346 Algorithmic Trading jobs in India

Quantitative Trader

Dindigul, Tamil Nadu GoQuant

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Quantitative Trading (Paid) - GoQuant Technologies Inc.


About Us

GoQuant develops solutions that make life easier and more profitable for digital asset traders and researchers. We do so primarily by increasing transparency, boosting speed, and placing decisions in the hands of users.


We currently offer two solutions: GoMarket and GoTrade. GoMarket is a subscription service that delivers low-latency digital asset data via WebSocket. Features include a unified querying language that allows users to easily bypass exchange-specific protocols to access data. GoTrade is a trade execution platform that allows clients to trade digital assets—using multiple interfaces (Rest API, UI, WebSocket, Redis, etc.) to rapidly interact and trade with cryptocurrency exchanges.


Our infrastructure is built with performance, flexibility, and reliability in mind, leveraging technologies across Python, C++, and cloud-based systems.


This is an exciting time for the GoQuant team as we onboard clients and rapidly build out our solutions to meet their needs.


Job Description:

We are looking for a Quantitative Trader with experience or a strong interest in trading, market microstructure, and quantitative methods. This role will offer hands-on experience with trading strategies, data analysis, and statistical modeling applied to digital asset markets.


Quantitative Traders will work closely with other researchers, engineers, and product managers and report directly to the Head of Research. This is a great opportunity to gain practical experience in the fast-paced world of fintech and cryptocurrency trading.


Responsibilities:

Conduct research on cryptocurrency markets, including price modeling, volatility analysis, and market microstructure.

Develop and backtest algorithmic trading strategies using quantitative methods.

Analyze large datasets across multiple exchanges to uncover patterns and identify trading opportunities.

Create research reports and visualizations to communicate findings to stakeholders.

Collaborate with engineers to integrate research into production trading systems.

Support the development of risk management and portfolio optimization models.


Success Factors:

We are looking for passionate, motivated individuals who are eager to learn and grow within a dynamic startup environment. Here are a few attributes of a successful candidate:


Curiosity and Resourcefulness: GoQuant is a startup where natural aptitude, individual capability, and resourcefulness thrive.


Team Player: We believe in building strong, talented teams. As a Quantitative Trader, you'll have the opportunity to learn from those around you and contribute to a high-performing team.

Integrity and Growth Mindset: We're looking for individuals who defend their positions with passion, but also maintain a bias toward ‘doing right’ rather than ‘being right.’


Qualifications (not mandatory):

Bachelor’s or Master’s degree in a quantitative field (e.g., Computer Science, Mathematics, Econometrics, Computational Finance, Physics).

Strong foundation in mathematics, statistics, or econometrics (e.g., probability, linear algebra, calculus).

Programming experience in Python, R, MATLAB, or related tools.

Familiarity with cryptocurrency markets and trading concepts.

Experience with data libraries such as pandas, numpy, scipy, and statistical modeling techniques.

Interest in time series analysis and algorithmic trading strategies.

Strong analytical and problem-solving skills.

Clear communication and ability to present research findings effectively.


How to Apply:

If you’re interested in this position, please apply! Candidates who may not meet all the qualification criteria are still encouraged to apply. We are looking for passionate, eager learners who are excited about the project at hand.


You can apply via the platform where you found this job posting (e.g., ).


GoQuant Technologies Incorporated is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.


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Quantitative Analyst - Algorithmic Trading

400001 Mumbai, Maharashtra ₹120000 Annually WhatJobs

Posted 2 days ago

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full-time
Our client, a prominent institution in the Banking & Finance sector, is looking for a highly skilled Quantitative Analyst to join their sophisticated trading division in Mumbai, Maharashtra, IN . This role is critical for developing and implementing cutting-edge quantitative models and algorithms for high-frequency trading strategies. The successful candidate will possess a robust mathematical background, exceptional programming skills, and a deep understanding of financial markets and derivatives. You will work within a fast-paced, highly collaborative environment, contributing to the firm's success through rigorous analysis and innovative solutions.

