30 Experian jobs in Nottingham
Senior Quantitative Analyst - Risk Management
NG1 1AA Nottingham, East Midlands
£75000 Annually
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Job Description
Our client, a prominent financial institution in Nottingham, Nottinghamshire, UK , is seeking a highly analytical and detail-oriented Senior Quantitative Analyst to join their established Risk Management division. This role is integral to developing, validating, and implementing sophisticated quantitative models used for assessing financial risk, pricing complex instruments, and managing regulatory compliance. The ideal candidate will possess a strong academic background in a quantitative discipline, coupled with practical experience in applying advanced statistical and mathematical techniques within the banking and finance sector. You will work closely with traders, portfolio managers, and regulatory bodies to ensure robust risk frameworks are in place.
Key Responsibilities:
Key Responsibilities:
- Develop, implement, and back-test quantitative models for market risk, credit risk, and operational risk.
- Validate existing models to ensure their accuracy, effectiveness, and compliance with regulatory standards (e.g., Basel Accords).
- Perform complex data analysis and statistical modeling using programming languages such as Python, R, or C++.
- Collaborate with business stakeholders to understand their quantitative needs and translate them into model specifications.
- Prepare detailed documentation of models, methodologies, and validation processes for internal review and regulatory submission.
- Stay abreast of the latest developments in quantitative finance, financial modeling, and regulatory requirements.
- Contribute to the enhancement of risk management systems and methodologies.
- Communicate complex quantitative concepts and findings clearly to both technical and non-technical audiences.
- Provide quantitative support for new product development and strategic initiatives.
- Mentor junior analysts and contribute to the team's technical growth.
- Ensure adherence to internal policies and external regulations.
- Master's degree or Ph.D. in a highly quantitative field such as Mathematics, Statistics, Physics, Economics, or Financial Engineering.
- Minimum of 5 years of relevant experience in quantitative analysis within the banking or financial services industry.
- Proven expertise in statistical modeling, time series analysis, stochastic calculus, and financial mathematics.
- Proficiency in programming languages commonly used in quantitative finance (e.g., Python, R, C++, SQL).
- Strong understanding of financial markets, instruments, and various risk types.
- Familiarity with regulatory frameworks such as Basel III/IV and IFRS 9.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong written and verbal communication skills, with the ability to explain complex concepts effectively.
- Ability to work independently and as part of a team in a demanding environment.
- Experience with machine learning techniques applied to finance is a plus.
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0
Principal Quantitative Analyst - Risk Management
DE1 2AA Derby, East Midlands
£80000 Annually
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Our client, a prestigious financial institution, is seeking a highly skilled and experienced Principal Quantitative Analyst to join their Risk Management division. This critical role is based in Derby, Derbyshire, UK and requires a deep understanding of financial markets, statistical modelling, and programming. You will be responsible for developing, validating, and implementing sophisticated quantitative models to assess and manage various financial risks, including market risk, credit risk, and operational risk. The Principal Quantitative Analyst will play a key role in designing stress-testing frameworks, evaluating the impact of economic scenarios, and contributing to regulatory compliance efforts.
Key responsibilities include building complex financial models using languages such as Python, R, or C++, and performing rigorous back-testing and sensitivity analysis. You will collaborate with trading desks, portfolio managers, and IT departments to gather requirements, implement solutions, and provide insights into model performance. The ideal candidate will possess exceptional analytical and problem-solving abilities, with a proven track record in a similar quantitative role within the banking or finance sector. You will also be responsible for documenting model methodologies, assumptions, and limitations thoroughly, ensuring clarity and transparency for stakeholders and regulators. This position demands a strong grasp of probability, statistics, stochastic calculus, and econometrics. Excellent communication skills are essential to explain complex technical concepts to non-technical audiences. You will contribute to the firm's risk appetite framework and ensure models are robust and fit for purpose in a rapidly evolving financial landscape.
