5 Lead Quantitative Analyst Risk Management jobs in whatjobs
Lead Quantitative Analyst (Risk Management)
Posted 19 days ago
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Job Description
Our client, a leading financial institution, is seeking an exceptional Lead Quantitative Analyst with a focus on risk management to join their dynamic, fully remote team. This pivotal role will leverage advanced statistical and mathematical techniques to develop, implement, and validate sophisticated risk models. You will be at the forefront of managing and mitigating various financial risks, including market risk, credit risk, and operational risk. As a remote-first professional, you will collaborate virtually with business lines, technology teams, and regulatory bodies to ensure the accuracy and effectiveness of our risk assessment frameworks. Your responsibilities will encompass designing and testing complex algorithms, building predictive models, and performing sensitivity analyses to understand potential impacts of market movements and economic events. You will be responsible for model governance, including documentation, validation, and ongoing monitoring of model performance. The ideal candidate possesses a deep theoretical understanding of quantitative finance, econometrics, and statistical modeling, coupled with practical experience in applying these concepts to real-world financial problems. Proficiency in programming languages such as Python, R, or C++ is essential, along with experience using specialized financial modeling software and databases. You will lead a team of quantitative analysts, providing mentorship, technical guidance, and fostering a culture of innovation and continuous improvement within the remote setting. Strong communication skills are critical for presenting complex findings and recommendations to senior management and non-technical stakeholders. This role requires a proactive mindset, exceptional analytical rigor, and the ability to thrive in a challenging and fast-paced remote work environment. Our client is committed to fostering a diverse and inclusive remote workforce and offers excellent opportunities for professional development. You will contribute significantly to the firm's strategic decision-making by providing robust quantitative insights into risk exposures and capital adequacy. Experience with regulatory capital calculations (e.g., Basel Accords) and stress testing methodologies is highly desirable. This position offers the opportunity to shape the future of risk management in a globally recognized financial firm, all while enjoying the benefits of a fully remote work arrangement.
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Lead Quantitative Analyst, Risk Management
Posted 19 days ago
Job Viewed
Job Description
Our client, a prestigious financial institution, is searching for a Lead Quantitative Analyst to join their remote risk management team. This is a unique opportunity to work from anywhere in Kenya and play a pivotal role in developing and implementing sophisticated risk models. You will be at the forefront of quantitative finance, contributing to the stability and strategic direction of our client's operations.
Key responsibilities include designing, developing, and validating quantitative models for credit risk, market risk, and operational risk. You will analyze large datasets, identify trends, and provide actionable insights to senior management. This role requires a strong understanding of financial markets, derivative pricing, and statistical modeling techniques. Collaboration with business units, IT, and compliance teams will be essential to ensure the effective deployment and monitoring of models. You will also be responsible for staying abreast of regulatory changes and industry best practices in quantitative risk management. The ideal candidate possesses exceptional analytical prowess, advanced programming skills (e.g., Python, R, C++), and a deep understanding of financial instruments and risk metrics. Experience with risk management software and data visualization tools is a plus. As a lead, you will mentor junior analysts, oversee model development projects, and communicate complex technical concepts clearly and concisely to diverse audiences. This position demands a high degree of autonomy, excellent problem-solving abilities, and a commitment to producing accurate and reliable results in a remote setting. Strong communication and interpersonal skills are vital for effective virtual collaboration. If you are a highly motivated quantitative professional seeking a challenging and rewarding remote career in banking and finance, we encourage you to apply. The **job location** is remote, and while this position is associated with our operations, no physical relocation to Mombasa, Mombasa, KE is necessary.
Key responsibilities include designing, developing, and validating quantitative models for credit risk, market risk, and operational risk. You will analyze large datasets, identify trends, and provide actionable insights to senior management. This role requires a strong understanding of financial markets, derivative pricing, and statistical modeling techniques. Collaboration with business units, IT, and compliance teams will be essential to ensure the effective deployment and monitoring of models. You will also be responsible for staying abreast of regulatory changes and industry best practices in quantitative risk management. The ideal candidate possesses exceptional analytical prowess, advanced programming skills (e.g., Python, R, C++), and a deep understanding of financial instruments and risk metrics. Experience with risk management software and data visualization tools is a plus. As a lead, you will mentor junior analysts, oversee model development projects, and communicate complex technical concepts clearly and concisely to diverse audiences. This position demands a high degree of autonomy, excellent problem-solving abilities, and a commitment to producing accurate and reliable results in a remote setting. Strong communication and interpersonal skills are vital for effective virtual collaboration. If you are a highly motivated quantitative professional seeking a challenging and rewarding remote career in banking and finance, we encourage you to apply. The **job location** is remote, and while this position is associated with our operations, no physical relocation to Mombasa, Mombasa, KE is necessary.
This advertiser has chosen not to accept applicants from your region.
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Lead Quantitative Analyst (Risk Management)
Posted 10 days ago
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Job Description
Our client, a highly reputable financial institution, is seeking an exceptional Lead Quantitative Analyst to join their Risk Management division. This is a fully remote position, offering the opportunity to work on complex financial modeling and risk assessment from anywhere. The successful candidate will be responsible for developing, implementing, and validating sophisticated quantitative models to measure and manage various financial risks, including market risk, credit risk, and operational risk. This role demands a deep understanding of financial markets, statistical modeling, and programming. You will play a critical role in ensuring the firm's financial stability and regulatory compliance.This role is entirely remote, fostering a flexible and productive work environment.
Responsibilities:
Responsibilities:
- Develop, implement, and maintain advanced quantitative models for risk measurement, pricing, and hedging across different asset classes.