Key responsibilities include:
  • Developing, back-testing, and deploying complex quantitative models for trading strategies.
  • Designing and implementing algorithmic trading systems.
  • Analyzing large datasets to identify trading opportunities and market inefficiencies.
  • Performing statistical analysis and financial modeling.
  • Collaborating with traders and developers to refine and optimize trading strategies.
  • Researching and evaluating new trading technologies and methodologies.
  • Monitoring the performance of trading algorithms and making necessary adjustments.
  • Contributing to the firm's quantitative research and development efforts.
  • Ensuring compliance with regulatory requirements and risk management protocols.

Qualifications:
  • Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering.
  • Proven experience in quantitative analysis, algorithmic trading, or financial modeling.
  • Strong programming skills in languages like Python, C++, or R.
  • In-depth knowledge of financial markets, derivatives, and trading strategies.
  • Experience with statistical analysis, machine learning, and data mining techniques.
  • Excellent problem-solving skills and a rigorous analytical mindset.
  • Strong communication and teamwork abilities.
  • Experience with big data technologies is a plus.

This hybrid position allows for a blend of on-site collaboration at our Mumbai, Maharashtra, IN office and remote work, offering a dynamic work-life balance. We seek individuals who are driven by intellectual curiosity and possess a passion for quantitative finance.
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Quantitative Analyst - Algorithmic Trading

800001 Patna, Bihar ₹1200000 Annually WhatJobs

Posted 5 days ago

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full-time
Our client, a prominent player in the financial markets, is seeking a highly analytical and motivated Quantitative Analyst to join their thriving trading division. This is a fully remote position, allowing you to contribute your expertise from anywhere. As a Quantitative Analyst specializing in algorithmic trading, you will be at the forefront of developing, backtesting, and deploying sophisticated trading strategies. Your role will involve extensive data analysis, statistical modeling, and the application of machine learning techniques to identify market opportunities and generate alpha. You will collaborate closely with traders, developers, and portfolio managers to refine strategies and optimize execution. Key responsibilities include researching and developing new quantitative models, analyzing historical market data, and implementing predictive algorithms. You will also be responsible for performance monitoring, risk management, and ensuring the robustness of trading systems. The ideal candidate will possess a strong background in mathematics, statistics, computer science, or a related quantitative field, coupled with a deep understanding of financial markets and trading instruments. Proficiency in programming languages such as Python, C++, or R is essential, along with experience in data analysis libraries and machine learning frameworks. This role demands a passion for quantitative finance, exceptional problem-solving abilities, and the capacity to work independently in a fast-paced, results-oriented remote environment. Your insights will directly impact trading performance and contribute to the firm's success.

Responsibilities:
  • Develop, test, and implement quantitative trading strategies.
  • Conduct in-depth data analysis using statistical and econometric methods.
  • Build and validate predictive models and machine learning algorithms for financial markets.
  • Collaborate with traders and developers to refine trading systems and execution logic.
  • Monitor the performance of trading strategies and identify areas for improvement.
  • Perform risk analysis and implement risk management techniques for trading portfolios.
  • Research new data sources and analytical techniques.
  • Backtest trading strategies rigorously on historical data.
  • Ensure the accuracy and integrity of financial data used for modeling.
  • Stay updated on market microstructure, trading technologies, and quantitative finance research.
  • Document methodologies, strategies, and results clearly.
Qualifications:
  • Master's or Ph.D. in Mathematics, Statistics, Physics, Computer Science, Financial Engineering, or a related quantitative discipline.
  • Proven experience (3+ years) in quantitative analysis, algorithmic trading, or a similar quantitative finance role.
  • Strong programming skills in Python, C++, or R, including relevant libraries (e.g., Pandas, NumPy, Scikit-learn).
  • Expertise in statistical modeling, time series analysis, and machine learning techniques.
  • Deep understanding of financial markets, instruments, and trading concepts.
  • Experience with large datasets and data manipulation.
  • Excellent analytical, problem-solving, and critical thinking skills.
  • Ability to work independently and efficiently in a remote setting.
  • Strong communication skills to articulate complex quantitative ideas.
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Senior Algorithmic Trading Strategist

