18 Analyst Risk jobs in Glasgow
Senior Quantitative Analyst - Risk Management
Posted today
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Job Description
As a remote-first member of the team, you will collaborate closely with portfolio managers, traders, and risk officers across different geographies. Your expertise will be crucial in analyzing complex financial data, building predictive models, and communicating intricate quantitative concepts to both technical and non-technical audiences. The ideal candidate possesses a strong academic record, extensive experience in financial modeling, and a proven ability to drive innovation in quantitative finance.
Key Responsibilities:
- Develop, implement, and maintain advanced quantitative models for credit risk, market risk, operational risk, and regulatory capital calculations (e.g., Basel Accords).
- Validate existing models and algorithms, ensuring their accuracy, robustness, and compliance with regulatory requirements.
- Perform complex data analysis and statistical modeling on large financial datasets.
- Design and implement stress testing scenarios and back-testing procedures for risk models.
- Collaborate with front-office teams to develop pricing models for complex financial instruments.
- Translate business requirements into technical specifications for model development and implementation.
- Communicate model results, limitations, and insights clearly and effectively to senior management, risk committees, and regulatory bodies.
- Stay abreast of the latest advancements in quantitative finance, machine learning, and data science techniques.
- Contribute to the development of risk management frameworks and policies.
- Build and maintain strong relationships with cross-functional teams, including IT, business, and compliance.
- Document models thoroughly, adhering to best practices for reproducibility and auditability.
- Participate in code reviews and contribute to the continuous improvement of the team's analytical tools and processes.
- Effectively manage workload and contribute to team goals in a fully remote work environment.
- Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Economics, Computer Science, or Financial Engineering.
- Minimum of 5 years of experience in quantitative analysis or a related role within the financial services industry, preferably in risk management.
- Proficiency in programming languages such as Python (with libraries like NumPy, SciPy, Pandas), R, C++, or Java.
- Strong understanding of financial derivatives, fixed income, equities, and other asset classes.
- Expertise in statistical modeling, machine learning, time series analysis, and econometrics.
- Experience with financial databases (e.g., Bloomberg, Refinitiv) and data manipulation techniques.
- Excellent analytical, problem-solving, and critical-thinking skills.
- Strong communication and presentation skills, with the ability to explain complex quantitative concepts.
- Proven ability to work independently and manage projects effectively in a remote setting.
- Knowledge of regulatory requirements in banking and finance is highly desirable.
Senior Quantitative Analyst (Risk Management)
Posted 5 days ago
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Job Description
Key Responsibilities:
- Develop, test, and implement quantitative models for risk assessment and management (e.g., VaR, Expected Shortfall, credit scoring, stress testing).
- Validate existing risk models and perform back-testing to ensure accuracy and reliability.
- Analyze large datasets to identify trends, patterns, and potential risks.
- Collaborate with business stakeholders to understand their needs and translate them into quantitative solutions.
- Document model methodologies, assumptions, and limitations thoroughly.
- Prepare reports and presentations on model performance and risk assessments for senior management and regulatory bodies.
- Stay current with the latest developments in quantitative finance, econometrics, and risk management techniques.
- Contribute to the firm's regulatory compliance efforts by ensuring model adherence to relevant frameworks.
- Mentor junior quantitative analysts and provide technical guidance.
- Proactively identify opportunities for model enhancement and process improvement.
The ideal candidate will possess a Master's or PhD degree in a quantitative field such as Mathematics, Statistics, Physics, Economics, or Financial Engineering. A minimum of 5 years of relevant experience in quantitative analysis, preferably within banking or financial services, is required. Strong proficiency in programming languages like Python, R, C++, or MATLAB is essential, along with experience using statistical modeling software. Excellent analytical, problem-solving, and communication skills are paramount. Experience with data manipulation and database technologies is also beneficial. This role requires a blend of theoretical knowledge and practical application to drive effective risk management within a dynamic financial environment.
Senior Quantitative Analyst (Risk Management)
Posted 14 days ago
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Job Description
Key Responsibilities:
- Develop, implement, and maintain quantitative models for pricing, risk measurement, and regulatory compliance (e.g., Basel Accords).
- Perform rigorous back-testing and validation of models to ensure accuracy and robustness.
- Analyze large financial datasets to identify trends, patterns, and potential risks.
- Collaborate with business lines to understand their needs and provide quantitative support.
- Communicate complex quantitative concepts and model results clearly to both technical and non-technical stakeholders.
- Contribute to the development of risk management policies and procedures.
- Stay current with academic research and industry best practices in quantitative finance.
- Assist in regulatory reporting and responses to inquiries from supervisory authorities.
- Develop tools and systems to automate model implementation and monitoring.
- Mentor junior analysts and contribute to team development.
