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- Tasks: Drive risk transformation programs and collaborate with tech teams in investment banking.
- Company: Leading investment bank with a focus on innovation and technology.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Join a dynamic team and enhance your career in a fast-paced environment.
- Why this job: Make a real impact in the financial sector while working with cutting-edge technology.
- Qualifications: 7+ years as a Business Analyst with strong skills in Market Risk or CCR.
The predicted salary is between 80000 - 100000 £ per year.
We are looking for a Business Analyst with strong experience in Market Risk or Counterparty Credit Risk (CCR), supporting large-scale technology change and transformation programs within investment banking. The role requires a blend of functional risk knowledge, data analysis and technical understanding (including Python).
Experience: 7–12 years (depending on depth of domain + program exposure). Note: Candidates must have worked on regulatory or large-scale risk transformation programs (not BAU reporting roles).
Key Responsibilities:
- Work on risk transformation programs (Market Risk / CCR / FRTB) across technology and business teams.
- Gather and document business and functional requirements for risk systems and reporting.
- Translate requirements into detailed functional specifications and data mappings.
- Perform data analysis and validation using SQL / Python for risk and trade datasets.
- Support implementation of regulatory changes (e.g., FRTB) across systems and processes.
- Collaborate with technology teams, quants and stakeholders to drive delivery.
- Participate in UAT, testing and validation of risk calculations and outputs.
- Ensure alignment across front office, risk and IT systems.
Must-Have Skills:
- Strong experience as a Business Analyst in Capital Markets / Investment Banking.
- Strong exposure to Market Risk or CCR.
- FRTB or regulatory risk frameworks.
- Strong data analysis skills (SQL mandatory).
- Working knowledge of Python for data analysis / validation.
- Experience in large-scale tech change / transformation programs.
- Strong requirement gathering, documentation and stakeholder management skills.
Domain Experience (Critical):
- Hands-on experience in Market Risk (VaR, sensitivities, stress testing) OR CCR (exposure calculation, derivatives, counterparty risk).
- Understanding of trade lifecycle and risk data flows.
- Financial products: Derivatives (swaps, options, futures), bonds.
Good-to-Have:
- Experience working with risk systems / platforms.
- Exposure to data lineage, reconciliation and controls.
- Experience working with quants / model teams.
- Familiarity with Agile delivery models.
- Basic understanding of data architecture or APIs.
Business Analyst Full Time Permanent employer: N Consulting Global
Contact Detail:
N Consulting Global Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Business Analyst Full Time Permanent
✨Tip Number 1
Network like a pro! Reach out to your connections in the investment banking sector, especially those who work in risk transformation. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Prepare for interviews by brushing up on your technical skills. Since you’ll need to demonstrate your data analysis prowess with SQL and Python, practice some real-world scenarios that might come up during the interview.
✨Tip Number 3
Showcase your experience with regulatory changes and large-scale tech transformations. Be ready to discuss specific projects where you’ve made an impact, as this will set you apart from other candidates.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Business Analyst Full Time Permanent
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to highlight your experience in Market Risk or Counterparty Credit Risk. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects and achievements!
Showcase Your Technical Skills: Since this role requires a blend of data analysis and technical understanding, be sure to mention your proficiency in SQL and Python. We love seeing candidates who can demonstrate their technical chops through real-world examples.
Highlight Your Experience with Transformation Programs: We’re looking for someone who has been involved in large-scale technology change. Make sure to detail your experience with risk transformation programs and any regulatory changes you’ve supported. This will help us see your fit for the role!
Apply Through Our Website: Don’t forget to apply 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 you’re keen on joining the StudySmarter team!
How to prepare for a job interview at N Consulting Global
✨Know Your Risk Frameworks
Make sure you brush up on your knowledge of Market Risk and Counterparty Credit Risk, especially FRTB. Be ready to discuss how you've applied these frameworks in past projects, as this will show your depth of understanding and relevance to the role.
✨Showcase Your Data Skills
Since strong data analysis skills are a must, prepare to demonstrate your proficiency in SQL and Python. Bring examples of how you've used these tools for data validation or analysis in previous roles, and be ready to tackle any technical questions they might throw your way.
✨Prepare for Requirement Gathering
Think about your experience in gathering and documenting business and functional requirements. Have specific examples ready that highlight your stakeholder management skills and how you translated complex requirements into actionable specifications.
✨Collaboration is Key
This role involves working closely with technology teams and quants, so be prepared to discuss your collaborative experiences. Share stories that illustrate how you've successfully driven delivery in cross-functional teams, especially in large-scale transformation programmes.