16 Risk Management jobs in Portsmouth
Head of Risk Management
Posted 11 days ago
Job Viewed
Job Description
Senior Quantitative Analyst, Risk Management
Posted 2 days ago
Job Viewed
Job Description
Responsibilities:
- Develop, test, and implement quantitative models for market risk, credit risk, and operational risk.
- Perform complex data analysis and statistical modeling.
- Conduct backtesting and validation of risk models.
- Develop and implement stress testing and scenario analysis frameworks.
- Contribute to the development of risk management policies and procedures.
- Collaborate with trading desks and portfolio managers to understand their risk exposures.
- Assist in the preparation of risk reports for senior management and regulatory bodies.
- Stay current with industry best practices and regulatory changes in risk management.
- Automate reporting processes and improve data quality.
- Mentor junior quantitative analysts.
- Master's or PhD in Quantitative Finance, Economics, Mathematics, Statistics, or a related field.
- Minimum of 5 years of experience in quantitative analysis within the financial services industry.
- Strong knowledge of financial markets, derivatives, and risk management techniques.
- Proficiency in programming languages such as Python, R, C++, or MATLAB.
- Experience with statistical modeling software and databases.
- Excellent analytical, problem-solving, and communication skills.
- Understanding of regulatory requirements (e.g., Basel III, Dodd-Frank).
- Ability to work independently and as part of a remote team.
- Strong attention to detail and commitment to accuracy.
- Experience with machine learning techniques applied to finance is a plus.
Senior Quantitative Analyst - Risk Management
Posted 4 days ago
Job Viewed
Job Description
Responsibilities:
- Develop, validate, and implement quantitative models for risk assessment, including VaR, stress testing, and scenario analysis.
- Design and build algorithms for pricing complex financial derivatives and instruments.
- Analyze large datasets to identify trends, patterns, and potential risks.
- Collaborate with trading desks, risk managers, and IT teams to ensure effective model deployment and integration.
- Perform backtesting and sensitivity analysis to validate model performance.
- Develop and maintain robust documentation for all models and methodologies.
- Stay abreast of regulatory requirements (e.g., Basel III/IV, FRTB) and ensure models comply.
- Contribute to the development of risk reporting tools and dashboards.
- Mentor junior quantitative analysts and share technical expertise.
- Proactively identify areas for model enhancement and innovation.
- Communicate complex quantitative concepts to non-technical stakeholders clearly and effectively.
Qualifications:
- Master's or Ph.D. in a quantitative field such as Financial Engineering, Statistics, Mathematics, Physics, or Computer Science.
- Minimum of 5 years of experience in quantitative analysis, risk management, or a related role within the financial services industry.
- Expertise in programming languages commonly used in quant finance (e.g., Python, C++, R, SQL).
- Strong knowledge of financial markets, derivatives, and risk management principles.
- Proficiency in statistical modeling, econometrics, and machine learning techniques.
- Experience with risk modeling frameworks and regulatory requirements is highly desirable.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and interpersonal skills, with the ability to articulate complex ideas.
- Ability to work independently and manage multiple projects in a remote environment.
This is an exceptional opportunity for a seasoned quant professional seeking a challenging remote role with significant impact. The position is conceptually located in Portsmouth, Hampshire, UK , but operates entirely remotely.
Head of Underwriting Risk Management
Posted 5 days ago
Job Viewed
Job Description
Responsibilities:
- Develop, implement, and maintain a comprehensive underwriting risk management framework for the organization.
- Lead the identification, assessment, and quantification of underwriting risks across all product lines.
- Establish and monitor key risk indicators (KRIs) and implement appropriate controls and mitigation strategies.
- Ensure compliance with relevant regulatory requirements, including Solvency II and other applicable frameworks.
- Provide expert advice and guidance to underwriting teams and senior management on risk appetite and tolerance.
- Develop and manage the underwriting risk capital model and stress testing scenarios.
- Lead and mentor a team of underwriting risk specialists, fostering a culture of risk awareness and excellence.
- Collaborate with actuarial, compliance, and internal audit functions to ensure integrated risk management.