- Identify opportunities for model improvement and innovation.
Qualifications:
- Proven experience as a Quantitative Analyst or in a similar quantitative role within the financial services industry.
- Strong knowledge of financial markets, instruments, and risk management principles.
- Expertise in mathematical modeling, statistical analysis, and stochastic calculus.
- Proficiency in programming languages commonly used in quant finance, such as Python, C++, or R.
- Experience with financial modeling software and libraries.
- Familiarity with regulatory requirements (e.g., Basel III/IV, FRTB) is essential.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong academic background with a Master's or Ph.D. in a quantitative field (e.g., Mathematics, Physics, Statistics, Financial Engineering).
- Exceptional communication and presentation skills.
- Ability to work independently and as part of a team in a fast-paced environment.
This is a challenging and rewarding role for a talented individual looking to advance their career in quantitative finance at a leading financial institution.
Senior Quantitative Analyst - Risk Management
Posted 16 days ago
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Job Description
Responsibilities:
- Develop, implement, and validate quantitative models for market, credit, and operational risk.
- Perform complex statistical analysis on large financial datasets.
- Build and maintain risk management systems and tools.
- Conduct research on new modeling techniques and financial instruments.
- Contribute to regulatory reporting requirements related to risk management.
- Collaborate with trading desks, portfolio managers, and IT teams.
- Assess and quantify financial risks associated with various financial products and strategies.
- Prepare clear and concise reports on model performance and risk exposures.
- Stay current with industry best practices and regulatory changes in quantitative finance and risk management.
- Provide technical expertise and guidance to junior analysts.
- Master's or PhD in Mathematics, Statistics, Physics, Economics, Finance, or a related quantitative field.
- Minimum of 5 years of experience in quantitative finance, risk management, or a similar role within the financial services industry.
- Proven expertise in developing and validating quantitative models.
- Strong programming skills in Python, R, C++, or Java.
- Extensive experience with financial modeling software and databases.
- Deep understanding of financial markets, derivatives, and risk management principles.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong written and verbal communication skills, with the ability to explain complex concepts.
- Ability to work effectively in a collaborative, team-oriented environment.
- Must be legally authorized to work in the UK.
Senior Actuarial Analyst - Risk Modelling
Posted 4 days ago
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Job Description
Key Responsibilities:
- Develop, implement, and maintain complex actuarial models for pricing, reserving, and capital adequacy assessment.
- Conduct thorough validation of existing models and propose enhancements to improve accuracy and efficiency.
- Analyze large datasets to identify trends, patterns, and potential risks within the insurance portfolio.
- Collaborate with underwriting, claims, and finance teams to provide actuarial insights and support business decisions.
- Ensure compliance with regulatory requirements and industry best practices in all modelling activities.
- Prepare clear and concise reports and presentations on model outputs and risk assessments for management and stakeholders.
- Contribute to the development and enhancement of actuarial software and tools.
- Stay abreast of emerging actuarial techniques, regulatory changes, and industry trends.
- Mentor junior analysts and share expertise within the actuarial team.
- Participate in peer reviews and knowledge sharing sessions to foster continuous improvement.
Qualifications:
- A minimum of 5 years of progressive experience in actuarial analysis within the insurance industry.
- Progress towards or completion of actuarial examinations (e.g., FIA, FMI, SOA/CAS) is essential.
- Strong proficiency in actuarial modelling software (e.g., Prophet, GGY Axis, ALFA) and programming languages (e.g., R, Python, SQL).
- Excellent analytical, quantitative, and problem-solving skills.
- Thorough understanding of insurance products, risk management principles, and regulatory frameworks.
- Proven ability to work independently and as part of a distributed team in a remote environment.
- Strong written and verbal communication skills, with the ability to articulate complex technical concepts to non-technical audiences.
- Bachelor's degree in Actuarial Science, Mathematics, Statistics, or a related quantitative field.
- Attention to detail and a commitment to producing high-quality, accurate work.
This is an excellent opportunity for an accomplished actuarial professional to take on significant responsibilities and contribute to the strategic direction of a major insurer, all while enjoying the benefits of a fully remote working arrangement. The role is based in Glasgow, Scotland, UK .
Senior Actuarial Analyst - Risk Modelling
Posted 11 days ago
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Job Description
- Developing, validating, and implementing actuarial models for pricing, reserving, and risk assessment.
- Performing complex data analysis using statistical software (e.g., R, Python, SQL) and actuarial software.
- Contributing to the development of new insurance products by providing actuarial input and analysis.
- Assisting in the preparation of regulatory reporting and disclosures.
- Monitoring and analysing market trends and competitor activities, assessing their impact on risk and pricing.
