What Jobs are available for Risk Management in Jacksonville?
Showing 9 Risk Management jobs in Jacksonville
Lead Actuarial Analyst - Risk Management
Posted 4 days ago
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Job Description
Responsibilities:
- Develop, maintain, and enhance actuarial models for pricing, reserving, and financial forecasting.
- Analyze insurance data to identify trends, assess risks, and recommend mitigation strategies.
- Conduct experience studies and analyze claims data to inform pricing and reserving.
- Ensure the accuracy and adequacy of statutory and GAAP reserves.
- Collaborate with product development teams on the actuarial aspects of new insurance offerings.
- Prepare detailed actuarial reports and presentations for senior management and regulatory bodies.
- Stay abreast of industry best practices, emerging risks, and regulatory changes.
- Mentor and guide junior actuarial staff.
- Support financial planning and analysis through actuarial insights.
- Perform ad-hoc analyses and projects as requested by management.
- Bachelor's degree in Actuarial Science, Mathematics, Statistics, or a related quantitative field.
- Associate or Fellow designation from the Society of Actuaries (ASA/FSA) or Casualty Actuarial Society (ACAS/FCAS) is required.
- Minimum of 5 years of progressive actuarial experience in the insurance industry.
- Proficiency in actuarial software (e.g., Prophet, GGY AXIS) and programming languages (e.g., Python, R, SQL).
- Strong understanding of insurance products, principles, and regulations.
- Excellent analytical, problem-solving, and critical thinking skills.
- Effective communication and presentation skills, with the ability to explain complex concepts to non-technical audiences.
- Proven ability to manage multiple projects simultaneously and meet deadlines.
- Experience with risk management frameworks and capital modeling is a plus.
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Senior Quantitative Analyst - Risk Management
Posted 8 days ago
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Senior Quantitative Analyst - Risk Management
Posted 11 days ago
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Job Description
- Developing, testing, and implementing quantitative models for risk assessment and financial forecasting.
- Analyzing large datasets to identify trends, patterns, and potential risks.
- Performing back-testing and validation of existing models to ensure accuracy and reliability.
- Contributing to the development of risk management policies and procedures.
- Collaborating with business units to understand risk exposures and provide analytical support.
- Ensuring models comply with regulatory standards and internal policies.
- Preparing detailed reports and presentations on risk analysis for management and regulatory bodies.
- Staying abreast of industry best practices and emerging trends in quantitative finance and risk management.
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Senior Quantitative Analyst, Risk Management
Posted 18 days ago
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Job Description
Responsibilities:
- Develop, validate, and implement quantitative models for pricing, risk measurement, and capital allocation.
- Conduct rigorous statistical analysis and back-testing of models to ensure accuracy and reliability.
- Collaborate with business lines and technology partners to integrate models into production systems.
- Perform sensitivity analysis and stress testing to assess the impact of adverse market conditions.
- Contribute to the development of risk reporting frameworks and dashboards for senior management and regulatory bodies.
- Stay abreast of industry best practices, regulatory changes (e.g., Basel III/IV, CCAR), and emerging quantitative techniques.
- Mentor junior analysts and provide technical guidance on complex modeling tasks.
- Communicate complex quantitative concepts clearly and effectively to both technical and non-technical audiences.
- Participate in model validation reviews and respond to internal and external audit inquiries.
- Contribute to the strategic direction of the risk management function through data-driven insights.
Qualifications:
- Master's or Ph.D. in a quantitative field such as Finance, Economics, Mathematics, Statistics, Physics, or Computer Science.
- 7+ years of experience in quantitative analysis, financial modeling, or risk management within the banking or financial services industry.
- Proficiency in programming languages such as Python, R, C++, or Java.
- Strong knowledge of financial instruments, markets, and regulatory requirements.
- Experience with derivatives pricing, portfolio optimization, and risk management techniques.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong written and verbal communication skills, with the ability to present complex findings effectively.
- Ability to work independently and collaboratively in a team environment.
- Experience with large datasets and database management (SQL) is highly desirable.
- Familiarity with machine learning techniques for financial applications is a plus.
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Senior Quantitative Analyst - Risk Management
Posted 18 days ago
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Job Description
Responsibilities:
- Develop, validate, and implement complex quantitative models for pricing, risk assessment, and valuation of financial instruments (e.g., derivatives, fixed income, equities).
- Analyze market data to identify trends, assess potential risks, and inform model development.
- Conduct scenario analysis and stress testing to evaluate the firm's exposure to various market conditions.
- Ensure compliance with regulatory requirements (e.g., Basel III, Dodd-Frank) through robust model design and documentation.
- Collaborate with front-office trading desks, risk managers, and compliance officers to communicate model capabilities and limitations.
- Contribute to the design and enhancement of risk management systems and infrastructure.
- Prepare detailed documentation of models, methodologies, and results for internal review and regulatory submissions.
- Stay abreast of the latest advancements in quantitative finance, econometrics, and financial modeling techniques.
- Mentor junior quantitative analysts and provide technical guidance.
- Troubleshoot and resolve issues related to model implementation and performance.
Qualifications:
- Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Economics, or Financial Engineering.
- Minimum of 7 years of experience in a quantitative role within the financial services industry, with a focus on risk management or quantitative trading.
- Proven expertise in developing and implementing complex financial models, including stochastic calculus, time series analysis, and statistical modeling.
