportunity to work at the intersection of investment risk, data, and technology, helping scale a proprietary risk framework that underpins key investment decisions.
You will support the day-to-day running and enhancement of Python-based risk models, ensuring data integrity, delivering robust risk analysis, and contributing to model validation and development. The role also offers exposure to automation and AI-driven analytics, as well as collaboration with product and technology teams to embed models into a scalable platform. Alongside core modelling responsibilities, you’ll produce high-quality investment insights, translating complex outputs into clear, actionable analysis for stakeholders across the business.
About you:
- 1–4 years’ experience in investment risk, modelling, or analytics
- Strong Python and Excel skills
- Solid understanding of investment risk and portfolio construction
- Curious, detail-oriented, and excited by innovation
This role is ideal for someone looking to join a forward-thinking firm where they can combine technical expertise with real commercial impact.
Key responsibilities include:
- Risk Framework Support
- Run and maintain core investment risk model processes, ensuring all assets are appropriately assessed
- Support the migration of Python-based models into a scalable production environment
- Assist in maintaining capital market assumptions and contributing to model governance
- Collaborate with stakeholders to enhance automation and AI-driven analytics
- Data Quality & Oversight
- Build and maintain data monitoring processes to identify and flag data quality issues
- Investigate and resolve anomalies across third-party data sources
- Act as a first line of defence for asset data integrity
- Model Validation & Development
- Support regular model validation and recalibration exercises
- Contribute to the ongoing enhancement of risk models and analytical tools
- Assist in expanding analytics capabilities across asset classes (e.g. private markets, real assets)
- Documentation & Knowledge Sharing
- Produce clear and comprehensive documentation across models, methodologies, and processes
- Act as a key point of contact for internal queries relating to investment risk
- Stakeholder Engagement & Analysis
- Deliver high-quality investment risk and performance analysis to internal stakeholders
- Translate complex model outputs into clear, actionable insights
- Support marketing and business development teams with scenario analysis and risk commentary
- Product & Technology Collaboration
- Work closely with product and technology teams to embed risk analytics into core systems
- Support testing and validation of new features and model outputs
- Contribute to defining processes around deployment, monitoring, and incident management
Please forward your cv and we can set up a conversation.
Investment Risk Modeller - Fintech in London employer: BWD Search & Selection
Contact Detail:
BWD Search & Selection Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Investment Risk Modeller - Fintech in London
✨Tip Number 1
Network like a pro! Reach out to people in the fintech space, especially those working in investment risk. A casual chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio of Python projects or risk models, don’t hesitate to share them. A personal website or GitHub can really make you stand out.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and understanding of investment risk. Be ready to discuss how you can contribute to model validation and development.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love hearing from passionate candidates who are excited about innovation.
We think you need these skills to ace Investment Risk Modeller - Fintech in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Investment Risk Modelling Associate. Highlight your experience with Python, investment risk, and any relevant analytics work. We want to see how your skills align with what we're looking for!
Showcase Your Projects: If you've worked on any projects involving risk models or data analysis, don’t hold back! Share specific examples that demonstrate your technical expertise and problem-solving skills. This is your chance to shine and show us what you can bring to the team.
Be Clear and Concise: When writing your application, clarity is key. Use straightforward language to explain your experience and insights. We appreciate a well-structured application that makes it easy for us to see your potential fit for the role.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you’re considered for the role. Plus, it’s super easy – just follow the prompts and submit your details!
How to prepare for a job interview at BWD Search & Selection
✨Know Your Python Inside Out
Since the role heavily relies on Python for risk modelling, make sure you brush up on your coding skills. Be prepared to discuss specific projects where you've used Python, and maybe even solve a coding challenge during the interview.
✨Understand Investment Risk Fundamentals
Familiarise yourself with key concepts in investment risk and portfolio construction. You might be asked to explain how different factors affect risk, so having a solid grasp of these principles will help you stand out.
✨Showcase Your Analytical Skills
Prepare to discuss how you've approached data analysis in previous roles. Think of examples where you've identified data quality issues or contributed to model validation, as this will demonstrate your attention to detail and problem-solving abilities.
✨Communicate Clearly and Confidently
You'll need to translate complex outputs into actionable insights for stakeholders. Practice explaining technical concepts in simple terms, as effective communication is key in this role. Consider doing mock interviews to refine your delivery.