- Collaborating with underwriting, finance, and claims departments to provide actuarial expertise.
- Mentoring junior analysts and contributing to the development of the actuarial team.
- Ensuring compliance with all relevant regulatory requirements and professional standards.
- Identifying opportunities for process improvement and efficiency gains in actuarial functions.
- Presenting complex actuarial findings to non-technical stakeholders clearly and concisely.
- Conducting sensitivity analysis and scenario testing on key actuarial assumptions.
- Assisting in the capital modelling and solvency assessments.
- Keeping abreast of new actuarial techniques and industry best practices.
- Supporting ad-hoc analytical projects as required by senior management.
- Maintaining robust documentation for all actuarial models and analyses.
Candidates must possess a recognised actuarial qualification (e.g., FIA, FSPA, or equivalent) or be actively pursuing one with significant progress made. A minimum of 5 years of relevant actuarial experience within the insurance industry is required. Demonstrated expertise in risk modelling, pricing, and reserving techniques is essential. Strong proficiency in programming languages such as R, Python, or VBA, and experience with statistical modelling software are mandatory. Excellent analytical, problem-solving, and quantitative skills are critical. You must have strong communication and interpersonal skills, with the ability to explain complex technical concepts to a diverse audience. Experience with Solvency II or other regulatory frameworks is highly desirable. This is an outstanding opportunity for a talented actuary to advance their career in a remote, flexible, and intellectually stimulating environment.
Junior Risk Analyst
Posted 653 days ago
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Job Description
Dentons is seeking Risk Analyst for our growing new business intake team across the Europe region. We look for reliable, organized candidates with strong analytical skills and attention to detail, who enjoy engaging in teamwork, working in a dynamic international environment, and getting exposure to major business transactions. Our Risk Analysts play a crucial role in conflicts of interest as well as compliance checks, management of risk, and overall support the firm in applying the standards of risk-based culture.
Key responsibilities:
- Running conflicts checks varying levels of complexity and across a range of sectors, practices, and geographies, including preliminary identification of sanctions issues
- Liaising with partners, business support teams and Risk teams firmwide to facilitate the prompt resolution of commercial and legal conflict issues identified from conflict searches
- Conducting anti-money laundering refresh of due diligence for existing clients
- Reaching out to other Dentons regions to obtain conflict clearances across Dentons worldwide
- Handling complexity protection of confidential information issues, managing information barriers and document security processes
- Reviewing engagement letters, outside counsel terms and other engagement terms/contracts
- Supporting the team and risk management on various tasks and projects, such as client terms review, technology upgrades, team training, policy drafting etc.
Requirements
Experience, skills & knowledge:
- Bachelor’s degree, legal education is preferred
- Prior experience analyzing and resolving conflicts of interest and managing confidential information issues acquired in an international law firm is required
- Experience working with Intapp Open system is advantageous
- Excellent analytical skills, with ability to quickly identify and meticulously analyse complex issues and provide practical solutions
- Effective communication skills, dealing confidently, competently, and diplomatically with internal clients worldwide, persuasively communicating the Risk position in writing as well as by telephone and providing clear and unambiguous instructions
- Ability to comprehend the commercial concerns arising from the underlying advice provided by a global law firm
Methodical and organised approach to work and strong prioritisation skills, with ability to work efficiently under pressure, prioritise and deliver work to a consistently high standard and to deadlines
- Ability to make decisions and remain calm while under pressure, particularly when dealing with challenging situations
- Strong commitment to excellent internal client/customer facing service, being professional in outlook and attitude and serve as an ambassador for Risk Europe
- Ability to work as part of an international multicultural environment
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Senior Financial Risk Analyst
Posted 22 days ago
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Job Description
Key Responsibilities:
- Develop, implement, and maintain quantitative models for assessing and monitoring financial risks.
- Conduct regular risk assessments, including stress testing and scenario analysis, to evaluate the firm's risk profile.
- Analyse market data, credit exposures, and operational trends to identify potential risks and opportunities.
- Monitor compliance with regulatory requirements and internal risk policies.
- Prepare comprehensive risk reports for senior management, the board of directors, and regulatory bodies.
- Collaborate with business units to understand their risk exposures and implement effective risk mitigation strategies.
- Contribute to the development and enhancement of the firm's risk management framework and methodologies.
- Provide expert advice and support on risk-related matters to various departments.
- Stay abreast of industry best practices, emerging risks, and regulatory changes.
- Participate in internal and external audits related to risk management.
- Master's degree in Finance, Economics, Statistics, Mathematics, or a related quantitative field.
- A minimum of 5 years of experience in financial risk management, preferably within the banking or financial services sector.
- Strong understanding of various financial risk types (market, credit, operational, liquidity).
