2 Senior Quantitative Analyst Risk Modeling jobs in whatjobs
Senior Quantitative Analyst - Risk Modeling
Posted 21 days ago
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Job Description
Our client, a leading financial institution, is seeking a highly analytical and experienced Senior Quantitative Analyst to join their sophisticated risk management division. This is a critical, fully remote role focused on developing, validating, and implementing complex financial risk models. You will play a key part in assessing credit risk, market risk, and operational risk, ensuring the institution's stability and compliance with regulatory requirements. The ideal candidate will possess a strong quantitative background, expertise in statistical modeling, programming proficiency, and a deep understanding of financial markets and banking regulations. This role requires a meticulous, independent, and results-oriented professional capable of complex analytical tasks in a virtual setting.
Responsibilities:
Responsibilities:
- Develop, calibrate, and validate quantitative models for credit risk, market risk, operational risk, and other financial risks.
- Implement risk models into production environments, working closely with IT and business teams.
- Perform back-testing and sensitivity analysis of existing models to ensure accuracy and robustness.
- Contribute to regulatory compliance efforts, including stress testing and capital adequacy assessments.
- Analyze large datasets to identify trends, correlations, and potential risks.
- Develop reports and visualizations to communicate model results and risk insights to senior management and stakeholders.
- Stay abreast of the latest advancements in quantitative finance, risk modeling techniques, and regulatory changes.
- Collaborate with front-office, middle-office, and back-office teams to understand business needs and incorporate them into model development.
- Ensure model documentation is comprehensive, accurate, and compliant with internal and external standards.
- Mentor junior quantitative analysts and contribute to the team's technical expertise.
- Design and conduct simulation studies to assess model performance under various market conditions.
- Master's or PhD degree in a quantitative field such as Mathematics, Statistics, Economics, Physics, or Financial Engineering.
- 5+ years of experience in quantitative analysis, risk modeling, or a related role within the banking or financial services industry.
- Strong proficiency in statistical modeling, econometrics, and machine learning techniques.
- Expertise in programming languages commonly used in quantitative finance, such as Python, R, C++, or MATLAB.
- Experience with financial databases and data manipulation tools.
- Solid understanding of banking regulations (e.g., Basel III/IV) and their impact on risk modeling.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and interpersonal skills, with the ability to explain complex technical concepts clearly.
- Proven ability to work independently and manage projects effectively in a remote environment.
- Experience with data visualization tools is a plus.
- Knowledge of financial instruments and markets.
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Senior Quantitative Analyst - Risk Modeling
Posted 20 days ago
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Job Description
Our client, a leading international financial institution, is seeking a highly analytical and experienced Senior Quantitative Analyst to join their remote risk modeling team. This is a pivotal, fully remote role where you will be responsible for developing, validating, and implementing sophisticated quantitative models for credit risk, market risk, and operational risk assessment. The ideal candidate possesses a strong background in finance, mathematics, statistics, and programming, with a proven ability to translate complex financial concepts into robust analytical frameworks. You will work closely with risk management, trading, and technology departments to ensure models are aligned with business objectives and regulatory requirements. This position demands exceptional problem-solving skills, meticulous attention to detail, and the ability to communicate complex findings clearly to both technical and non-technical stakeholders. Your expertise will be instrumental in safeguarding the institution's financial health.
Key Responsibilities:
Candidates must hold a Master's degree or PhD in a quantitative field such as Finance, Mathematics, Statistics, Economics, or Physics. A minimum of 7 years of experience in quantitative analysis, risk modeling, or a related role within the financial services industry is required. Proven experience with programming languages like Python, R, C++, or Java is essential. Familiarity with financial modeling libraries and platforms is highly advantageous. Strong understanding of financial markets, derivatives, and risk management principles is mandatory. Excellent analytical, problem-solving, and communication skills are critical for effective remote collaboration. This role is based in **Nyeri, Nyeri, KE**, but is performed entirely remotely.
Key Responsibilities:
- Develop, implement, and maintain quantitative models for risk assessment, pricing, and valuation across various financial products.
- Perform rigorous model validation, back-testing, and sensitivity analysis to ensure model accuracy and robustness.
- Conduct in-depth research into advanced statistical and financial modeling techniques.
- Collaborate with business units to understand their needs and translate them into quantitative solutions.
- Work closely with IT departments to ensure efficient implementation and deployment of models.
- Ensure all models comply with internal policies and external regulatory requirements (e.g., Basel Accords, IFRS 9).
- Prepare comprehensive documentation for model development, validation, and implementation.
- Communicate model findings, limitations, and recommendations to senior management and other stakeholders.
- Stay abreast of the latest developments in quantitative finance, risk management, and regulatory landscapes.
- Mentor junior quantitative analysts and contribute to the team's technical growth.
Candidates must hold a Master's degree or PhD in a quantitative field such as Finance, Mathematics, Statistics, Economics, or Physics. A minimum of 7 years of experience in quantitative analysis, risk modeling, or a related role within the financial services industry is required. Proven experience with programming languages like Python, R, C++, or Java is essential. Familiarity with financial modeling libraries and platforms is highly advantageous. Strong understanding of financial markets, derivatives, and risk management principles is mandatory. Excellent analytical, problem-solving, and communication skills are critical for effective remote collaboration. This role is based in **Nyeri, Nyeri, KE**, but is performed entirely remotely.
This advertiser has chosen not to accept applicants from your region.
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