Key responsibilities include building complex financial models using languages such as Python, R, or C++, and performing rigorous back-testing and sensitivity analysis. You will collaborate with trading desks, portfolio managers, and IT departments to gather requirements, implement solutions, and provide insights into model performance. The ideal candidate will possess exceptional analytical and problem-solving abilities, with a proven track record in a similar quantitative role within the banking or finance sector. You will also be responsible for documenting model methodologies, assumptions, and limitations thoroughly, ensuring clarity and transparency for stakeholders and regulators. This position demands a strong grasp of probability, statistics, stochastic calculus, and econometrics. Excellent communication skills are essential to explain complex technical concepts to non-technical audiences. You will contribute to the firm's risk appetite framework and ensure models are robust and fit for purpose in a rapidly evolving financial landscape.
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1
Senior Quantitative Analyst - Risk Management
NG1 1DL Nottingham, East Midlands
£80000 annum + bon
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Posted 2 days ago
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Our client, a prominent global investment bank, is seeking a highly analytical and results-driven Senior Quantitative Analyst to join their sophisticated risk management division in Nottingham, Nottinghamshire, UK . This role is crucial for developing and implementing cutting-edge quantitative models and methodologies to assess and mitigate financial risks across a diverse portfolio. You will work closely with trading desks, portfolio managers, and risk officers to provide critical insights and support strategic decision-making in a dynamic market environment.
Responsibilities:
Responsibilities:
- Develop, validate, and implement quantitative models for pricing, risk management, and valuation of complex financial instruments.
- Conduct rigorous statistical analysis and back-testing of models to ensure accuracy and robustness.
- Identify, quantify, and monitor market, credit, and operational risks across various asset classes.
- Collaborate with business units to understand their risk exposures and provide quantitative support for risk mitigation strategies.
- Contribute to the development and enhancement of risk reporting frameworks and systems.
- Stay abreast of regulatory changes and industry best practices in quantitative finance and risk management.
- Communicate complex quantitative concepts and findings clearly to both technical and non-technical audiences.
- Assist in the development and training of junior quantitative analysts.
- Automate reporting processes and enhance data quality for risk analytics.
- Proactively research and propose innovative solutions to address emerging risk challenges.
- Master's or PhD in a quantitative field such as Financial Mathematics, Statistics, Physics, Economics, or Computer Science.
- A minimum of 5 years of experience in a quantitative analyst role within the financial services industry, preferably in risk management or trading.
- Strong expertise in financial modelling, statistical analysis, and programming (e.g., Python, R, C++).
- Deep understanding of financial markets, instruments, and risk management principles (e.g., VaR, CVA, stress testing).
- Proven ability to develop and implement complex mathematical models.
- Excellent problem-solving skills and attention to detail.
- Strong written and verbal communication skills, with the ability to explain technical concepts effectively.
- Experience with large datasets and database technologies (e.g., SQL).
- Ability to work independently and collaboratively in a fast-paced, team-oriented environment.
- Prior experience with regulatory requirements (e.g., Basel III/IV) is a plus.
This advertiser has chosen not to accept applicants from your region.
2
Senior Quantitative Analyst (Risk Management)
NG1 1AA Nottingham, East Midlands
£80000 Annually
WhatJobs
Posted 6 days ago
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Job Description
Our client, a leading financial institution in Nottingham, Nottinghamshire, UK , is seeking a highly skilled Senior Quantitative Analyst to join their dynamic risk management division. This is a challenging role that requires advanced analytical, statistical, and programming expertise to develop and implement sophisticated models for risk assessment and mitigation. You will be responsible for designing, testing, and validating quantitative models related to credit risk, market risk, and operational risk. Key duties include conducting in-depth data analysis, performing complex financial modelling, and developing robust algorithms to forecast potential financial exposures. You will collaborate with cross-functional teams, including risk officers, traders, and IT professionals, to ensure models are effectively implemented and integrated into business processes. A significant part of the role involves staying abreast of regulatory changes and developing compliant solutions. The ideal candidate will possess a strong academic background, typically with a Master's or PhD in a quantitative field such as Mathematics, Statistics, Physics, or Economics. Extensive experience in a quantitative finance role, with a deep understanding of financial markets and risk management principles, is essential. Proficiency in programming languages like Python, R, C++, or SQL, along with experience using statistical software and databases, is crucial. Excellent communication skills are required to articulate complex analytical findings to both technical and non-technical audiences. This role offers a hybrid work arrangement, allowing for flexibility between remote work and essential in-office collaboration. If you are a motivated quantitative professional seeking to apply your expertise in a complex and impactful environment, we encourage you to apply.