- Conduct rigorous validation of existing models and propose enhancements to improve accuracy and performance.
- Analyze large datasets to identify trends, patterns, and potential risks within the financial portfolio.
- Collaborate with business lines, technology teams, and regulatory bodies to ensure model compliance and effective risk management strategies.
- Design and execute stress testing scenarios and back-testing of model performance.
- Prepare detailed documentation for models, including theoretical underpinnings, assumptions, limitations, and implementation details.
- Present complex analytical findings and recommendations to senior management and stakeholders in a clear and concise manner.
- Stay current with regulatory changes, industry best practices, and emerging quantitative techniques.
- Mentor and guide junior quantitative analysts, providing technical expertise and oversight.
- Contribute to the development of the firm's risk management framework and policies.
- Master's degree or Ph.D. in a quantitative field such as Financial Mathematics, Statistics, Physics, Economics, or Computer Science.
- Minimum of 7 years of experience in quantitative analysis, financial modeling, or risk management within the financial services industry.
- Expertise in statistical modeling, time series analysis, econometrics, and machine learning techniques.
- Proficiency in programming languages commonly used in quantitative finance, such as Python, R, C++, or MATLAB.
- Strong understanding of financial markets, derivatives, and various asset classes.
- Experience with risk management frameworks (e.g., Basel Accords) and regulatory requirements.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain complex concepts to non-technical audiences.
- Proven ability to work independently and manage multiple priorities in a remote setting.
- Demonstrated leadership potential and experience mentoring others.
This advertiser has chosen not to accept applicants from your region.
2
Lead Quantitative Analyst - Risk Management
Posted 9 days ago
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Job Description
Our client, a reputable financial institution, is seeking a highly skilled Lead Quantitative Analyst to bolster their risk management division. This is a fully remote position, offering a fantastic opportunity to apply advanced analytical techniques to complex financial challenges from your home office. You will be responsible for developing, implementing, and validating quantitative models for market risk, credit risk, and operational risk. The ideal candidate will possess a strong academic background in a quantitative field (e.g., mathematics, statistics, physics, financial engineering) and extensive experience in financial modeling and risk management. Proficiency in programming languages such as Python, R, or C++ is essential, along with experience in statistical modeling and data analysis. Responsibilities include designing and backtesting trading strategies, developing risk measurement methodologies, and performing scenario analysis. You will collaborate with portfolio managers, traders, and compliance officers to ensure effective risk mitigation. Strong communication and presentation skills are crucial for explaining complex quantitative concepts to both technical and non-technical audiences. This role requires a proactive, detail-oriented individual with a passion for financial markets and quantitative analysis. If you are a seasoned quant professional looking to lead innovative risk management initiatives in a flexible, remote setting, we encourage you to apply. This position is associated with **Garissa, Garissa, KE**, but is a fully remote opportunity.
This advertiser has chosen not to accept applicants from your region.
3
Lead Quantitative Analyst - Risk Management
Posted 5 days ago
Job Viewed
Job Description
Our client, a highly reputable financial institution, is seeking an exceptional Lead Quantitative Analyst to join their sophisticated Risk Management division. This role is fully remote, requiring a highly skilled professional to develop and implement advanced quantitative models for credit, market, and operational risk. You will be pivotal in enhancing risk assessment frameworks and ensuring robust risk mitigation strategies.
Responsibilities:
Qualifications:
This fully remote position offers an unparalleled opportunity to work on cutting-edge quantitative challenges, access significant professional development resources, and enjoy a highly competitive remuneration package. Apply now to shape the future of financial risk management.
Responsibilities:
- Design, develop, validate, and implement complex quantitative models for risk assessment, including credit scoring, VaR calculations, stress testing, and pricing models.
- Collaborate with cross-functional teams (e.g., Risk Management, Front Office, IT) to understand business needs and translate them into quantitative solutions.
- Analyze large datasets to identify trends, patterns, and anomalies related to financial risk.
- Perform rigorous back-testing and sensitivity analysis to ensure the accuracy and reliability of developed models.
- Contribute to the development and enhancement of risk reporting frameworks and dashboards.
- Stay abreast of regulatory requirements (e.g., Basel III/IV, IFRS 9) and ensure models comply with current standards.
- Mentor and guide junior quantitative analysts, fostering a culture of continuous learning and technical excellence.
- Document model methodologies, assumptions, and limitations clearly and comprehensively.
- Present complex quantitative findings and recommendations to senior management and regulatory bodies.
- Contribute to the firm's thought leadership in quantitative finance and risk management.
Qualifications:
- Ph.D. or Master's degree in a quantitative field such as Financial Mathematics, Statistics, Physics, Computer Science, or Economics.
- A minimum of 6 years of hands-on experience in quantitative analysis, risk management, or financial modeling within the banking or financial services industry.
- Expertise in developing and implementing risk models, particularly in areas like credit risk, market risk, or operational risk.
- Advanced proficiency in programming languages commonly used in quantitative finance, such as Python, R, C++, or Java.
- Strong understanding of statistical modeling, machine learning techniques, and numerical methods.
- Excellent knowledge of financial markets, instruments, and derivatives.
- Familiarity with regulatory frameworks governing financial institutions.
- Exceptional analytical, problem-solving, and research skills.
- Outstanding written and verbal communication skills, with the ability to explain complex technical concepts to non-technical audiences.
- Demonstrated ability to lead projects and mentor junior team members in a remote setting.
This fully remote position offers an unparalleled opportunity to work on cutting-edge quantitative challenges, access significant professional development resources, and enjoy a highly competitive remuneration package. Apply now to shape the future of financial risk management.
This advertiser has chosen not to accept applicants from your region.
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