2 Remote Quantitative Analyst jobs in whatjobs
Job Description
Our client is seeking a highly analytical and experienced Remote Quantitative Analyst to join their thriving Banking and Finance division. This is an exceptional opportunity for a skilled professional to contribute to complex financial modeling, risk management, and quantitative research in a fully remote setting. The Quantitative Analyst will be responsible for developing and implementing sophisticated mathematical models and statistical techniques to analyze financial markets, assess risk, price financial instruments, and identify investment opportunities. You will work with large datasets, design simulations, and perform rigorous backtesting to validate model performance. Collaboration with traders, portfolio managers, and risk officers will be integral to translating quantitative insights into actionable business strategies. A strong command of programming languages commonly used in quantitative finance, such as Python, R, or C++, is essential, along with a solid understanding of financial theory and econometrics. The ability to communicate complex quantitative concepts effectively to both technical and non-technical audiences is crucial for success in this role.
Responsibilities:
Responsibilities:
- Develop, validate, and implement quantitative models for pricing, risk management, and trading strategies.
- Conduct statistical analysis of financial markets and economic data.
- Build and maintain data infrastructure for quantitative research and analysis.
- Perform backtesting and simulation of trading algorithms and risk models.
- Collaborate with trading desks and portfolio managers to provide quantitative support and insights.
- Assess and manage financial risks across various asset classes.
- Develop and document methodologies for quantitative models.
- Stay current with academic research and industry developments in quantitative finance.
- Contribute to the development of new financial products and instruments.
- Ensure compliance with regulatory requirements related to financial modeling and risk management.
- Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering.
- Minimum of 4 years of experience as a Quantitative Analyst in the financial industry.
- Expertise in statistical modeling, time series analysis, and econometrics.
- Proficiency in programming languages such as Python, R, C++, or MATLAB.
- Strong understanding of financial instruments, derivatives, and market microstructure.
- Experience with large datasets and database management.
- Excellent problem-solving and analytical skills.
- Superior communication and presentation skills, with the ability to explain complex quantitative concepts.
- Proven ability to work independently and manage multiple projects in a remote environment.
- Experience with risk management frameworks and regulatory compliance.
This advertiser has chosen not to accept applicants from your region.
0
Job Description
Our client is looking for a highly analytical and skilled Quantitative Analyst to join their innovative finance team. This is a fully remote position, allowing you to work from anywhere. The successful candidate will leverage advanced mathematical and statistical methods to develop, implement, and refine complex financial models for trading strategies, risk management, and derivative pricing. You will be instrumental in providing data-driven insights that inform critical business decisions and drive profitability.
Responsibilities:
Responsibilities:
- Develop and backtest quantitative trading strategies across various asset classes.
- Build and maintain sophisticated financial models for risk assessment, portfolio optimization, and valuation of complex financial instruments.
- Perform statistical analysis of market data to identify trends, patterns, and trading opportunities.
- Collaborate with traders, portfolio managers, and other quantitative researchers to implement and improve models.
- Design and execute stress tests and scenario analyses to evaluate model robustness.
- Ensure the accuracy, integrity, and performance of all deployed models and systems.
- Communicate complex quantitative concepts and findings clearly to both technical and non-technical stakeholders.
- Stay current with academic research, market developments, and new technologies in quantitative finance.
- Contribute to the development of proprietary trading platforms and analytics tools.
- Ensure compliance with regulatory requirements and internal risk policies.
- Master's degree or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, Financial Engineering, or Economics.
- Proven experience (3+ years) as a Quantitative Analyst or in a similar quantitative role within the financial industry.
- Strong programming skills in languages like Python, C++, or R, with experience in relevant libraries (e.g., NumPy, SciPy, Pandas).
- Expertise in statistical modeling, time series analysis, machine learning, and econometrics.
- Deep understanding of financial markets, derivatives, and portfolio theory.
- Experience with large datasets and database management (SQL).
- Excellent problem-solving abilities and a rigorous, detail-oriented approach.
- Strong communication skills, both written and verbal, with the ability to articulate complex ideas effectively.
- Ability to work independently and manage projects with minimal supervision in a remote setting.
- Familiarity with cloud computing platforms (AWS, Azure, GCP) is a plus.
This advertiser has chosen not to accept applicants from your region.
Be The First To Know
About the latest Remote quantitative analyst Jobs in Kenya !
1