- Prepare regular reports for the Board and senior management on the underwriting risk profile and mitigation plans.
- Contribute to the development of new insurance products by assessing inherent risks.
- Master's degree in Actuarial Science, Finance, Mathematics, or a related quantitative field.
- Significant professional experience (10+ years) in insurance risk management, with a strong focus on underwriting risk.
- Deep understanding of insurance products, underwriting practices, and market dynamics.
- Extensive knowledge of regulatory frameworks such as Solvency II.
- Proven experience in developing and implementing risk management frameworks and policies.
- Strong analytical and quantitative skills, with proficiency in risk modeling and statistical analysis.
- Excellent leadership, communication, and stakeholder management abilities.
- Chartered Enterprise Risk Analyst (CERA) or equivalent qualification is highly desirable.
- Experience managing teams and projects in a remote work environment.
- Strategic thinker with a proactive approach to identifying and mitigating emerging risks.
Senior Quantitative Analyst - Risk Management
Posted 6 days ago
Job Viewed
Job Description
Senior Quantitative Analyst - Risk Management
Posted 6 days ago
Job Viewed
Job Description
Key Responsibilities:
- Develop, implement, and maintain quantitative models for risk assessment and management.
- Conduct rigorous model validation, back-testing, and performance analysis.
- Analyse large datasets to identify risk exposures and trends.
- Design and execute scenario analyses and stress tests.
- Develop and implement new methodologies for risk measurement.
- Collaborate with various business units to understand their risk profiles and needs.
- Prepare comprehensive reports and presentations for senior management and regulatory agencies.
- Ensure compliance with relevant financial regulations and internal policies.
- Stay abreast of market developments and advancements in quantitative finance.
- Mentor junior analysts and contribute to the team's technical growth.
Qualifications and Skills:
- Master's or Ph.D. in a quantitative discipline such as Finance, Mathematics, Statistics, Physics, or Economics.
- Significant experience in quantitative finance, risk management, or asset pricing.
- Proficiency in programming languages like Python, R, C++, or Java.
- Expertise in statistical modelling, time series analysis, and machine learning techniques.
- Deep understanding of financial markets, instruments, and risk management principles.
- Experience with financial databases (e.g., Bloomberg, Refinitiv) is a plus.
- Strong analytical, problem-solving, and critical thinking skills.
- Excellent written and verbal communication skills, with the ability to explain complex concepts clearly.
- Familiarity with regulatory frameworks such as Basel III or Solvency II is advantageous.
- Ability to work independently and manage complex projects.
Senior Actuarial Analyst - Risk Management
Posted 10 days ago
Job Viewed
Job Description
Responsibilities:
- Develop, validate, and maintain actuarial models for risk assessment and pricing.
- Analyze insurance data to identify trends, risks, and opportunities.
- Quantify potential financial impacts of various risk scenarios.
- Collaborate with business units to understand their risk exposures and provide actuarial support.
- Prepare reports and presentations on actuarial findings for senior management.
- Ensure compliance with relevant industry regulations and standards.
- Assist in the development of new insurance products and pricing strategies.
- Mentor junior actuarial staff and contribute to team development.
- Continuously improve actuarial methodologies and processes.
- Fellow or Associate of a recognized Actuarial Society (e.g., FIA, FSA, FAS).
- Proven experience as an Actuarial Analyst, with a focus on risk management.
- Strong knowledge of actuarial software and programming languages (e.g., R, Python, SQL).
- Excellent analytical, quantitative, and problem-solving skills.
- Experience with insurance pricing, reserving, and financial modeling.
- Proficiency in data analysis and statistical techniques.
- Strong communication and presentation skills, with the ability to explain complex concepts clearly.
- Ability to work independently and manage multiple priorities in a remote setting.
- Detail-oriented with a high level of accuracy.
Be The First To Know
About the latest Risk management Jobs in Portsmouth !
