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- Tasks: Join a dynamic team to leverage AI in managing credit and market risk.
- Company: Leading bank with a focus on innovation and strategic growth.
- Benefits: Competitive salary, professional development, and a collaborative work environment.
- Why this job: Make an impact by integrating cutting-edge AI technologies into financial risk management.
- Qualifications: Bachelor’s degree in a quantitative field and programming skills in SQL, Python, or R.
- Other info: Opportunity to shape the future of risk management in a data-driven culture.
The predicted salary is between 36000 - 60000 £ per year.
About the Issuer and Underwriting Risk Unit: The Issuer and Underwriting Risk unit sits within the Corporate & Investment Banking (CIB) Risk division and holds global responsibility for the evaluation, management, and oversight of credit and market risk related to issuer exposures and primary market underwriting activities. Its scope covers the end-to-end risk lifecycle—ranging from initial risk appetite definition through transaction structuring, sanctioning, portfolio monitoring, and regulatory reporting. The unit oversees dynamic and high-impact portfolios with exposures exceeding EUR 20 billion, including syndicated loans, bilateral lending, and capital markets underwriting of bonds and other debt instruments. It plays a strategic role in safeguarding the bank's balance sheet while enabling business growth across geographies, leveraging real-time risk analytics, policy frameworks, and cross-functional coordination with trading, origination, and legal teams.
About the role: As part of our ongoing strategic transformation, we are seeking a high-performing Associate to join the vibrant Issuer and Underwriting Risk unit, a team responsible for managing and monitoring market and credit risk in complex, dynamic environments. The successful candidate will play a key role in enabling the organization to achieve a quantum leap in extracting value from its Data and AI platforms, including GPT and Gemini. This is a cross-functional role with the opportunity to influence decision-making, risk frameworks, and business efficiency through next-generation AI technologies.
Key Responsibilities:
- Act as a subject matter integrator between AI capabilities (e.g., GPT, Gemini) and business use cases, identifying and deploying impactful applications across credit and market risk domains.
- Translate strategic data and AI initiatives into operational prototypes and scalable tools that enhance underwriting analysis, issuer monitoring, and decision-making processes.
- Collaborate closely with data scientists, engineers, risk analysts, and business stakeholders to shape and deliver AI/ML use cases tailored to portfolio monitoring, stress testing, and risk optimization.
- Provide expert guidance on the selection and adoption of AI tools and methodologies, ensuring alignment with internal risk policies, governance frameworks, and responsible AI principles.
- Contribute to a data-driven culture within the Issuer and Underwriting Risk unit by developing training content, frameworks, and best-practice guides for AI adoption at scale.
- Continuously monitor advancements in generative AI and large language models, assessing their potential application within market and credit risk environments.
- Support the governance and compliance of AI-related initiatives, ensuring transparency, auditability, and adherence to data protection and ethical standards.
What are we looking for?
- Bachelor’s degree in Economics, Mathematics, Engineering, or a related quantitative field.
- Industry Expertise: Strong foundation in Banking, Capital Markets, and Financial Products.
- Technical Skills: Proficiency in programming (SQL, Python, R) with proven experience applying these languages to financial modeling or data analysis.
- Quantitative Skills: Advanced mathematical and analytical proficiency.
Desired Skills:
- Risk Management: Familiarity with Market Risk, Liquidity, and Valuation models.
- Data Analytics: Ability to manage and analyze large datasets (SQL, Big Data environments).
Please note that priority will be given to candidates who are eligible to work in the UK.
Data & AI Enablement - CIB Risk Unit Associate employer: BBVA
Contact Detail:
BBVA Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data & AI Enablement - CIB Risk Unit Associate
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by researching the company and role thoroughly. Understand their risk management strategies and how AI is being integrated into their processes. This will help you stand out as someone who’s genuinely interested and knowledgeable.
✨Tip Number 3
Practice your problem-solving skills! Be ready to tackle case studies or technical questions related to data analysis and risk management. Show them you can think on your feet and apply your knowledge in real-world scenarios.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data & AI Enablement - CIB Risk Unit Associate
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role! Highlight your experience in banking, capital markets, and any relevant technical skills like SQL or Python. We want to see how your background aligns with our needs.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data and AI in risk management. Show us how you can contribute to our team and make an impact in the Issuer and Underwriting Risk unit.
Showcase Your Technical Skills: Don’t just list your programming skills—give us examples of how you've used them in real-world scenarios. Whether it's financial modelling or data analysis, we want to know how you’ve applied your knowledge effectively.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way to ensure your application gets into the right hands and shows us you’re serious about joining our team!
How to prepare for a job interview at BBVA
✨Know Your Data & AI Stuff
Make sure you brush up on your knowledge of AI technologies like GPT and Gemini. Be ready to discuss how these tools can be applied in credit and market risk scenarios. Showing that you understand the intersection of data analytics and risk management will definitely impress the interviewers.
✨Showcase Your Technical Skills
Since this role requires proficiency in programming languages like SQL, Python, and R, be prepared to talk about your experience with these tools. Bring examples of how you've used them in financial modelling or data analysis, as this will demonstrate your hands-on expertise.
✨Understand the Risk Landscape
Familiarise yourself with concepts related to market risk, liquidity, and valuation models. Being able to discuss these topics confidently will show that you have a solid foundation in banking and capital markets, which is crucial for this role.
✨Be Ready to Collaborate
This position involves working closely with various teams, so highlight your teamwork skills. Share examples of past collaborations with data scientists, engineers, or business stakeholders, and how those experiences helped achieve successful outcomes.