600001 Chennai, Tamil Nadu ₹200000 Annually WhatJobs

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full-time
Our client, a prestigious quantitative trading firm, is seeking an accomplished Senior Algorithmic Trading Strategist to join their elite quantitative research team. This is a fully remote position, allowing you to contribute to cutting-edge financial strategies from anywhere in the world. You will be responsible for developing, backtesting, and implementing sophisticated algorithmic trading strategies across various asset classes. The ideal candidate possesses a profound understanding of financial markets, advanced statistical modeling, and programming expertise.

Your primary focus will be on researching and designing novel trading strategies, identifying market inefficiencies, and leveraging large datasets to gain a competitive edge. This involves extensive data analysis, signal generation, and risk management. You will work closely with traders and developers to translate strategy concepts into robust, production-ready trading systems. A strong background in mathematics, econometrics, machine learning, and C++ or Python programming is essential. You will continuously monitor the performance of deployed strategies, conduct rigorous performance analysis, and iterate on models to adapt to changing market conditions. This role requires a blend of intellectual curiosity, quantitative rigor, and a deep passion for financial markets.

Key Responsibilities:
  • Research, develop, and backtest quantitative trading strategies.
  • Identify and exploit market inefficiencies across various asset classes.
  • Analyze large datasets using statistical and machine learning techniques.
  • Design and implement robust risk management frameworks for trading strategies.
  • Collaborate with traders and software engineers to deploy strategies into live trading environments.
  • Monitor strategy performance, conduct post-trade analysis, and provide insights.
  • Continuously refine and optimize existing trading algorithms.
  • Stay abreast of academic research and industry trends in quantitative finance.
  • Contribute to the firm's intellectual property through innovative research.
  • Document strategy designs, methodologies, and implementation details.

The successful candidate will hold a Master's or PhD in a quantitative field such as Financial Engineering, Statistics, Mathematics, Computer Science, or Physics. A minimum of 5-7 years of experience in quantitative trading, algorithmic strategy development, or related roles within the financial industry is required. Proven track record of developing and implementing successful trading strategies is essential. Expertise in statistical modeling, time-series analysis, and machine learning algorithms is mandatory. Proficiency in programming languages like Python (NumPy, Pandas, Scikit-learn) and/or C++ is a must. Deep understanding of financial markets, derivatives, and trading systems is crucial. Exceptional problem-solving, analytical, and communication skills are necessary. This is an unparalleled opportunity to innovate in the field of algorithmic trading and shape the future of quantitative finance in a dynamic, fully remote setting, contributing to our operations near Chennai, Tamil Nadu, IN .
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Senior Quantitative Analyst - Algorithmic Trading

695001 Thiruvananthapuram, Kerala ₹1200000 Annually WhatJobs

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full-time
Our client, a leading financial institution, is seeking a highly skilled Senior Quantitative Analyst to join their innovative trading strategies team in Thiruvananthapuram, Kerala, IN . This role involves developing and implementing sophisticated quantitative models for algorithmic trading strategies across various asset classes. The ideal candidate will possess a strong background in mathematics, statistics, finance, and programming, with proven experience in designing, backtesting, and deploying trading algorithms. You will collaborate closely with portfolio managers and traders to identify market opportunities, refine strategies, and manage risk. This is a challenging and rewarding position for a mathematically inclined individual looking to make a significant impact in the fast-paced world of quantitative finance.

Key Responsibilities:
  • Design, develop, and implement quantitative models for high-frequency and low-frequency trading strategies.
  • Conduct rigorous backtesting and statistical analysis of trading strategies using historical market data.
  • Research and identify new alpha generation opportunities based on market inefficiencies and statistical patterns.
  • Collaborate with traders and portfolio managers to understand market dynamics and translate them into algorithmic strategies.
  • Develop and maintain robust trading system infrastructure, ensuring reliability and performance.
  • Monitor the performance of live trading strategies, identify deviations, and implement necessary adjustments.
  • Manage risk associated with algorithmic trading strategies and ensure compliance with regulatory requirements.
  • Stay current with the latest advancements in quantitative finance, machine learning, and financial econometrics.
  • Document research findings, model specifications, and trading strategies.
  • Mentor junior quantitative analysts and contribute to the team's knowledge base.