Responsibilities:
Qualifications:
Responsibilities:
- Develop, implement, and maintain quantitative models for risk assessment (credit, market, operational).
- Conduct sophisticated statistical analysis and financial modelling.
- Perform data mining and analysis on large datasets to identify trends and patterns.
- Validate and back-test existing risk models, ensuring accuracy and effectiveness.
- Collaborate with risk management teams, traders, and IT to integrate models into production systems.
- Research and implement new methodologies and technologies in quantitative finance.
- Ensure models comply with regulatory requirements (e.g., Basel III, Solvency II).
- Prepare detailed reports and presentations on model performance and risk insights.
- Communicate complex analytical concepts to stakeholders with varying levels of technical expertise.
- Mentor junior quantitative analysts and contribute to team development.
- Stay updated on industry best practices and emerging trends in financial risk management.
Qualifications:
- Master's or PhD in a quantitative discipline (e.g., Mathematics, Statistics, Finance, Physics).
- Minimum of 5 years of experience in quantitative analysis within the financial services industry.
- Proven experience in developing and validating risk models.
- Strong programming skills in languages such as Python, R, C++, or Java.
- Proficiency in SQL and database management.
- Deep understanding of financial markets, instruments, and risk management concepts.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong written and verbal communication skills.
- Familiarity with regulatory frameworks in finance.
- Experience with machine learning techniques is a plus.
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3
Senior Quantitative Analyst - Risk Management
DE1 1EU Derby, East Midlands
£85000 Annually
WhatJobs
Posted 7 days ago
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Job Description
Our client is seeking a highly skilled Senior Quantitative Analyst specializing in Risk Management to join their finance division. This is a hybrid role, offering a balance of remote work and office-based collaboration in Derby, Derbyshire, UK . You will play a pivotal role in developing and implementing sophisticated quantitative models to assess, measure, and manage financial risks across the organization. Your responsibilities will include analyzing market data, developing risk metrics, and performing stress testing and scenario analysis to ensure the firm's financial stability. The ideal candidate will possess a strong background in quantitative finance, econometrics, or a related field, with a proven track record in risk modelling. Proficiency in programming languages such as Python, R, or C++ is essential, along with experience in statistical software and databases. Excellent analytical, problem-solving, and communication skills are paramount for interpreting complex data and communicating findings to business stakeholders and regulatory bodies. This is a challenging and rewarding opportunity to contribute to the robust risk management framework of a leading financial institution. You will be instrumental in safeguarding the company's assets and ensuring compliance with regulatory requirements. Key duties include: Developing and validating quantitative models for market, credit, and operational risk; performing data analysis and statistical modelling; implementing risk management strategies and tools; conducting stress testing and scenario analysis; preparing risk reports for senior management and regulators; collaborating with trading, portfolio management, and IT teams; staying abreast of regulatory changes and industry best practices; contributing to the enhancement of risk infrastructure. Expertise in financial derivatives and hedging strategies is highly desirable.
