2 Remote Senior Quantitative Analyst Quant jobs in whatjobs
Remote Senior Quantitative Analyst (Quant)
Posted 9 days ago
Job Viewed
Job Description
Our client is seeking a highly analytical and skilled Remote Senior Quantitative Analyst (Quant) to join their leading financial services division. This role is crucial for developing and implementing sophisticated mathematical models and quantitative strategies for trading, risk management, and portfolio optimization. You will work closely with traders, portfolio managers, and risk officers to translate complex financial concepts into actionable quantitative solutions. The ideal candidate will possess a strong foundation in mathematics, statistics, computer science, and financial markets, with demonstrable experience in quantitative finance. Proficiency in programming languages commonly used in quant roles (e.g., Python, R, C++) and experience with large datasets are essential. This position requires a sharp, detail-oriented individual capable of independent research and development in a remote setting, contributing significantly to the firm's competitive edge.
Responsibilities:
Qualifications:
Responsibilities:
- Design, develop, test, and implement quantitative models for pricing, risk management, and trading strategies.
- Conduct rigorous statistical analysis of financial data to identify market trends and opportunities.
- Develop algorithms and software for automated trading systems and risk management frameworks.
- Collaborate with front-office and risk management teams to provide quantitative insights and support decision-making.
- Perform back-testing and performance evaluation of trading strategies and models.
- Ensure the accuracy, robustness, and compliance of quantitative models with regulatory requirements.
- Research and stay updated on the latest advancements in quantitative finance, machine learning, and financial technology.
- Contribute to the development and maintenance of the firm's quantitative infrastructure.
- Document quantitative methodologies, models, and processes clearly and comprehensively.
- Mentor junior quantitative analysts and contribute to team knowledge sharing.
Qualifications:
- Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, Financial Engineering, or a related discipline.
- Minimum of 6 years of experience in quantitative analysis within the financial services industry.
- Proven experience in developing and implementing pricing, risk, or trading models.
- Expertise in programming languages like Python, R, C++, or similar for quantitative applications.
- Strong knowledge of statistical modeling, econometrics, time series analysis, and machine learning techniques.
- Familiarity with financial markets, derivatives, and risk management principles.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and interpersonal skills, with the ability to explain complex quantitative concepts to non-technical audiences.
- Ability to work independently and as part of a remote team.
- Understanding of the banking and finance sector in Nyeri, Nyeri, KE is beneficial.
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Remote Senior Quantitative Analyst (Quant)
Posted 15 days ago
Job Viewed
Job Description
Our client, a prominent financial institution, is seeking an exceptionally talented Senior Quantitative Analyst (Quant) to join their sophisticated risk management and trading strategy team. This is a fully remote position, offering the flexibility to work from anywhere while contributing to critical financial modeling and analysis. You will be responsible for developing and implementing complex mathematical models and statistical techniques to assess financial risk, price derivatives, and optimize trading strategies. Your expertise will be vital in designing, testing, and validating sophisticated quantitative models across various asset classes. Key responsibilities include analyzing large datasets, performing statistical inference, and writing robust code to implement models in production environments. You will collaborate closely with traders, portfolio managers, and risk officers to provide quantitative insights and solutions. The ideal candidate will possess a deep understanding of financial markets, stochastic calculus, probability theory, and advanced statistical modeling. Proficiency in programming languages such as Python, C++, or R is essential, along with experience in financial libraries and platforms. A strong academic background in a quantitative field (e.g., Mathematics, Physics, Statistics, Financial Engineering) is required, often at the Master's or PhD level. Experience with machine learning techniques applied to finance is highly desirable. This role demands exceptional analytical rigor, problem-solving skills, and the ability to communicate complex quantitative concepts to non-technical audiences. The successful candidate will be highly motivated, detail-oriented, and capable of working independently in a demanding, fast-paced environment. This is an exciting opportunity to apply your quantitative skills to cutting-edge financial challenges, working remotely from your location near **Machakos, Machakos, KE**. You will contribute to model validation, backtesting, and the continuous improvement of our client's quantitative infrastructure. The ability to work autonomously and manage multiple projects with tight deadlines is critical. We are looking for an innovative thinker who can drive sophisticated financial modeling and contribute to the firm's success.
This advertiser has chosen not to accept applicants from your region.
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