At a Glance
- Tasks: Lead data science and risk analytics for a major banking organisation in Edinburgh.
- Company: Join a leading banking institution at the heart of Europe's financial services.
- Benefits: Hybrid working, competitive salary, and opportunities for professional growth.
- Other info: Opportunity to build and lead a talented team while modernising risk data architecture.
- Why this job: Make a significant impact on credit risk and regulatory reporting in a dynamic environment.
- Qualifications: Director-level experience in data science, risk modelling, and regulatory compliance.
The predicted salary is between 63000 - 77000 £ per year.
We are conducting a confidential search for a Head of Data & Risk Analytics to lead the data science and quantitative risk function for a banking organisation based in Edinburgh, working hybrid. Edinburgh remains one of Europe's deepest banking and financial services centres, and this is a director-level opportunity for a leader who can sit at the intersection of data science, credit risk, and regulatory reporting.
In this role, you will:
- Own the roadmap for credit risk and IRB model development.
- Lead the build-out of data pipelines and feature infrastructure feeding capital and provisioning models.
- Direct model performance monitoring and back-testing across the risk model estate.
- Work closely with the CRO's office on Basel III/IV capital calculations, IFRS 9 provisioning, and PRA regulatory reporting, ensuring model methodology and documentation meet supervisory expectations.
- Build and lead a team of data scientists, quantitative analysts, and risk modellers.
- Present model risk and portfolio analytics to the Board Risk Committee.
- Champion responsible use of machine learning within a heavily regulated model risk governance framework (SS1/23, SR 11-7 equivalents).
- Drive the modernisation of the bank's risk data architecture and stress-testing infrastructure.
Nice to Have:
- Experience with PRA/FCA regulatory engagement on model risk or capital models.
- Background in IRB credit risk model development and validation.
- Advanced degree in a quantitative discipline (Statistics, Econometrics, Mathematics).
- Experience modernising legacy risk data infrastructure onto cloud platforms.
- Track record presenting to board-level risk committees.
Head of Data & Risk Analytics — Banking employer: Scovai
As a leading banking organisation in Edinburgh, we pride ourselves on fostering a dynamic work culture that champions innovation and collaboration. Our commitment to employee growth is evident through tailored development programmes and opportunities to engage with senior leadership, ensuring that our team members thrive in their careers while contributing to impactful projects in the financial sector. With a hybrid working model and a focus on modernising risk analytics, we offer a unique environment where data-driven insights shape the future of banking.
StudySmarter Expert Advice🤫
We think this is how you could land Head of Data & Risk Analytics — Banking
✨Tap into Campus Networks
If you're still in uni, don’t forget to engage with your campus's career services and attend finance-related events. Banks often do presentations and recruitment drives on campus, so put yourself out there and make use of these opportunities to show off your passion for the field.
✨Get Certified
Consider pursuing relevant certifications like the CFA or ACCA while you’re job hunting. They not only beef up your CV but also connect you with professional bodies which can lead to networking opportunities and even job openings in banking and financial services.
✨Connect on Professional Platforms
Join finance-focused groups on platforms like LinkedIn and engage in discussions. This can really help you stand out from the crowd, allowing potential employers to see your knowledge and interest in industry trends. Plus, you might stumble upon job postings shared exclusively within the group.
✨Apply Directly and Be Proactive
Don’t shy away from reaching out directly to firms like Scovai. Use their websites and apply through them, but also consider following up with a polite email to express your enthusiasm. Being proactive can make a huge difference in getting noticed in the competitive financial services sector.
We think you need these skills to ace Head of Data & Risk Analytics — Banking
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 Scovai.
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 Scovai'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 Scovai
✨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 Scovai.
✨Prepare for Case Studies
Expect to tackle case studies that demonstrate your problem-solving skills in real-world banking scenarios. Familiarise yourself with the types of problems you might face—think risk assessments or investment evaluations—and be ready to articulate your thought process clearly.
✨Show Your Passion for Finance
Since this is a full-time position, employers at Scovai will be keen to see your genuine interest in finance. Be prepared to discuss recent industry trends or news articles that excite you, showcasing your enthusiasm and engagement with the field.
✨Network with Industry Professionals
Before your interview, reach out to current or former Scovai 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.
