2 Principal Quantitative Analyst Remote jobs in whatjobs
Principal Quantitative Analyst - Remote
Posted 3 days ago
Job Viewed
Job Description
Our client, a prestigious financial institution, is seeking a highly analytical and experienced Principal Quantitative Analyst to join their cutting-edge trading and risk management division. This is a fully remote position, offering a unique opportunity to apply advanced mathematical and statistical modeling techniques to complex financial markets. You will be responsible for developing, implementing, and validating sophisticated quantitative models for pricing, risk assessment, and trading strategies. This role demands a deep understanding of financial instruments, market dynamics, and programming expertise. The ideal candidate will have a strong academic background in a quantitative field and a proven track record of innovation in financial modeling. You will collaborate with traders, portfolio managers, and technologists to develop and deploy quantitative solutions that drive profitable trading and effective risk mitigation. Key responsibilities include performing rigorous backtesting, scenario analysis, and performance attribution. You will also be involved in researching new methodologies and contributing to the firm's intellectual capital. This role requires exceptional problem-solving skills, meticulous attention to detail, and the ability to communicate complex technical concepts clearly to both technical and non-technical audiences. As a remote role, you must be highly self-motivated and adept at utilizing collaborative tools to work effectively within a distributed team. The core focus for this role pertains to the market in **Mombasa, Mombasa, KE**, yet it is a fully remote opportunity.
Responsibilities:
Responsibilities:
- Develop, implement, and maintain sophisticated quantitative models for pricing and risk management.
- Design and execute rigorous backtesting and validation of trading algorithms and strategies.
- Analyze market data to identify trends, opportunities, and potential risks.
- Collaborate with portfolio managers and traders to develop and enhance investment strategies.
- Perform scenario analysis and stress testing to assess model robustness.
- Contribute to the development of new financial products and derivatives.
- Communicate complex quantitative concepts and results to various stakeholders.
- Stay abreast of the latest advancements in quantitative finance and machine learning.
- Ensure compliance with regulatory requirements and internal risk policies.
- Mentor junior quantitative analysts and contribute to team knowledge sharing.
- Ph.D. or Master's degree in Mathematics, Statistics, Physics, Computer Science, or a related quantitative field.
- Minimum of 8 years of experience in quantitative finance, preferably in investment banking or hedge funds.
- Deep understanding of financial markets, derivatives, and fixed income products.
- Expertise in programming languages such as Python, C++, or R.
- Proficiency in statistical modeling, machine learning, and data analysis techniques.
- Strong problem-solving and analytical skills.
- Excellent communication and presentation skills, with the ability to explain complex concepts.
- Proven ability to work independently and lead quantitative projects.
- Experience with large datasets and high-frequency trading systems is a plus.
- Demonstrated ability to innovate and develop novel quantitative approaches.
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Principal Quantitative Analyst (Remote)
Posted today
Job Viewed
Job Description
Our client, a leading global financial institution, is seeking a highly skilled Principal Quantitative Analyst to join their esteemed, fully remote risk management division. This is a senior role demanding exceptional analytical prowess and deep expertise in financial modeling, derivative pricing, and risk assessment. You will be responsible for developing, implementing, and validating sophisticated quantitative models used for pricing complex financial instruments, managing market risk, credit risk, and operational risk. Your work will involve leveraging advanced statistical techniques, econometrics, and machine learning algorithms to derive actionable insights and support strategic decision-making. Key responsibilities include building and maintaining robust valuation models, conducting scenario analysis, stress testing portfolios, and contributing to the development of regulatory compliance frameworks. You will work closely with traders, portfolio managers, and technology teams to ensure the practical application and effectiveness of quantitative methodologies in a remote setting. The ideal candidate will possess a Ph.D. or Master's degree in a quantitative discipline such as Mathematics, Physics, Statistics, Financial Engineering, or Computer Science. A minimum of 10 years of progressive experience in quantitative finance roles within investment banking, asset management, or hedge funds is essential. Proven experience in programming languages like Python, R, C++, or Java, and familiarity with financial databases (e.g., Bloomberg, Refinitiv) are required. Strong communication skills are necessary to articulate complex quantitative concepts to diverse audiences, both verbally and in writing, within a remote context. You should have a strong understanding of financial markets, various asset classes, and regulatory requirements (e.g., Basel III/IV). This is a unique opportunity to drive innovation in financial analytics, influence strategic risk management, and contribute significantly to the firm's success, all while enjoying the flexibility of a fully remote position. Join our client and redefine the boundaries of quantitative finance.
This advertiser has chosen not to accept applicants from your region.
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