391 Risk Management Specialist jobs in the United Kingdom

• Assisting in the identification and assessment of various financial risks, including credit, market, operational, and liquidity risk.
• Developing and maintaining risk models and frameworks to measure and monitor risk exposure.
• Analysing financial data to identify trends, anomalies, and potential risk factors.
• Preparing regular risk reports for senior management and regulatory bodies.
• Monitoring compliance with internal policies, procedures, and external regulations (e.g., Basel Accords).
• Contributing to the development and implementation of risk mitigation strategies.
• Performing stress testing and scenario analysis to evaluate the bank's resilience to adverse market conditions.
• Collaborating with other departments, such as finance, treasury, and operations, to embed risk management practices.
• Keeping abreast of changes in the regulatory landscape and industry best practices in risk management.
• Utilising risk management software and data analysis tools effectively.
• Supporting internal and external audits related to risk management functions.
• Providing training and guidance to staff on risk-related matters.

Your new company
Global (Re)insurer (confidential)

Your new role
The role sits within the Risk & Compliance function and reports directly to the CRO, where you'll oversee the effective operation of the company's management of key financial risks relating to capital, liquidity, reserves/technical provisions, investments, pricing, reinsurance etc.

What you'll need to succeed
It's a great fit for someone with ideally 5+ years' work experience, from an actuarial background, who's looking to step into a strategic leadership role with real influence across the business.

Previous knowledge of financial risk management methods and principles is essential, but they are flexible regarding the candidate's background, so they could be from either a non-life or life background.

What you'll get in return
They can offer a competitive base salary of up to c. £85k (DoE) with excellent benefits and bonus.
Flexible working options available.

What you need to do now
If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.
If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career.

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Are you ready to lead the next generation of AI-powered forensic analytics?

Have you helped major banks and regulators make data-driven decisions under pressure?

Do you want to shape how one of the Big 4 embeds GenAI into global risk and compliance functions?

We’re working with a global consultancy expanding its Forensic Data Analytics practice in London. This team combines deep forensic expertise with cutting-edge AI and data engineering to tackle challenges in fraud, financial crime, and regulatory compliance for the world’s largest financial institutions.

As a Senior Manager , you’ll drive AI-enabled investigations and automation programmes across financial services—bridging strategy, technical delivery, and commercial growth. You’ll join a high-performing team of 30, lead complex data projects, and help develop new market-ready AI solutions.

Key Responsibilities

• Lead large, AI-driven forensic engagements across FS clients
• Manage delivery teams (10+) ensuring quality, timeliness, and commercial success
• Build and maintain senior client relationships (C-suite, regulators, legal teams)
• Develop new service offerings using GenAI and automation technologies
• Drive practice growth through proposals, bids, and go-to-market activity

Requirements

• 10+ years’ experience across forensics, financial crime, risk, or compliance
• Strong foundation in data engineering and AI technologies (Python, Azure)
• Proven consulting experience and comfort managing client stakeholders
• Leadership experience mentoring and scaling delivery teams
• Background in financial services (banking, capital markets, insurance)

Key Details

• Location: London (2–3 days/week in office)
• Sponsorship: Available
• Salary: up to £95k + benefits
• Tech Stack: Azure, Python, data engineering, GenAI/LLMs
• Reporting Line: Partner – Forensic Data Analytics

Interested? Please apply below.

Are you ready to lead the next generation of AI-powered forensic analytics?

Have you helped major banks and regulators make data-driven decisions under pressure?

Do you want to shape how one of the Big 4 embeds GenAI into global risk and compliance functions?

We’re working with a global consultancy expanding its Forensic Data Analytics practice in London. This team combines deep forensic expertise with cutting-edge AI and data engineering to tackle challenges in fraud, financial crime, and regulatory compliance for the world’s largest financial institutions.

As a Senior Manager , you’ll drive AI-enabled investigations and automation programmes across financial services—bridging strategy, technical delivery, and commercial growth. You’ll join a high-performing team of 30, lead complex data projects, and help develop new market-ready AI solutions.

Key Responsibilities

• Lead large, AI-driven forensic engagements across FS clients
• Manage delivery teams (10+) ensuring quality, timeliness, and commercial success
• Build and maintain senior client relationships (C-suite, regulators, legal teams)
• Develop new service offerings using GenAI and automation technologies
• Drive practice growth through proposals, bids, and go-to-market activity

Requirements

• 10+ years’ experience across forensics, financial crime, risk, or compliance
• Strong foundation in data engineering and AI technologies (Python, Azure)
• Proven consulting experience and comfort managing client stakeholders
• Leadership experience mentoring and scaling delivery teams
• Background in financial services (banking, capital markets, insurance)

Key Details

• Location: London (2–3 days/week in office)
• Sponsorship: Available
• Salary: up to £95k + benefits
• Tech Stack: Azure, Python, data engineering, GenAI/LLMs
• Reporting Line: Partner – Forensic Data Analytics

Interested? Please apply below.