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4
Senior Quantitative Analyst - Risk Management
NG1 4AE Nottingham, East Midlands
£85000 Annually
WhatJobs
Posted 9 days ago
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Job Description
Our client, a leading financial institution, is seeking an accomplished Senior Quantitative Analyst specializing in risk management. This is a fully remote position, allowing you to leverage your expertise from any location within the UK. You will be instrumental in developing, implementing, and maintaining sophisticated quantitative models for credit risk, market risk, and operational risk. Your responsibilities will include conducting complex statistical analysis, back-testing models, assessing model performance, and ensuring compliance with regulatory requirements. You will collaborate closely with risk managers, traders, and IT teams to provide critical insights and support strategic decision-making. The ideal candidate will possess a deep understanding of financial markets, advanced statistical modeling techniques, and robust programming skills. A Master's degree or PhD in a quantitative discipline such as Finance, Mathematics, Statistics, Physics, or Economics is essential, coupled with a minimum of 6 years of relevant experience in quantitative analysis within the financial services industry. Proficiency in programming languages like Python, R, or C++, and experience with financial modeling libraries and databases are crucial. Strong knowledge of risk management frameworks, regulatory guidelines (e.g., Basel III/IV), and risk modeling software is required. Excellent analytical, problem-solving, and communication skills are paramount, with the ability to articulate complex quantitative concepts clearly and concisely. This is an outstanding opportunity to work on challenging risk modeling problems, contribute to the firm's stability and growth, and enjoy the flexibility of a fully remote role. You will be part of a high-performing team dedicated to excellence in quantitative finance and risk management. We are committed to providing a flexible and supportive remote work environment.
Key Responsibilities:
Key Responsibilities:
- Develop, validate, and implement quantitative risk models.
- Conduct statistical analysis and perform back-testing of models.
- Assess model performance and identify areas for improvement.
- Ensure models comply with regulatory requirements and internal policies.
- Collaborate with risk management and business stakeholders.
- Provide quantitative support for risk reporting and decision-making.
- Stay current with industry trends and advancements in quantitative finance.
- Mentor junior quantitative analysts.
- Develop and maintain documentation for all models and methodologies.
- Master's or PhD in a quantitative field (Finance, Math, Stats, Physics, Economics).
- 6+ years of experience in quantitative analysis within financial services.
- Expertise in credit risk, market risk, or operational risk modeling.
- Strong programming skills (Python, R, C++).
- Experience with financial modeling and databases.
- In-depth knowledge of financial markets and regulatory frameworks.
- Excellent analytical and problem-solving abilities.
- Strong written and verbal communication skills.
This advertiser has chosen not to accept applicants from your region.
5
Senior Financial Analyst - Risk Management
DE1 2AA Derby, East Midlands
£65000 Annually
WhatJobs
Posted 9 days ago
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Job Description
Our client, a leading financial institution, is seeking a highly motivated and experienced Senior Financial Analyst to join their dynamic risk management team. This is a fully remote, permanent position offering the flexibility to work from anywhere in the UK. The successful candidate will play a crucial role in developing, implementing, and maintaining robust financial models and analytical tools to support risk assessment and mitigation strategies across the organisation.
Responsibilities:
Responsibilities:
- Conduct in-depth analysis of financial data to identify and quantify potential risks, including market risk, credit risk, and operational risk.
- Develop and enhance quantitative models for stress testing, scenario analysis, and capital adequacy assessments.
- Collaborate with cross-functional teams, including treasury, compliance, and business units, to gather data and provide insights on risk exposures.
- Prepare comprehensive reports and presentations for senior management and regulatory bodies, clearly articulating findings and recommendations.
- Monitor and interpret financial market trends and economic indicators to anticipate potential impacts on the company's risk profile.
- Ensure compliance with all relevant regulatory requirements and industry best practices in risk management.
- Contribute to the continuous improvement of risk management frameworks and methodologies.
- Mentor junior analysts and provide guidance on analytical techniques and best practices.
- Bachelor's degree in Finance, Economics, Mathematics, or a related quantitative field. Master's degree or professional certification (e.g., CFA, FRM) is a strong plus.
- Proven experience (5+ years) in financial analysis, risk management, or a similar role within the banking and finance sector.
- Strong understanding of financial markets, investment products, and risk management principles.
- Proficiency in statistical software (e.g., R, Python) and advanced Excel skills. Experience with SQL and data visualization tools (e.g., Tableau, Power BI) is highly desirable.
- Excellent analytical, problem-solving, and critical-thinking abilities.
- Exceptional communication and interpersonal skills, with the ability to present complex information clearly and concisely to diverse audiences.
- Ability to work independently and manage multiple priorities in a remote work environment.