Qualifications:
  • Master's or Ph.D. in Mathematics, Statistics, Physics, Computer Science, Financial Engineering, or a related quantitative field.
  • Minimum of 5 years of experience in quantitative analysis, algorithmic trading, or related roles within the financial industry.
  • Strong proficiency in programming languages such as Python, C++, or Java, with experience in data analysis libraries (e.g., NumPy, Pandas).
  • Expertise in statistical modeling, time series analysis, machine learning techniques, and financial econometrics.
  • Deep understanding of financial markets, various asset classes, and trading mechanics.
  • Proven experience in designing, backtesting, and implementing quantitative trading strategies.
  • Excellent analytical, problem-solving, and critical thinking skills.
  • Strong communication and presentation skills, with the ability to explain complex concepts clearly.
  • Experience with large datasets and big data technologies is a plus.
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Senior Quantitative Analyst - Algorithmic Trading

452001 Bhopal, Madhya Pradesh ₹160000 Annually WhatJobs

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full-time
Our client, a top-tier investment bank with a leading presence in algorithmic trading, is seeking a highly accomplished Senior Quantitative Analyst. This is a fully remote position where you will be instrumental in developing and implementing sophisticated quantitative trading strategies and models. You will leverage your expertise in mathematics, statistics, and programming to analyze market data, identify trading opportunities, and build robust algorithms that drive profitability. Responsibilities include researching and developing statistical arbitrage, high-frequency trading, and market-making strategies. You will collaborate closely with traders, portfolio managers, and other quants to refine models, backtest strategies, and execute trades in live market environments. The ideal candidate possesses a Ph.D. or Master's degree in a quantitative field such as Finance, Mathematics, Statistics, Physics, or Computer Science, coupled with extensive experience in quantitative finance and programming (Python, C++). A deep understanding of financial markets, derivatives pricing, and econometrics is essential. You must have a proven ability to translate complex mathematical concepts into practical, high-performance trading systems. Excellent problem-solving skills, attention to detail, and the capacity to work effectively under pressure in a fast-paced, remote setting are crucial. We are looking for a driven individual who can contribute innovative ideas and significantly impact our trading performance. This is an exceptional opportunity to work with a world-class team and push the boundaries of quantitative finance.

Key Responsibilities:
  • Develop, backtest, and deploy quantitative trading strategies and algorithms.
  • Analyze large datasets of market data to identify profitable trading opportunities.
  • Build and maintain statistical models for risk management and portfolio optimization.
  • Collaborate with traders and portfolio managers to refine trading strategies.
  • Implement and optimize trading algorithms for execution across various asset classes.
  • Conduct thorough research into new quantitative methodologies and financial instruments.
  • Ensure the accuracy, performance, and reliability of trading systems.
  • Monitor market conditions and adapt strategies as needed.
  • Communicate complex quantitative concepts and results to diverse stakeholders.
  • Stay abreast of the latest advancements in quantitative finance and technology.
Qualifications:
  • Ph.D. or Master's degree in Quantitative Finance, Mathematics, Statistics, Physics, Computer Science, or a related field.
  • Minimum of 5 years of experience in quantitative analysis or quantitative trading roles.
  • Proven experience in developing and implementing algorithmic trading strategies.
  • Strong proficiency in programming languages such as Python and C++.
  • Deep understanding of financial markets, derivatives, and econometrics.
  • Expertise in statistical modeling, machine learning, and data analysis techniques.
  • Experience with risk management frameworks and tools.
  • Excellent analytical, problem-solving, and critical thinking skills.
  • Strong communication and interpersonal skills.
  • Ability to work independently and perform under pressure in a remote environment.
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Senior Quantitative Analyst - Algorithmic Trading