• Develop, implement, and maintain the bank's financial risk management framework and policies.
• Conduct comprehensive assessments of credit risk, market risk, liquidity risk, and operational risk exposures.
• Monitor and analyze key risk indicators (KRIs) and key performance indicators (KPIs) to identify emerging risks.
• Prepare detailed risk reports for senior management, the Board of Directors, and regulatory bodies.
• Oversee stress testing and scenario analysis exercises to evaluate the bank's resilience.
• Collaborate with business lines to ensure effective risk mitigation strategies are in place.
• Ensure compliance with relevant regulatory requirements (e.g., Basel Accords, PRA guidelines).
• Stay updated on industry best practices and evolving regulatory landscapes.
• Champion a proactive risk management culture throughout the organization.
• Lead and mentor junior risk analysts.

• Master's degree in Finance, Economics, Mathematics, or a related quantitative field.
• At least 5 years of experience in financial risk management within the banking or financial services sector.
• In-depth knowledge of risk management principles, methodologies, and regulatory requirements.
• Strong analytical and quantitative skills, with experience in statistical analysis and modeling.
• Proficiency in risk management software and tools.
• Excellent communication, presentation, and interpersonal skills.
• Ability to manage multiple priorities and meet tight deadlines.
• Chartered Enterprise Risk Analyst (CERA) or equivalent professional qualification is a plus.
• Experience with data visualization tools.

• Conduct comprehensive risk assessments, including market risk, credit risk, operational risk, and liquidity risk.
• Develop, implement, and maintain risk models and methodologies.
• Monitor and analyse risk exposures, identifying potential breaches and emerging threats.
• Prepare detailed risk reports for senior management and regulatory bodies.
• Collaborate with business units to integrate risk management principles into strategic decision-making.
• Stay current with financial regulations (e.g., Basel III/IV, Dodd-Frank) and ensure compliance.
• Develop and deliver training on risk management best practices.
• Evaluate the effectiveness of internal controls and propose enhancements.
• Contribute to the development of stress testing scenarios and contingency plans.
• Utilise quantitative techniques and data analysis to support risk assessments.

• Master's degree in Finance, Economics, Mathematics, Statistics, or a related quantitative field.
• Minimum of 5-7 years of experience in financial risk management within the banking or financial services industry.
• Strong knowledge of financial instruments, capital markets, and risk management frameworks.
• Proficiency in risk modelling software and tools (e.g., MATLAB, R, Python, SQL).
• In-depth understanding of regulatory requirements relevant to financial institutions.
• Excellent analytical, quantitative, and problem-solving skills.
• Strong communication and presentation skills, with the ability to explain complex risk concepts clearly.
• Ability to work independently and manage multiple priorities in a remote environment.
• Relevant professional certifications (e.g., FRM, CFA) are highly advantageous.

• Develop, implement, and maintain models for assessing and quantifying financial risks (market risk, credit risk, liquidity risk, operational risk).
• Analyse financial data to identify emerging risk trends and potential vulnerabilities.
• Prepare comprehensive risk reports for senior management, regulatory bodies, and internal committees.
• Contribute to the development and refinement of risk management policies and procedures.
• Conduct stress testing and scenario analysis to evaluate the firm's resilience to adverse market conditions.
• Monitor regulatory changes and ensure the firm's risk management practices remain compliant with all relevant requirements (e.g., Basel III, Solvency II).
• Collaborate with business units to promote a strong risk culture and provide guidance on risk mitigation strategies.
• Validate risk models and methodologies, ensuring their accuracy and effectiveness.
• Investigate and analyse incidents of operational risk, recommending corrective actions.
• Stay informed about financial market developments and their potential impact on the firm's risk profile.

• Master's degree in Finance, Economics, Mathematics, Statistics, or a related quantitative field.
• Minimum of 5 years of experience in financial risk management, preferably within a banking or investment firm.
• Strong understanding of financial instruments, markets, and risk management principles.
• Proficiency in quantitative analysis techniques and statistical modelling.
• Experience with risk management software and databases.
• Knowledge of regulatory frameworks applicable to the financial services industry.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong written and verbal communication skills, with the ability to present complex information clearly and concisely.
• Ability to work effectively in a team environment and collaborate across departments.
• Attention to detail and a commitment to accuracy.
• Relevant professional certifications (e.g., FRM, PRM) are a plus.

• Analyze and quantify financial risks, including market risk, credit risk, liquidity risk, and operational risk.
• Develop, implement, and maintain risk models and quantitative tools.
• Conduct regular stress testing and scenario analysis to assess portfolio resilience.
• Monitor and report on key risk exposures and compliance with risk limits.
• Identify emerging risks and recommend appropriate mitigation strategies.
• Contribute to the development and enhancement of risk management policies and procedures.
• Collaborate with business units to embed a strong risk culture and promote best practices.
• Prepare comprehensive risk reports for senior management and regulatory bodies.
• Stay current with financial regulations and industry best practices in risk management.
• Mentor junior analysts and contribute to team development.

• Bachelor's or Master's degree in Finance, Economics, Mathematics, Statistics, or a related quantitative field.
• Proven experience (5+ years) in financial risk management within the banking or financial services sector.
• Strong understanding of financial instruments, markets, and risk management frameworks (e.g., Basel Accords).
• Proficiency in quantitative analysis, statistical modeling, and data analysis tools (e.g., Python, R, SQL, Excel).
• Experience with risk management software and platforms.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong written and verbal communication skills, with the ability to present complex information clearly.
• Ability to work effectively in a hybrid work environment.