Senior Quantitative Analyst - Risk Management
Posted 12 days ago
Job Viewed
Job Description
Key responsibilities include designing and building complex financial models using advanced statistical methods and programming languages such as Python, R, or C++. You will conduct rigorous back-testing and sensitivity analysis on existing models, ensuring their accuracy and robustness. The role involves contributing to the development of new risk metrics, pricing methodologies, and hedging strategies. You will work closely with trading desks, portfolio managers, and other front-office teams to provide quantitative insights and support strategic decision-making.
The Senior Quantitative Analyst will also be responsible for researching and implementing cutting-edge quantitative techniques and staying abreast of regulatory developments impacting financial risk management. This includes preparing detailed documentation for models and methodologies, and presenting findings to senior management and regulatory bodies. Collaboration with IT and data teams to ensure efficient data sourcing and model implementation will be a crucial aspect of the role. A strong ability to translate complex quantitative concepts into actionable business insights is essential.
Candidates must possess a Master's or PhD degree in a quantitative discipline such as Mathematics, Statistics, Physics, Engineering, or Computer Science. A minimum of 5 years of experience in a quantitative finance role, preferably within risk management or trading, is required. Proven expertise in statistical modelling, time series analysis, and financial derivatives is essential. Proficiency in programming languages commonly used in quantitative finance is a must. Excellent problem-solving skills, attention to detail, and strong communication abilities are critical for success in this role.
Senior Quantitative Analyst - Risk Management
Posted 16 days ago
Job Viewed
Job Description
You will be instrumental in the design, validation, and ongoing improvement of sophisticated pricing and risk models, ensuring compliance with regulatory requirements and supporting strategic business decisions. This position demands a deep understanding of financial markets, statistical modelling, and programming.
Key responsibilities include:
- Developing, testing, and implementing complex quantitative models for credit risk, market risk, and operational risk.
- Validating existing models to ensure accuracy, robustness, and compliance with regulatory standards (e.g., Basel III/IV, FRTB).
- Performing data analysis and interpretation using large financial datasets.
- Collaborating with trading desks, portfolio managers, and IT teams to integrate models and provide insights.
- Producing clear and concise documentation for models and methodologies.
- Mentoring junior quantitative analysts and contributing to team knowledge sharing.
- Researching and recommending new modelling techniques and technologies.
- Presenting complex findings to senior management and regulatory bodies.
Essential qualifications and skills:
- Advanced degree (MSc or PhD) in a quantitative field such as Mathematics, Statistics, Physics, or Financial Engineering.
- A minimum of 5 years of experience in quantitative finance, risk management, or a related analytical role within the banking or financial services industry.
- Proficiency in programming languages such as Python, C++, R, or similar.
- Strong knowledge of financial instruments, derivatives, and market dynamics.
- Expertise in statistical modelling, time series analysis, and machine learning techniques applied to finance.
- Experience with risk management frameworks and regulatory capital calculations.
- Excellent analytical and problem-solving abilities.
- Strong communication skills, with the ability to articulate technical concepts to non-technical audiences.
- Based in or willing to relocate to Portsmouth, Hampshire, UK .
This role offers a competitive salary, attractive bonus structure, and significant opportunities for professional growth within a leading financial firm.
Senior Quantitative Analyst - Risk Management
Posted 16 days ago
Job Viewed
Job Description
Key responsibilities will include:
- Developing, validating, and implementing sophisticated quantitative models for market risk, credit risk, and operational risk assessment.
- Performing complex data analysis and statistical modelling using programming languages such as Python, R, or MATLAB.
- Contributing to the enhancement of risk measurement methodologies and stress testing frameworks.
- Collaborating with front-office, middle-office, and compliance teams to interpret model outputs and provide risk insights.
- Ensuring model adherence to regulatory standards (e.g., Basel III, FRTB) and internal policies.
- Conducting research on new quantitative techniques and their potential application in risk management.
- Preparing detailed documentation for model development, validation, and implementation processes.
- Presenting complex quantitative findings to senior management and regulatory bodies in a clear and concise manner.
- Assisting in the development and maintenance of risk management systems and tools.
- Mentoring junior analysts and contributing to the overall intellectual capital of the risk team.