17 Risk Assessment jobs in Reading
Senior Risk Management Engineer
Posted today
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Senior Risk Management Engineer
Posted 4 days ago
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Job Description
Rapidly growing MedTech which is transforming radiation therapy for cancer patients, helping to make it more accurate, effective and comfortable. Technology that uses advanced 3D cameras to track surface data, for more guidance across every step of the radiotherapy workflow.
With around 300 employees globally, and offices in the UK, Poland & the USA. Staff members have the security and reach that comes with being part of a large global enterprise, combined with the freedom and agility of a startup.
This is a company with strong values, a clear mission and a bright future. It’s an exciting and rewarding place to work.
About the role:
This role sits with the compliance team and involves creating and maintaining Risk Management files for medical devices, including pre and post-market risk analysis in an agile landscape.
As a Senior Risk Management Engineer, you will play a critical role in ensuring the safety and compliance of our medical devices throughout their lifecycle.
Key Responsibilities will include:
- Leading the creation, maintenance, and continuous improvement of comprehensive Risk Management Files in accordance with ISO 14971, including:
- Risk Management Plans
- Hazard Analyses
- Risk Registers
- Benefit-risk Analysis
- Risk Traceability Matrices
- Change Control and Anomaly Risk Reviews
- Final Risk Management Reports
- Driving risk assessments for design changes, ensuring appropriate risk controls are identified and implemented.
- Defining and reviewing risk control measures as design inputs, collaborating closely with systems, software, and hardware teams.
- Leading anomaly review boards, assigning severity scores, and ensuring timely risk mitigation strategies are in place.
- Conducting in-depth risk reviews of post-market surveillance data, including complaints, field performance, and adverse event reports, to identify trends and initiate corrective actions.
- Supporting regulatory submissions and audits by ensuring risk documentation is inspection-ready and aligned with global regulatory expectations.
- Contributing to the development and refinement of internal risk management processes and tools.
- Occasional UK and international travel may be required.
Essential Skills & Experience
- Proven experience (typically 5+ years) in risk management for medical devices, ideally in a regulated Class II or III environment.
- Deep, practical knowledge of ISO 14971 and ISO/TR 24971, with a track record of applying these standards across the product lifecycle.
- Strong understanding of IEC 62304 (software lifecycle) and ideally IEC 60601 (electrical safety).
- Demonstrated experience in post-market risk analysis, including trend analysis and risk re-evaluation based on real-world data.
- Proficiency with application lifecycle management (ALM) tools such as Polarion, MatrixALM, DOORS, or Enterprise Architect.
- Strong analytical and organizational skills, with the ability to manage multiple priorities and deadlines.
- Excellent communication skills, including the ability to present complex risk concepts to cross-functional teams and senior stakeholders.
- Comfortable working in a global, cross-functional environment, with a collaborative and proactive mindset.
- Proficient in Microsoft Office tools (Word, Excel, PowerPoint, Outlook).
- Fluent in written and spoken English.
Desirable Skills & Experience
- Familiarity with additional standards such as: IEC 62366-1 (Usability Engineering) & IEC 60601-1-2 (EMC).
- Experience working in Agile development environments.
- Prior involvement in regulatory inspections or audits (e.g., FDA, Notified Bodies).
Quantitative Analyst - Risk Management
Posted 8 days ago
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Job Description
Senior Risk Management Engineer
Posted today
Job Viewed
Job Description
Rapidly growing MedTech which is transforming radiation therapy for cancer patients, helping to make it more accurate, effective and comfortable. Technology that uses advanced 3D cameras to track surface data, for more guidance across every step of the radiotherapy workflow.
With around 300 employees globally, and offices in the UK, Poland & the USA. Staff members have the security and reach that comes with being part of a large global enterprise, combined with the freedom and agility of a startup.
This is a company with strong values, a clear mission and a bright future. It’s an exciting and rewarding place to work.
About the role:
This role sits with the compliance team and involves creating and maintaining Risk Management files for medical devices, including pre and post-market risk analysis in an agile landscape.
