3 Remote Senior Quantitative Analyst Banking Finance jobs in whatjobs
Remote Senior Quantitative Analyst - Banking & Finance
Posted 20 days ago
Job Viewed
Job Description
Our client is seeking a highly analytical and experienced Remote Senior Quantitative Analyst to join their esteemed financial services team. This fully remote position requires a deep understanding of financial markets, advanced statistical modeling, and sophisticated programming skills. You will be responsible for developing and implementing complex quantitative models for pricing, risk management, and trading strategies across various asset classes. The ideal candidate possesses a strong academic background in a quantitative field, extensive experience in the banking and finance industry, and proficiency in programming languages such as Python, R, C++, or MATLAB. You should be adept at data analysis, model validation, and interpreting complex financial data to provide actionable insights. This role involves collaborating closely with traders, portfolio managers, and risk officers to support strategic decision-making and enhance profitability. A key aspect of this position is staying abreast of market trends, regulatory changes, and advancements in quantitative finance methodologies. This is an exceptional opportunity for a seasoned quant professional to contribute significantly to a leading financial institution from a remote setting. You will have the autonomy to drive innovation in financial modeling and the responsibility to ensure the integrity and effectiveness of our quantitative frameworks. The ability to mentor junior analysts and lead complex research projects is highly valued. We are looking for an individual who is passionate about financial markets, possesses exceptional problem-solving skills, and can translate complex mathematical concepts into practical financial applications. Experience with machine learning techniques applied to finance, derivatives pricing, or algorithmic trading would be a significant asset. You will be instrumental in shaping our client's quantitative strategies and driving competitive advantage in the financial landscape.
Responsibilities:
Responsibilities:
- Develop, test, and implement sophisticated quantitative models for financial markets.
- Design and build models for asset pricing, risk management, and trading strategies.
- Analyze large datasets to identify market trends, patterns, and opportunities.
- Perform rigorous model validation and back-testing to ensure accuracy and reliability.
- Collaborate with business stakeholders to understand their needs and provide quantitative solutions.
- Communicate complex quantitative findings and recommendations clearly to non-technical audiences.
- Stay current with advancements in quantitative finance, econometrics, and machine learning.
- Contribute to the development of trading algorithms and execution strategies.
- Ensure compliance with regulatory requirements related to financial modeling.
- Mentor and guide junior quantitative analysts.
- Document methodologies, assumptions, and results thoroughly.
- Research and evaluate new data sources and analytical techniques.
- Master's degree or Ph.D. in a quantitative field such as Finance, Mathematics, Statistics, Physics, or Computer Science.
- Minimum of 5-7 years of experience in quantitative analysis within the banking and finance sector.
- Expertise in financial modeling, statistical analysis, and econometrics.
- Proficiency in programming languages such as Python, R, C++, or MATLAB.
- Strong understanding of financial markets, derivatives, and risk management principles.
- Experience with machine learning techniques applied to finance is highly desirable.
- Excellent analytical, problem-solving, and critical thinking skills.
- Ability to work independently and manage multiple projects effectively in a remote environment.
- Strong written and verbal communication skills.
- Familiarity with financial databases (e.g., Bloomberg, Refinitiv) is a plus.
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Remote Senior Quantitative Analyst (Banking & Finance)
Posted 17 days ago
Job Viewed
Job Description
Our client, a leading global financial institution, is seeking a highly skilled and experienced Senior Quantitative Analyst to join their sophisticated and entirely remote trading strategies team. This role is critical for developing, implementing, and refining complex mathematical models and algorithms that drive trading decisions across various asset classes. You will work on challenging problems in areas such as algorithmic trading, risk management, portfolio optimization, and derivative pricing. The ideal candidate will possess a strong academic background in a quantitative field, coupled with extensive hands-on experience in developing and deploying quantitative models in a real-world trading environment. As a remote-first employee, you will collaborate virtually with traders, technologists, and other quants to develop cutting-edge solutions. This position demands exceptional analytical rigor, programming proficiency, and a deep understanding of financial markets. You will be instrumental in enhancing the firm's trading performance and risk management capabilities through innovative quantitative techniques.
Key Responsibilities:
Key Responsibilities:
- Design, develop, backtest, and implement quantitative trading strategies and models.
- Conduct in-depth research into financial markets to identify new trading opportunities and sources of alpha.
- Develop and maintain sophisticated pricing models for a range of financial derivatives.
- Implement and refine risk management frameworks and models to quantify and mitigate market risk.
- Collaborate closely with software engineers to translate quantitative models into robust, production-ready trading systems.
- Analyze large datasets to identify patterns, trends, and correlations relevant to trading and risk.
- Monitor and evaluate the performance of existing trading strategies, making adjustments as necessary.
- Stay abreast of the latest academic research and industry developments in quantitative finance.
- Communicate complex quantitative concepts and findings clearly to traders, management, and other stakeholders.
- Contribute to the continuous improvement of the quantitative team's methodologies and tools.
- Advanced degree (Master's or PhD) in a highly quantitative field such as Mathematics, Physics, Statistics, Computer Science, or Financial Engineering.
- Minimum of 5 years of experience as a Quantitative Analyst or in a similar role within the financial industry.
- Proven track record of developing and implementing successful quantitative trading strategies.
- Strong proficiency in programming languages commonly used in quantitative finance, such as Python, C++, or R.
- Deep understanding of statistical modeling, time series analysis, machine learning, and financial econometrics.
- Expertise in derivative pricing, risk management, and portfolio optimization.
- Familiarity with large-scale data analysis and database technologies.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and interpersonal skills, with the ability to work effectively in a remote, collaborative environment.
- Experience with front-office trading systems and electronic markets is a plus.
This advertiser has chosen not to accept applicants from your region.
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Remote Senior Quantitative Analyst (Banking & Finance)
Posted 4 days ago
Job Viewed
Job Description
Our client, a leading financial institution, is seeking a highly analytical and experienced Remote Senior Quantitative Analyst to join their innovative finance team. This role is integral to developing and implementing sophisticated mathematical models and statistical techniques to support trading strategies, risk management, and financial product development. You will be responsible for designing, testing, and validating complex financial models, analyzing large datasets to identify market trends and opportunities, and providing quantitative insights to senior management. This position requires a deep understanding of financial markets, derivatives pricing, risk modeling (e.g., VaR, CVA), and econometrics. Proficiency in programming languages such as Python, R, C++, or MATLAB is essential, along with strong database management skills (SQL). The ideal candidate will possess exceptional quantitative aptitude, advanced degrees (Master's or Ph.D.) in a quantitative field like Mathematics, Statistics, Physics, or Financial Engineering, and a proven track record of applying quantitative methods in a banking or financial services environment. You must be adept at communicating complex technical concepts to non-technical stakeholders and collaborate effectively within a remote team structure. This is a challenging and rewarding opportunity to contribute to cutting-edge financial analysis and decision-making from the convenience of your home office. Your work will directly influence investment strategies and risk mitigation efforts, ensuring the financial health and growth of the organization. We are looking for an individual who is proactive, detail-oriented, and capable of working independently on challenging quantitative problems. The ability to stay current with evolving financial regulations and market dynamics is crucial. If you excel in a rigorous, data-driven environment and are passionate about leveraging advanced analytics to solve complex financial challenges, we encourage you to apply. Your expertise will be instrumental in shaping financial strategies for operations linked to Thika, Kiambu, KE .
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