2 Lead Financial Risk Modeler jobs in whatjobs
Job Description
Our client, a prominent financial institution, is seeking a highly analytical and experienced Lead Financial Risk Modeler to join our fully remote Risk Management division. This senior role will be instrumental in developing, validating, and implementing sophisticated quantitative models to assess and manage various financial risks, including credit, market, and operational risks. We operate as a remote-first organization, fostering a dynamic and collaborative virtual environment where your expertise will drive critical decision-making.
The Lead Financial Risk Modeler will be responsible for designing, building, and maintaining complex statistical and financial models using advanced programming languages and tools such as Python, R, or MATLAB. You will conduct rigorous backtesting and stress testing of models to ensure their accuracy, robustness, and compliance with regulatory requirements (e.g., Basel III, IFRS 9). A key aspect of this role involves collaborating with business units, IT, and compliance teams to gather data, understand business needs, and effectively implement model solutions. You will also be responsible for documenting model methodologies, assumptions, and validation processes comprehensively.
Furthermore, the successful candidate will play a pivotal role in mentoring and guiding a team of quantitative analysts, fostering their professional development and ensuring the delivery of high-quality risk models. You will stay abreast of the latest developments in financial modeling, regulatory changes, and industry best practices. Presenting complex modeling results and insights to senior management and other stakeholders in a clear and concise manner will be a crucial function. This position offers a challenging and rewarding opportunity to leverage your quantitative skills to shape the risk management strategies of our organization, supporting our operations from our virtual hub, and contributing to our financial health within Kisumu, Kisumu, KE .
The Lead Financial Risk Modeler will be responsible for designing, building, and maintaining complex statistical and financial models using advanced programming languages and tools such as Python, R, or MATLAB. You will conduct rigorous backtesting and stress testing of models to ensure their accuracy, robustness, and compliance with regulatory requirements (e.g., Basel III, IFRS 9). A key aspect of this role involves collaborating with business units, IT, and compliance teams to gather data, understand business needs, and effectively implement model solutions. You will also be responsible for documenting model methodologies, assumptions, and validation processes comprehensively.
Furthermore, the successful candidate will play a pivotal role in mentoring and guiding a team of quantitative analysts, fostering their professional development and ensuring the delivery of high-quality risk models. You will stay abreast of the latest developments in financial modeling, regulatory changes, and industry best practices. Presenting complex modeling results and insights to senior management and other stakeholders in a clear and concise manner will be a crucial function. This position offers a challenging and rewarding opportunity to leverage your quantitative skills to shape the risk management strategies of our organization, supporting our operations from our virtual hub, and contributing to our financial health within Kisumu, Kisumu, KE .
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Lead Financial Risk Modeler
Posted 18 days ago
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Job Description
Our client, a leading financial institution, is seeking an accomplished Lead Financial Risk Modeler for a fully remote position. This is a critical role responsible for developing, validating, and implementing sophisticated quantitative models to assess and manage financial risks across the organization. The ideal candidate will possess a deep understanding of financial markets, regulatory requirements, and advanced statistical and computational techniques.
Key Responsibilities:
Key Responsibilities:
- Develop, implement, and maintain quantitative models for credit risk, market risk, operational risk, and liquidity risk.
- Validate model performance and assumptions, ensuring accuracy and compliance with internal policies and regulatory standards (e.g., Basel III/IV, IFRS 9).
- Perform scenario analysis and stress testing to assess the impact of adverse market conditions on the institution's financial health.
- Contribute to the development and enhancement of risk management frameworks and policies.
- Collaborate with business units, IT, and audit teams to ensure effective model implementation and integration.
- Stay abreast of evolving regulatory requirements and industry best practices in financial risk modeling.
- Prepare detailed documentation for model development, validation, and usage.
- Mentor and guide junior quantitative analysts and modelers.
- Present complex modeling concepts and findings to senior management and regulatory bodies.
- Research and implement innovative modeling techniques to improve risk assessment and mitigation strategies.
- Master's or Ph.D. in Quantitative Finance, Economics, Statistics, Mathematics, Physics, or a related quantitative field.
- A minimum of 7-10 years of progressive experience in financial risk modeling, preferably within banking or a related financial services sector.
- Strong knowledge of financial products, markets, and regulatory frameworks.
- Proficiency in statistical modeling techniques, econometrics, and machine learning algorithms relevant to risk management.
- Expertise in programming languages such as Python, R, C++, or MATLAB.
- Experience with model validation and governance processes.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to convey technical information to both technical and non-technical audiences.
- Proven ability to work independently and lead projects in a remote environment.
- Experience with data visualization tools is a plus.
This advertiser has chosen not to accept applicants from your region.
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