As a Senior Risk Management Engineer, you will play a critical role in ensuring the safety and compliance of our medical devices throughout their lifecycle.
Key Responsibilities will include:
- Leading the creation, maintenance, and continuous improvement of comprehensive Risk Management Files in accordance with ISO 14971, including:
- Risk Management Plans
- Hazard Analyses
- Risk Registers
- Benefit-risk Analysis
- Risk Traceability Matrices
- Change Control and Anomaly Risk Reviews
- Final Risk Management Reports
- Driving risk assessments for design changes, ensuring appropriate risk controls are identified and implemented.
- Defining and reviewing risk control measures as design inputs, collaborating closely with systems, software, and hardware teams.
- Leading anomaly review boards, assigning severity scores, and ensuring timely risk mitigation strategies are in place.
- Conducting in-depth risk reviews of post-market surveillance data, including complaints, field performance, and adverse event reports, to identify trends and initiate corrective actions.
- Supporting regulatory submissions and audits by ensuring risk documentation is inspection-ready and aligned with global regulatory expectations.
- Contributing to the development and refinement of internal risk management processes and tools.
- Occasional UK and international travel may be required.
Essential Skills & Experience
- Proven experience (typically 5+ years) in risk management for medical devices, ideally in a regulated Class II or III environment.
- Deep, practical knowledge of ISO 14971 and ISO/TR 24971, with a track record of applying these standards across the product lifecycle.
- Strong understanding of IEC 62304 (software lifecycle) and ideally IEC 60601 (electrical safety).
- Demonstrated experience in post-market risk analysis, including trend analysis and risk re-evaluation based on real-world data.
- Proficiency with application lifecycle management (ALM) tools such as Polarion, MatrixALM, DOORS, or Enterprise Architect.
- Strong analytical and organizational skills, with the ability to manage multiple priorities and deadlines.
- Excellent communication skills, including the ability to present complex risk concepts to cross-functional teams and senior stakeholders.
- Comfortable working in a global, cross-functional environment, with a collaborative and proactive mindset.
- Proficient in Microsoft Office tools (Word, Excel, PowerPoint, Outlook).
- Fluent in written and spoken English.
Desirable Skills & Experience
- Familiarity with additional standards such as: IEC 62366-1 (Usability Engineering) & IEC 60601-1-2 (EMC).
- Experience working in Agile development environments.
- Prior involvement in regulatory inspections or audits (e.g., FDA, Notified Bodies).
Senior Actuarial Analyst (Risk Management)
Posted 6 days ago
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Job Description
Key Responsibilities:
- Develop, implement, and maintain actuarial models for pricing, reserving, and capital management.
- Conduct complex analyses of insurance data to identify trends, risks, and opportunities.
- Perform profitability studies and scenario testing to assess the impact of various market conditions.
- Support the development of new insurance products by providing actuarial insights and pricing recommendations.
- Ensure compliance with regulatory requirements (e.g., Solvency II) and industry best practices.
- Collaborate with underwriting, claims, and finance departments to provide actuarial support and guidance.
- Prepare clear and concise actuarial reports and presentations for management and regulatory bodies.
- Mentor and guide junior actuaries and analysts, fostering their technical and professional development.
- Stay abreast of advancements in actuarial techniques, software, and regulatory changes.
- Contribute to the continuous improvement of actuarial processes and methodologies.
Qualifications:
- Fully qualified Actuary (FIA, FPA, or equivalent).
- Minimum of 5 years of post-qualification experience in the insurance industry, with a focus on risk management or reserving.
- Proven experience in developing and validating complex actuarial models using software such as R, Python, or SAS.
- Strong understanding of insurance products, underwriting, and claims processes.
- Excellent analytical, problem-solving, and quantitative skills.
- Proficiency in data analysis and statistical modeling techniques.
- Exceptional communication and interpersonal skills, with the ability to explain complex technical concepts to non-technical audiences.