- Proficiency in risk modelling techniques, statistical analysis, and data mining.
- Experience with financial risk management software and tools (e.g., SAS, MATLAB, R, Python).
- Solid knowledge of financial regulations (e.g., Basel Accords, Solvency II).
- 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 independently and manage multiple priorities effectively.
- Professional certifications such as FRM or PRM are highly desirable.
Senior Insurance Risk Analyst
Posted 17 days ago
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Job Description
As a Senior Insurance Risk Analyst, you will be instrumental in identifying, assessing, and mitigating various risks inherent in the insurance business. Your analytical prowess will be key in developing sophisticated models, analyzing large datasets, and providing strategic recommendations to senior management. This position demands a robust understanding of insurance principles, actuarial science, and advanced quantitative analysis techniques. You will collaborate closely with underwriting, claims, finance, and actuarial departments to ensure a comprehensive approach to risk management.
Key Responsibilities:
- Develop, implement, and maintain risk assessment models and frameworks for insurance products.
- Analyze complex datasets to identify emerging risks, trends, and potential financial impacts.
- Quantify and measure various types of risk, including underwriting, market, operational, and credit risk.
- Prepare detailed risk reports and presentations for senior management and regulatory bodies.
- Monitor the effectiveness of risk mitigation strategies and recommend adjustments as needed.
- Collaborate with underwriting and actuarial teams to assess the risk profile of new and existing products.
- Conduct scenario analysis and stress testing to evaluate the company's resilience to adverse events.
- Stay abreast of regulatory changes and industry best practices in risk management.
- Contribute to the development of risk appetite statements and policies.
- Support internal and external audits related to risk management.
- Mentor junior analysts and contribute to the growth of the risk management function.
- Proactively identify opportunities for process improvements in risk analysis and reporting.
- Bachelor's or Master's degree in Actuarial Science, Statistics, Mathematics, Economics, Finance, or a related quantitative field.
- Professional qualification such as ACII, FIA, FMI, or equivalent is highly desirable.
- A minimum of 5 years of experience in risk management, actuarial, or a related analytical role within the insurance industry.
- Strong knowledge of insurance products, markets, and regulatory frameworks.
- Proficiency in statistical analysis software (e.g., R, Python, SAS) and data manipulation tools.
- Experience with risk modeling techniques and software.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong written and verbal communication skills, with the ability to present complex findings clearly.
- Proven ability to work independently and manage projects effectively in a remote environment.
- Familiarity with Solvency II and other relevant regulatory regimes is a plus.
- A proactive and detail-oriented approach to work.
Senior Risk Analyst - Financial Services
Posted 23 days ago
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Job Description
Responsibilities:
- Conduct comprehensive risk assessments across different business units, identifying potential threats and vulnerabilities.
- Develop, implement, and maintain risk management policies and procedures.
- Monitor market, credit, operational, and liquidity risks, providing timely reports to senior management.
- Analyze financial data to quantify risk exposures and develop appropriate mitigation strategies.
- Collaborate with internal stakeholders, including legal, compliance, and IT departments, to address risk-related issues.
- Ensure adherence to relevant regulatory frameworks, such as Basel III, Solvency II, and FCA guidelines.
- Develop and refine risk models and stress testing scenarios.
- Prepare detailed risk reports and presentations for the board and regulatory bodies.
- Stay informed about emerging risks and industry best practices in risk management.
- Contribute to the development and enhancement of the company's risk appetite statement.
Qualifications and Experience:
- Bachelor's or Master's degree in Finance, Economics, Mathematics, Statistics, or a related quantitative field.
- Significant experience (5+ years) in a risk management or quantitative analysis role within the financial services industry.
- In-depth knowledge of financial markets, instruments, and regulatory environments.
- Proven expertise in risk modeling, stress testing, and scenario analysis.
- Strong analytical and problem-solving skills with meticulous attention to detail.
- Proficiency in statistical software and programming languages such as R, Python, or SAS.
- Excellent understanding of relevant risk management frameworks and regulatory requirements.
- Strong communication and interpersonal skills, with the ability to present complex information clearly and concisely.
- Ability to work effectively under pressure and meet tight deadlines.
- Professional certifications such as FRM, PRM, or CFA are highly desirable.
This is an excellent opportunity for a seasoned risk professional to advance their career within a reputable organization in **Glasgow**. You will be at the forefront of risk management, contributing to the strategic direction of the firm. The role requires a proactive and detail-oriented individual who can navigate complex financial landscapes and provide robust risk solutions. We are looking for someone who can not only analyze data but also effectively communicate their findings and recommendations to diverse audiences, fostering a strong risk-aware culture throughout the organization. Your insights will be instrumental in guiding strategic decisions and ensuring the financial health of the company.