2 Remote Senior Quantitative Analyst Risk Management jobs in whatjobs
Remote Senior Quantitative Analyst - Risk Management
Posted 11 days ago
Job Viewed
Job Description
Our client, a prestigious financial institution, is seeking a highly analytical and technically proficient Remote Senior Quantitative Analyst to join its Risk Management division. This is a fully remote position offering a sophisticated challenge in developing and implementing advanced quantitative models. You will be instrumental in assessing, monitoring, and mitigating financial risks across the organization. Key responsibilities include designing, testing, and validating complex mathematical and statistical models for areas such as credit risk, market risk, operational risk, and capital adequacy. You will leverage sophisticated programming languages and analytical tools to perform data analysis, build predictive models, and conduct stress testing. The ideal candidate will possess a strong academic background in a quantitative field, coupled with extensive experience in financial modeling and risk management. Exceptional programming skills in languages like Python, R, or C++, and proficiency with SQL and big data technologies are essential. You should have a deep understanding of financial markets, derivatives, and regulatory requirements. Excellent communication skills are vital for articulating complex quantitative concepts to non-technical stakeholders and senior management. This role requires a meticulous, innovative thinker capable of contributing significantly to the firm's risk framework while benefiting from a remote work setup. Responsibilities include:
- Developing, implementing, and validating quantitative risk models.
- Performing complex data analysis, statistical modeling, and simulations.
- Conducting stress testing and scenario analysis for risk assessment.
- Contributing to the enhancement of risk management frameworks and policies.
- Collaborating with business units to understand risk exposures and needs.
- Staying abreast of regulatory changes and industry best practices in quantitative finance.
- Communicating complex analytical findings to technical and non-technical audiences.
- Mentoring junior quantitative analysts.
- Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Economics, or Financial Engineering.
- Minimum of 8 years of experience in quantitative analysis, risk management, or a related financial role.
- Proficiency in programming languages like Python, R, or C++.
- Strong knowledge of SQL, database management, and big data technologies.
- In-depth understanding of financial markets, instruments, and risk management principles.
- Experience with financial modeling, econometrics, and statistical techniques.
- Excellent analytical, problem-solving, and critical thinking skills.
- Superior written and verbal communication abilities.
- Ability to thrive in a remote work environment and manage projects independently.
This advertiser has chosen not to accept applicants from your region.
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Remote Senior Quantitative Analyst - Risk Management
Posted 10 days ago
Job Viewed
Job Description
Our client, a leading financial institution, is seeking a highly skilled Senior Quantitative Analyst to join their fully remote risk management team. In this challenging role, you will leverage advanced mathematical and statistical techniques to develop, implement, and validate sophisticated risk models. Your primary focus will be on credit risk, market risk, and operational risk, contributing to the institution's robust risk framework. You will be responsible for designing and testing complex algorithms, performing data analysis on large datasets, and translating analytical findings into actionable insights for senior management. This position requires a deep understanding of financial markets, derivatives, econometrics, and various statistical modeling techniques. You will play a crucial role in stress testing, scenario analysis, and regulatory compliance, ensuring the firm's adherence to Basel Accords and other relevant financial regulations. Strong programming skills in languages such as Python, R, or C++ are essential, along with expertise in SQL and experience with data visualization tools. The ideal candidate will possess exceptional problem-solving abilities, a keen attention to detail, and the capacity to communicate complex quantitative concepts clearly and concisely to both technical and non-technical audiences. This remote opportunity demands a high degree of self-motivation, excellent organizational skills, and the ability to collaborate effectively within a distributed team. You will contribute to safeguarding the financial stability and strategic decision-making of the organization.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Develop, implement, and validate quantitative models for credit risk, market risk, and operational risk.
- Perform complex statistical analysis and econometrics on large financial datasets.
- Design and test algorithms for risk measurement, pricing, and hedging.
- Conduct stress testing and scenario analysis to assess portfolio resilience.
- Ensure compliance with regulatory requirements (e.g., Basel III/IV) and internal policies.
- Collaborate with risk managers, traders, and IT teams to integrate models into production environments.
- Communicate quantitative findings and model limitations to stakeholders at all levels.
- Research and apply new quantitative methodologies and technologies.
- Develop automated reporting and monitoring tools for model performance.
- Contribute to the firm's risk appetite framework and capital adequacy assessments.
- Mentor junior quantitative analysts and provide technical guidance.
Qualifications:
- Master's or Ph.D. in a quantitative field such as Financial Engineering, Statistics, Mathematics, Physics, or Economics.
- Proven experience as a Quantitative Analyst in the financial services industry, with a focus on risk management.
- Expertise in statistical modeling, time series analysis, machine learning, and financial econometrics.
- Proficiency in programming languages like Python, R, C++, or Java.
- Strong SQL skills and experience with database management.
- Familiarity with financial markets, derivatives, and risk management principles.
- Excellent analytical, problem-solving, and critical thinking skills.
- Exceptional written and verbal communication skills.
- Ability to work independently and manage time effectively in a remote setting.
- Experience with data visualization tools (e.g., Tableau, Power BI) is a plus.
- Understanding of regulatory frameworks in banking and finance.
This advertiser has chosen not to accept applicants from your region.
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