2 Senior Remote Quantitative Analyst jobs in whatjobs
Senior Remote Quantitative Analyst
Posted 22 days ago
Job Viewed
Job Description
Our client, a leading financial institution with a global presence, is actively seeking a highly analytical and mathematically adept Senior Remote Quantitative Analyst to join our fully remote financial modeling and analytics team. This crucial role will involve developing, implementing, and validating complex quantitative models used for risk management, trading strategies, pricing derivatives, and portfolio optimization. The ideal candidate will possess a robust understanding of financial markets, advanced statistics, stochastic calculus, and programming skills. Proficiency in languages such as Python, R, C++, or similar, along with experience in database management and data visualization tools, is essential. You will collaborate closely with portfolio managers, traders, risk officers, and IT professionals across various time zones, translating complex data into actionable financial insights. This fully remote position offers an exceptional opportunity to work from anywhere, contributing to critical financial decision-making processes and shaping innovative financial products. We are looking for a detail-oriented, problem-solving professional with a strong quantitative background, exceptional analytical capabilities, and excellent communication skills, who thrives in a collaborative remote environment. Your ability to rigorously test and refine models, ensuring their accuracy and reliability, will be paramount.
Responsibilities:
Responsibilities:
- Develop, implement, and maintain quantitative models for pricing, risk management, and trading.
- Conduct statistical analysis of financial data to identify market trends and opportunities.
- Back-test and validate trading strategies and risk models.
- Build and maintain databases of financial market data.
- Create visualizations and reports to communicate complex quantitative findings to stakeholders.
- Collaborate with trading desks, portfolio managers, and risk departments.
- Ensure models comply with regulatory requirements and internal policies.
- Research and implement new quantitative techniques and methodologies.
- Automate reporting processes and data analysis tasks.
- Stay updated on financial market developments and quantitative finance research.
- Master's or Ph.D. in a quantitative field such as Financial Engineering, Mathematics, Statistics, Physics, Computer Science, or Economics.
- Minimum of 7 years of experience in quantitative finance or a related analytical role.
- Expertise in programming languages such as Python, R, C++, or Java.
- Strong understanding of financial derivatives, risk management, and portfolio theory.
- Proficiency in statistical modeling, econometrics, and machine learning techniques.
- Experience with financial databases (e.g., Bloomberg, Refinitiv) is highly desirable.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong written and verbal communication skills for effective remote collaboration.
- Ability to manage complex projects and deliver results independently in a remote setting.
- Experience with SQL and NoSQL databases.
This advertiser has chosen not to accept applicants from your region.
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Senior Remote Quantitative Analyst
Posted 12 days ago
Job Viewed
Job Description
Our client, a leading financial institution, is seeking an exceptional Senior Remote Quantitative Analyst to join their dynamic risk management and trading strategies team. This hybrid role offers the flexibility of working remotely for a significant portion of the week, complemented by occasional in-office collaboration sessions. The ideal candidate will possess a strong mathematical and statistical background, coupled with extensive experience in financial modeling and quantitative analysis. You will be instrumental in developing, implementing, and validating complex financial models used for risk assessment, pricing derivatives, portfolio optimization, and algorithmic trading strategies. This role involves rigorous data analysis, statistical inference, and the application of advanced programming skills to derive actionable insights from large datasets. You will work closely with traders, portfolio managers, and risk officers to translate business needs into quantitative solutions. Key responsibilities include backtesting trading strategies, conducting stress tests, and performing sensitivity analyses. The Senior Remote Quantitative Analyst will also contribute to the continuous refinement of existing models and the exploration of new quantitative methodologies. Excellent communication skills are paramount to effectively present complex analytical findings and model methodologies to both technical and non-technical audiences. A proactive approach to staying abreast of market trends, regulatory changes, and advancements in quantitative finance is essential. This position requires a highly analytical mind, a meticulous attention to detail, and the ability to thrive in a fast-paced, intellectually stimulating environment. If you are a top-tier quantitative professional looking for a challenging hybrid role that combines remote flexibility with impactful work in the financial markets, we encourage you to apply.
Responsibilities:
Responsibilities:
- Develop, implement, and maintain quantitative models for pricing, risk management, and trading.
- Conduct sophisticated statistical analysis and data mining on financial market data.
- Design and backtest algorithmic trading strategies.
- Perform sensitivity analyses and stress testing on portfolios and risk exposures.
- Collaborate with trading desks, risk management, and other stakeholders to understand requirements and provide solutions.
- Document model methodologies, assumptions, and validation procedures.
- Stay current with academic research and industry trends in quantitative finance.
- Present complex analytical results and model insights to senior management and business partners.
- Ensure compliance with internal policies and external regulations.
- Master's degree or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering.
- Minimum of 6 years of relevant experience in quantitative analysis within the financial services industry.
- Proficiency in programming languages such as Python, R, C++, or Java.
- Strong knowledge of financial markets, derivatives, and risk management principles.
- Experience with statistical modeling, econometrics, machine learning, and time series analysis.
- Excellent analytical, problem-solving, and critical thinking skills.
- Superb communication and presentation skills, with the ability to explain complex concepts clearly.
- Proven ability to manage projects and work independently, with effective time management.
- Experience in a hybrid work environment is preferred.
This advertiser has chosen not to accept applicants from your region.
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