- Demonstrated ability to work collaboratively in a virtual team setting.
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6
Senior Quantitative Analyst - Risk Management
NG1 1GS Nottingham, East Midlands
£75000 Annually
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Posted 10 days ago
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Job Description
Our client, a prominent player in the pharmaceutical industry, is seeking a highly analytical and experienced Senior Quantitative Analyst to bolster their Risk Management team. This role is crucial for developing and implementing sophisticated quantitative models to assess and mitigate financial and operational risks inherent in the pharmaceutical sector. You will leverage advanced statistical techniques, programming skills, and a deep understanding of the pharmaceutical market dynamics to provide critical insights and recommendations. The ideal candidate possesses a strong academic background, proven experience in quantitative finance or risk modelling, and excellent communication skills to convey complex findings to diverse stakeholders.Location: Nottingham, Nottinghamshire, UK
Responsibilities:
Qualifications:
This hybrid role offers a unique blend of scientific rigor and financial acumen, providing a challenging and rewarding career path. If you are a quantitative expert passionate about mitigating risk in the pharmaceutical sector, we encourage you to apply.
Responsibilities:
- Develop, validate, and implement quantitative models for risk assessment, including market risk, credit risk, and operational risk.
- Conduct in-depth statistical analysis of large datasets to identify trends, patterns, and potential risk drivers.
- Utilise programming languages such as Python, R, or C++ for model development, back-testing, and data analysis.
- Contribute to the stress testing and scenario analysis of the firm's risk exposures.
- Work closely with business units to understand their risk appetite and provide tailored quantitative solutions.
- Prepare detailed reports and presentations on model performance, risk metrics, and findings for senior management and regulatory bodies.
- Stay abreast of regulatory changes and industry best practices in quantitative risk management.
- Collaborate with IT departments to ensure the effective implementation and maintenance of risk management systems.
- Assist in the development and enhancement of risk policies and procedures.
- Mentor junior analysts and contribute to the overall intellectual capital of the risk management function.
Qualifications:
- Master's or Ph.D. in a quantitative field such as Finance, Economics, Mathematics, Statistics, Physics, or Computer Science.
- Proven experience as a Quantitative Analyst, Risk Analyst, or in a similar role within the financial services or pharmaceutical industry.
- Strong proficiency in statistical modelling, time series analysis, and econometrics.
- Expertise in programming languages like Python, R, or C++, and experience with SQL.
- Familiarity with financial instruments, derivatives, and risk management frameworks (e.g., Basel Accords).
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and interpersonal skills, with the ability to explain complex quantitative concepts to non-technical audiences.
- Experience with data visualisation tools is a plus.
- Ability to work effectively both independently and as part of a team.
- Knowledge of the pharmaceutical industry's regulatory landscape is highly desirable.
This hybrid role offers a unique blend of scientific rigor and financial acumen, providing a challenging and rewarding career path. If you are a quantitative expert passionate about mitigating risk in the pharmaceutical sector, we encourage you to apply.
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7
Senior Quantitative Analyst - Risk Management
DE1 1AA Derby, East Midlands
£75000 Annually
WhatJobs
Posted 10 days ago
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Job Description
Our client is seeking an accomplished Senior Quantitative Analyst to join their fully remote, global finance team. This role is instrumental in developing and implementing sophisticated quantitative models for risk management, pricing, and trading strategies. You will leverage your deep understanding of financial markets, statistics, and programming to drive analytical innovation and support critical business decisions. The ideal candidate will possess a strong academic background in a quantitative field (e.g., Mathematics, Statistics, Physics, Computer Science) and extensive experience in applying quantitative techniques within the financial services industry. Responsibilities include designing, testing, and deploying complex mathematical models, performing in-depth data analysis, and providing actionable insights to senior management. You will work with large datasets, utilising programming languages such as Python, R, or C++ to build robust analytical tools and perform complex simulations. A significant part of the role involves model validation, back-testing, and ensuring the accuracy and reliability of our risk management frameworks. Collaboration with traders, portfolio managers, and risk officers is essential to translate business needs into quantitative solutions and communicate complex findings effectively. This is a remote-first position, demanding high levels of autonomy, self-motivation, and exceptional organisational skills. You should be comfortable working independently while actively participating in virtual team discussions and knowledge-sharing sessions. We are looking for a strategic thinker with a passion for quantitative finance and a commitment to excellence. Experience with machine learning techniques, time-series analysis, and stochastic calculus is highly desirable. The **Derby, Derbyshire, UK** region serves as a key operational hub for some of our UK-based activities, however, this role is entirely remote.
