FS Risk, Regulatory & Data Analytics Experienced Professional

Description

The company's Financial Services practice advises leading banks on risk, regulatory, data governance and data-driven transformation programmes.

The work mixes structured problem solving, hands-on data analysis and implementation support in heavily regulated settings.

You will help clients move regulatory and risk change from analysis into working delivery, with impact that is visible now and over time.

Responsibilities

• Help design and run end-to-end risk and regulatory transformation programmes for banking clients.
• Turn regulatory, supervisory, audit and business requirements into structured analyses, action plans, controls and implementation roadmaps.
• Contribute to data governance, data quality and risk reporting frameworks, covering roles, processes, controls, critical data elements and reporting requirements.
• Work on banking areas such as credit risk, NPE/NPL, IFRS 9, risk appetite, risk reporting and regulatory remediation.
• Support BCBS 239 and RDARR initiatives on risk data aggregation, reporting processes, data controls, accuracy, completeness and timeliness.
• Work with Risk, Finance, IT, Data and business teams to take projects from requirements and analysis to practical delivery.
• Prepare concise, high-quality presentations, reports and executive materials for senior management and steering committees.
• Analyse data in Excel and SQL.
• Work with business and technical teams to turn regulatory and reporting needs into clear data requirements and testable acceptance criteria.

Requirements

• At least 3 years of relevant professional experience in banking, consulting or financial services.
• Own analyses and defined deliverables, coordinate with client teams and help workstreams deliver to a high standard.
• Solid grasp of banking fundamentals, risk management and the European regulatory environment, including ECB, EBA and SREP expectations.
• Practical exposure to at least one of: risk and regulatory transformation, data governance, data quality, risk reporting, audit or supervisory remediation, or BCBS 239 / RDARR.
• Strong analytical skills and confidence with data, including structuring analyses, challenging outputs and drawing practical conclusions.
• Able to break complex topics into clear deliverables and explain them to both business and technical stakeholders.
• Strong written and verbal communication, including executive-level storytelling and slide writing.
• Structured, pragmatic and collaborative, with close attention to detail and a strong sense of ownership.
• Advantage: hands-on work with data analysis, profiling, reconciliations, data quality controls, dashboards or regulatory reporting datasets.
• Advantage: experience implementing or operating Risk, Data Governance or RDARR / BCBS 239 frameworks.
• Advantage: familiarity with data lineage, metadata, CDEs, issue management, control testing or remediation tracking.
• Advantage: experience coordinating workstreams, reviewing team output or supporting client and senior stakeholder discussions.
• Advantage: exposure to Power BI, Python or similar analytics tools.

Conditions

Hybrid working model.

Collaborative office spaces are available for in-person work.

Every applicant is acknowledged and handled with strict confidentiality.

Benefits

• The company describes its package as competitive.
• Local and global career opportunities.
• Continuous learning and professional certifications.
• Extra leave days and wellness initiatives.
• An inclusive team where your contribution is valued.