- Strong project management abilities and the capacity to work independently.
- Demonstrated ability to work effectively in a remote, collaborative team environment.
- Commitment to professional development and staying current with actuarial standards.
This is an exceptional opportunity for a Senior Actuarial Analyst to make a significant impact within a reputable insurance firm, enjoying the benefits of a fully remote working arrangement. Our client is committed to fostering a high-performance culture and providing opportunities for professional growth.
Senior Quantitative Analyst - Risk Management
Posted 9 days ago
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Job Description
Responsibilities:
- Develop, implement, and maintain quantitative models for risk management (market, credit, operational).
- Perform rigorous back-testing and validation of risk models.
- Conduct stress testing and scenario analysis to assess potential impacts.
- Contribute to regulatory reporting and compliance efforts.
- Collaborate with business stakeholders to understand risk exposures and needs.
- Analyze financial data and identify trends and anomalies.
- Provide quantitative support and insights to trading and portfolio management teams.
- Document model methodologies, assumptions, and limitations thoroughly.
- Stay updated on the latest developments in quantitative finance and risk management techniques.
- Mentor junior analysts and contribute to team development.
- Ensure adherence to internal policies and external regulations.
- Master's or Ph.D. in a quantitative field such as Finance, Mathematics, Statistics, Physics, or Computer Science.
- Significant experience as a Quantitative Analyst in the financial services industry.
- Proven expertise in developing and validating risk models.
- Proficiency in programming languages like Python, R, C++, or MATLAB.
- Strong understanding of financial markets, instruments, and risk management principles.
- Knowledge of regulatory frameworks (e.g., Basel III) is advantageous.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills.
Senior Quantitative Analyst (Risk Management)
Posted 13 days ago
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Job Description
Key Responsibilities:
- Develop, calibrate, and validate quantitative models for various risk types (market risk, credit risk, operational risk).
- Implement models using programming languages such as Python, R, or C++.
- Analyze large datasets to identify trends, patterns, and potential risks.
- Contribute to the design and enhancement of risk reporting frameworks and dashboards.
- Ensure model compliance with regulatory requirements (e.g., Basel III/IV, FRTB).
- Perform sensitivity analysis and stress testing of models.
- Collaborate with business units, IT, and compliance teams to understand risk drivers and implement effective risk mitigation strategies.
- Document model methodologies, assumptions, and limitations clearly and concisely.
- Stay updated with the latest academic research and industry best practices in quantitative finance and risk management.
- Mentor junior analysts and provide technical guidance.
- Present findings and model validation results to senior management and regulatory bodies.
Qualifications:
- Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Economics, Physics, or Financial Engineering.
- A minimum of 5 years of relevant experience in quantitative analysis, risk management, or financial modeling within the banking or financial services sector.
- Strong proficiency in at least one programming language (Python, R, C++).
- Experience with financial modeling libraries and statistical packages.
- Solid understanding of financial instruments, market dynamics, and risk management principles.
- Familiarity with regulatory frameworks governing financial institutions.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain complex concepts to non-technical audiences.
- Ability to work independently and manage multiple priorities in a remote setting.
- This is a remote-first position, open to candidates across the UK.
This is an exceptional opportunity for a talented quant to make a significant impact in a challenging and rewarding environment.
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Senior Quantitative Analyst (Risk Management)
Posted 13 days ago
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Job Description
Key responsibilities include designing and coding complex quantitative models using languages such as Python, R, or C++. You will conduct rigorous back-testing and stress-testing of models, ensuring their accuracy and robustness. This role involves performing in-depth statistical analysis of large datasets to identify trends, correlations, and potential risk exposures. You will also be responsible for documenting model specifications, assumptions, and validation processes in detail, adhering to strict internal and external audit requirements.