Key Responsibilities:
Key Responsibilities:
- Develop, implement, and validate quantitative models for risk management, pricing, and trading.
- Conduct in-depth statistical analysis and financial modelling.
- Utilise programming languages (Python, R, C++) for data analysis and model development.
- Perform back-testing and scenario analysis on financial models.
- Provide quantitative insights and recommendations to senior stakeholders.
- Collaborate with trading, portfolio management, and risk teams.
- Ensure the accuracy, reliability, and compliance of quantitative models.
- Stay abreast of the latest developments in quantitative finance and data science.
- Contribute to the continuous improvement of analytical tools and processes.
- Manage and process large datasets efficiently.
- Proven experience as a Quantitative Analyst or similar role in financial services.
- Advanced degree (Master's or PhD) in a quantitative field (Mathematics, Statistics, Physics, Finance, Computer Science, etc.).
- Strong programming skills in Python, R, or C++.
- Deep understanding of financial markets, derivatives, and risk management principles.
- Experience with statistical modelling, time-series analysis, and stochastic calculus.
- Excellent analytical and problem-solving abilities.
- Strong communication skills, with the ability to explain complex concepts clearly.
- Ability to work independently and manage projects effectively in a remote setting.
- Experience with machine learning techniques is a plus.
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8
Senior Actuarial Analyst, Risk Management
LE1 6DG Leicester, East Midlands
£60000 Annually
WhatJobs
Posted 14 days ago
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Job Description
Our client, a prominent insurance provider, is seeking a highly analytical and motivated Senior Actuarial Analyst to join their expanding Risk Management team. This hybrid role offers a balanced approach, combining remote work flexibility with essential in-office collaboration to foster team synergy and strategic discussions. You will be instrumental in assessing and managing various types of insurance risk, including underwriting, reserving, and financial risks. Key responsibilities include developing and maintaining actuarial models, performing complex data analysis, projecting future financial outcomes, and providing insights to support strategic decision-making. You will work closely with underwriting, finance, and claims departments to ensure robust risk assessment and pricing strategies. The ideal candidate possesses a strong foundation in actuarial science, exceptional quantitative skills, and a thorough understanding of insurance products and regulations. You will be expected to contribute to the development of new products, refine existing models, and communicate technical findings clearly to both actuarial and non-actuarial stakeholders. This is an excellent opportunity to advance your actuarial career within a dynamic and supportive environment.
Key Responsibilities:
Key Responsibilities:
- Develop, implement, and maintain actuarial models for risk assessment and pricing.
- Perform complex data analysis to identify trends and patterns in insurance risks.
- Calculate and project reserves for claims and other liabilities.
- Assist in the development and pricing of new insurance products.
- Analyze the impact of regulatory changes on the company's financial position.
- Prepare detailed reports and presentations for senior management and other stakeholders.
- Collaborate with underwriting, finance, and claims teams to provide actuarial insights.
- Contribute to the continuous improvement of actuarial processes and methodologies.
- Mentor junior actuarial staff.
- Fully qualified actuary (FIA, FSA, or equivalent) or making significant progress towards qualification.
- Minimum of 5 years of experience in the insurance industry, with a focus on actuarial analysis and risk management.
- Strong understanding of actuarial principles, statistical methods, and modeling techniques.
- Proficiency in actuarial software and data analysis tools (e.g., Prophet, R, Python, SQL).
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and interpersonal skills, with the ability to explain complex concepts clearly.
- Experience in a hybrid work environment is preferred.
This advertiser has chosen not to accept applicants from your region.
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