- Strong programming skills in languages such as Python, C++, or R, and experience with relevant financial libraries.
- In-depth knowledge of financial markets, instruments, and risk management frameworks.
- Excellent analytical, problem-solving, and critical thinking abilities.
- Exceptional written and verbal communication skills, with the ability to explain complex quantitative concepts to non-technical audiences.
- Experience with large datasets and database technologies is beneficial.
- Ability to work independently and manage multiple projects effectively in a remote setting.
- Strong attention to detail and commitment to accuracy.
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Senior Quantitative Analyst, Risk Management
Posted 21 days ago
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Job Description
Responsibilities:
- Develop, validate, and implement quantitative models for market risk, credit risk, operational risk, and other financial risks.
- Conduct thorough back-testing and stress-testing of models to ensure their accuracy and reliability.
- Analyze complex financial data using advanced statistical and econometric techniques.
- Collaborate with business units to understand their risk exposures and provide data-driven insights.
- Contribute to the development and enhancement of risk management frameworks and policies.
- Prepare detailed reports and presentations on model performance, risk metrics, and key findings for senior management and regulatory bodies.
- Stay abreast of the latest developments in quantitative finance, risk modeling, and regulatory changes.
- Work with IT teams to ensure the efficient implementation and maintenance of risk systems.
- Mentor junior quantitative analysts and contribute to team development.
- Evaluate and implement new technologies and methodologies for risk analysis.
- Ensure compliance with relevant financial regulations (e.g., Basel III, Dodd-Frank).
- Master's degree or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Economics, or Financial Engineering.
- Minimum of 5 years of relevant experience in quantitative analysis, risk management, or financial modeling within the banking or financial services industry.
- Proficiency in programming languages such as Python, R, C++, or Java.
- Strong knowledge of statistical modeling, time series analysis, machine learning, and financial econometrics.
- Experience with risk management frameworks (e.g., VaR, Expected Shortfall, credit scoring models).
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain complex technical concepts to non-technical audiences.
- Proven ability to work independently and collaboratively in a remote, fast-paced environment.
- Experience with financial data platforms (e.g., Bloomberg, FactSet) is a plus.
- Familiarity with regulatory requirements in the banking sector.
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Senior Quantitative Analyst - Risk Management
Posted 22 days ago
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Job Description
Responsibilities:
- Design, develop, and validate complex quantitative models for credit risk, market risk, and operational risk.
- Perform in-depth statistical analysis and stress testing on financial portfolios.
- Develop and implement risk measurement methodologies and frameworks.
- Collaborate with business units to understand risk appetite and translate business needs into quantitative solutions.
- Automate data extraction, analysis, and reporting processes using Python, R, or SQL.
- Conduct research on new modeling techniques and technologies relevant to risk management.
- Prepare detailed documentation of models, methodologies, and results.
- Present findings and recommendations to senior management and regulatory bodies.
- Contribute to the enhancement of the firm's risk management infrastructure and systems.
- Stay abreast of regulatory changes and ensure model compliance.
- Master's or Ph.D. in a quantitative field such as Finance, Economics, Mathematics, Statistics, or Physics.
- Minimum of 5 years of experience in quantitative analysis, preferably within banking or financial services.
- Strong expertise in statistical modeling, econometrics, and time-series analysis.
- Proficiency in programming languages like Python, R, and SQL for data analysis and model development.
- Experience with risk management frameworks (e.g., Basel Accords) and regulatory compliance.
- Excellent understanding of financial markets and instruments.
- Proven ability to communicate complex quantitative concepts to non-technical audiences.
- Strong analytical and problem-solving skills.
- Experience with large datasets and big data technologies is a plus.
- Ability to work independently and manage projects effectively in a remote setting.
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Senior Quantitative Analyst - Risk Management
Posted 24 days ago
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Job Description
Responsibilities:
- Develop, implement, and maintain quantitative models for credit risk, market risk, and operational risk.
- Perform rigorous back-testing and validation of models to ensure accuracy and robustness.
- Analyze large datasets to identify patterns, trends, and potential risks.
- Collaborate with business units, risk officers, and regulatory bodies to ensure model compliance and effectiveness.
- Contribute to the design and enhancement of risk management frameworks and methodologies.
- Develop and automate reports and dashboards for risk monitoring and decision-making.
- Stay abreast of regulatory changes and industry best practices in quantitative risk management.
- Mentor junior analysts and contribute to the team's technical development.
- Communicate complex quantitative concepts clearly and concisely to non-technical stakeholders.
- Conduct ad-hoc analysis and research on various risk-related topics.
- Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Economics, or Financial Engineering.
- Minimum of 5 years of experience in quantitative analysis, financial modeling, or risk management within the financial services industry.
- Proficiency in programming languages commonly used in quantitative finance, such as Python, R, C++, or MATLAB.
- Strong understanding of statistical modeling techniques, machine learning algorithms, and their applications in finance.
- Knowledge of financial instruments, market dynamics, and regulatory requirements (e.g., Basel III, Dodd-Frank).
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain complex technical concepts to diverse audiences.
- Ability to work independently and manage multiple projects in a fast-paced environment.
- Detail-oriented with a commitment to accuracy and quality.
- Experience with data visualization tools is a plus.
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VP of Risk Management, Investment Banking
Posted 13 days ago
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Job Description
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