The ideal candidate will hold a Master's degree or PhD in a quantitative field such as Mathematics, Statistics, Physics, or Financial Engineering, coupled with at least 5 years of relevant experience in quantitative finance, preferably within risk management. Proven expertise in statistical modeling, time-series analysis, econometrics, and machine learning techniques is essential. Strong programming skills in Python, R, or C++ are required, along with experience using financial databases and libraries. Excellent analytical, problem-solving, and communication skills are critical for translating complex quantitative concepts into actionable insights for business stakeholders.
This remote opportunity offers the flexibility to work from any location while contributing to high-impact projects within a globally recognized financial institution. You will work collaboratively with trading desks, risk management committees, and regulatory bodies. If you are a highly analytical and results-driven individual with a passion for financial markets and cutting-edge quantitative techniques, we invite you to apply. This role provides an excellent platform for professional growth and career advancement in a dynamic and challenging field.
Head of Investment Risk Management
Posted 13 days ago
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Job Description
- Developing, implementing, and maintaining the firm's investment risk management framework and policies.
- Leading the analysis and assessment of market risk, credit risk, liquidity risk, and operational risk associated with investment activities.
- Establishing and monitoring risk limits and ensuring compliance with internal policies and external regulations.
- Producing comprehensive risk reports for senior management, the risk committee, and regulatory bodies.
- Managing and mentoring a team of investment risk professionals.
- Conducting stress testing and scenario analysis to evaluate portfolio resilience under adverse market conditions.
- Collaborating with portfolio managers and traders to ensure risk considerations are integrated into investment decisions.
- Staying informed about evolving regulatory landscapes (e.g., Basel III/IV, Solvency II) and their impact on investment risk.
- Acting as a key point of contact for regulators on investment risk matters.
Qualifications:
- Advanced degree (Master's or PhD) in Finance, Economics, Mathematics, or a related quantitative field.
- 10+ years of experience in investment risk management, with a significant portion in a leadership role.
- Proven expertise in quantitative risk modeling, VaR, CVA, XVA, and other risk metrics.
- In-depth knowledge of financial instruments, derivatives, and fixed income/equity markets.
- Strong understanding of regulatory frameworks relevant to investment firms.
- Excellent analytical, strategic thinking, and decision-making abilities.
- Exceptional leadership and communication skills, with the ability to convey complex risk concepts clearly.
- FRM, PRM, or CFA qualifications are highly desirable.
- This role operates on a hybrid model, requiring regular presence at our Oxford office for collaborative sessions and strategic meetings.
Senior Quantitative Analyst (Risk Management)
Posted 14 days ago
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Key responsibilities include:
- Developing, validating, and implementing quantitative models for market risk, credit risk, and operational risk.
- Performing complex data analysis using statistical software and programming languages (e.g., Python, R, C++).
- Assisting in the design and back-testing of trading strategies and investment portfolios from a risk perspective.
- Contributing to regulatory compliance by ensuring models meet the requirements of bodies like the PRA, FCA, and Basel Committee.
- Collaborating closely with traders, portfolio managers, and other business units to understand their risk management needs and provide quantitative solutions.
- Building and maintaining risk reporting tools and dashboards for senior management.
- Researching and evaluating new analytical methodologies and technologies to enhance risk assessment capabilities.
- Performing sensitivity analyses and stress testing on portfolios and models.
- Documenting model methodologies, assumptions, and limitations thoroughly.
- Providing quantitative support for ad-hoc research projects and business initiatives.
- Mentoring junior quantitative analysts and contributing to the team's overall technical expertise.
The ideal candidate will possess a Master's degree or PhD in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering. Proven experience (5+ years) in quantitative finance, risk management, or a related field is essential. A strong understanding of financial markets, derivatives, and risk modelling techniques is required. Proficiency in programming languages such as Python, R, C++, and SQL is mandatory. Experience with large-scale data manipulation and big data technologies is highly desirable. Excellent analytical, problem-solving, and communication skills are crucial. The ability to work independently, manage multiple priorities, and thrive in a collaborative remote setting is paramount. Familiarity with machine learning techniques applied to finance is a plus. You must be comfortable working autonomously and proactively driving projects forward, with excellent virtual communication skills.