560001 Bangalore, Karnataka ₹180000 Annually WhatJobs

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full-time
Our client, a prestigious financial institution, is seeking a highly skilled and motivated Senior Quantitative Analyst for a fully remote position. This role is critical to the development and refinement of our sophisticated algorithmic trading strategies. You will be responsible for designing, testing, and implementing quantitative models that drive trading decisions across various asset classes. This involves extensive data analysis, statistical modeling, and programming to identify profitable trading opportunities and manage risk effectively. You will collaborate with a team of talented quants and traders, contributing to the continuous innovation of our trading infrastructure. Key responsibilities include researching and developing new trading algorithms, backtesting strategies using historical data, and monitoring the performance of live trading systems. You will also be involved in optimizing existing models to improve profitability and reduce latency. A deep understanding of financial markets, econometrics, and machine learning techniques is essential. The ideal candidate will possess exceptional programming skills in languages such as Python, C++, or R, coupled with a strong academic background in a quantitative discipline. This role requires a proactive individual who can work independently, manage complex analytical tasks, and communicate technical findings clearly to both technical and non-technical audiences. The ability to thrive in a fast-paced, competitive, and remote environment is crucial. You will have the opportunity to work on cutting-edge financial technologies and make a significant impact on our firm's trading performance, all while enjoying the flexibility of a remote work arrangement.
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Senior Quantitative Analyst (Algorithmic Trading)

440001 Nagpur, Maharashtra ₹110000 Annually WhatJobs

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full-time
Our client is actively seeking a highly skilled Senior Quantitative Analyst with a strong background in algorithmic trading to join their pioneering team. This is a fully remote, full-time role, providing unparalleled flexibility to work from any location. You will play a critical role in developing, backtesting, and deploying sophisticated quantitative trading strategies across various asset classes. Your responsibilities will encompass designing complex mathematical models, performing statistical analysis on market data, and identifying trading opportunities. You will collaborate closely with traders and developers to implement and optimize trading algorithms, ensuring high performance and risk management. This role requires deep expertise in programming languages such as Python, R, or C++, along with a solid understanding of financial markets, econometrics, and machine learning techniques. The ideal candidate possesses exceptional analytical and problem-solving skills, with a proven ability to translate complex data into actionable trading insights. Strong communication skills are essential for articulating research findings and strategy performance to stakeholders in a remote setting. This position offers a unique opportunity to work on challenging and rewarding projects in a fast-paced environment, contributing to the firm's success while enjoying the benefits of a remote work setup. We are looking for a proactive individual who can independently drive research initiatives and contribute to the advancement of our quantitative trading capabilities. Your experience with high-frequency trading systems, derivative pricing, or portfolio optimization will be a significant advantage. The role also involves staying abreast of market trends and regulatory changes, ensuring our strategies remain competitive and compliant.
Location: While this role is fully remote, it is based in Nagpur, Maharashtra, IN .
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Senior Quantitative Analyst - Algorithmic Trading

452001 Indore, Madhya Pradesh ₹180000 Annually WhatJobs

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full-time
Our client, a highly reputable investment bank known for its sophisticated trading strategies and technological innovation, is seeking a talented Senior Quantitative Analyst to join their elite algorithmic trading team in Indore, Madhya Pradesh . This role is at the forefront of developing and refining complex mathematical models and trading algorithms that drive profitable strategies across various financial markets. The ideal candidate will possess a strong academic background in a quantitative field (e.g., Mathematics, Statistics, Physics, Computer Science, Financial Engineering) and extensive practical experience in financial modeling, statistical analysis, and programming within a trading environment. You will be responsible for researching, designing, backtesting, and implementing quantitative trading strategies, analyzing market microstructure, and identifying predictive signals. A deep understanding of financial instruments, market dynamics, and risk management principles is essential. Proficiency in programming languages commonly used in quantitative finance, such as Python, C++, R, or Java, is mandatory, along with expertise in statistical modeling, machine learning techniques, and data analysis tools. You will collaborate closely with portfolio managers, traders, and software developers to translate theoretical models into production-ready trading systems. This position demands exceptional analytical rigor, creativity in problem-solving, and the ability to work effectively under pressure in a fast-paced, results-oriented environment. This is an unparalleled opportunity to contribute to a world-class trading operation and shape the future of quantitative finance within a highly rewarding setting.

Key Responsibilities:
  • Research, design, develop, and backtest quantitative trading strategies.
  • Develop and implement statistical and machine learning models for market prediction and signal generation.
  • Analyze historical and real-time market data to identify trading opportunities and risks.
  • Collaborate with traders and portfolio managers to refine strategies and execution.
  • Build and maintain robust data infrastructure and analytical tools.
  • Optimize trading algorithms for performance, efficiency, and risk management.
  • Conduct in-depth research into market microstructure and asset pricing.
  • Ensure the accuracy and integrity of quantitative models and their implementation.
  • Stay abreast of the latest advancements in quantitative finance, econometrics, and computational methods.
  • Communicate complex quantitative concepts clearly to both technical and non-technical audiences.

Qualifications:
  • Master's or Ph.D. in Mathematics, Statistics, Physics, Computer Science, Financial Engineering, or a related quantitative discipline.
  • Minimum of 5 years of experience in quantitative analysis, algorithmic trading, or financial modeling.
  • Expert programming skills in Python, C++, R, or Java, with experience in relevant libraries (e.g., NumPy, Pandas, Scikit-learn).
  • Strong knowledge of financial markets, instruments, and trading strategies.
  • Proficiency in statistical modeling, time series analysis, and machine learning techniques.
  • Experience with data analysis, database management, and high-performance computing.
  • Excellent analytical, problem-solving, and critical thinking abilities.
  • Strong communication and presentation skills.
  • Ability to work independently and in a collaborative team environment.
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Senior Quantitative Analyst - Algorithmic Trading

201301 Noida, Uttar Pradesh ₹120000 Annually WhatJobs

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full-time
Our client, a leading global financial institution, is seeking a highly analytical and innovative Senior Quantitative Analyst to join their advanced trading strategies team. This is a fully remote position, offering the opportunity to work on sophisticated financial modeling and algorithmic trading development from anywhere.

Responsibilities:
  • Develop, backtest, and deploy high-frequency and low-latency trading algorithms for various asset classes.
  • Conduct in-depth statistical and econometric analysis of market data to identify trading opportunities.
  • Design and implement predictive models for market movements, volatility, and price discovery.
  • Collaborate closely with traders and technologists to translate research ideas into production-ready trading strategies.
  • Optimize existing trading algorithms for performance, risk management, and efficiency.
  • Manage and analyze large datasets of historical and real-time market data.
  • Stay current with academic research and industry trends in quantitative finance and machine learning.
  • Develop and maintain robust risk management frameworks for trading strategies.
  • Perform ad-hoc analysis and research to support trading desk initiatives.
  • Contribute to the continuous improvement of the quantitative trading infrastructure.
Qualifications:
  • Master's or Ph.D. in a quantitative field such as Financial Engineering, Mathematics, Statistics, Physics, or Computer Science.
  • Minimum of 5 years of experience in quantitative finance, algorithmic trading, or a related role.
  • Proven expertise in statistical modeling, time series analysis, and machine learning techniques.
  • Strong programming skills in Python, C++, or Java, with experience in data manipulation libraries (e.g., Pandas, NumPy).
  • Experience with financial market data and trading platforms.
  • Deep understanding of financial markets, derivatives, and risk management.
  • Excellent analytical, problem-solving, and communication skills.
  • Ability to work independently and manage complex projects in a remote setting.
  • Experience with high-performance computing and distributed systems is a plus.
  • Familiarity with distributed data processing frameworks like Spark.
This remote role is ideal for a self-motivated quant who thrives in a challenging and dynamic environment. Our client offers an exceptional compensation package, performance-based bonuses, and significant opportunities for career advancement within a leading financial services organization.
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