228 Trade Analyst jobs in India
Senior Quantitative Analyst - Trading Strategies
248001 Dehradun, Uttarakhand
₹1600000 Annually
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Our client is seeking a highly analytical and experienced Senior Quantitative Analyst to join their dynamic Trading Strategies team. This role offers a challenging opportunity to design, develop, and implement sophisticated quantitative models that drive trading decisions and enhance portfolio performance. You will work collaboratively within a hybrid model, balancing focused remote work with essential in-office collaboration.
Responsibilities:
This role is based in Dehradun, Uttarakhand, IN , and offers a hybrid work arrangement, combining the flexibility of remote work with the benefits of in-office teamwork. If you possess a strong quantitative background and a passion for financial markets, we encourage you to explore this exciting career opportunity.
Responsibilities:
- Develop and backtest complex quantitative trading strategies across various asset classes.
- Build, test, and maintain robust financial models for risk management, portfolio optimization, and pricing.
- Analyze large datasets to identify market patterns, correlations, and predictive signals.
- Implement quantitative models in high-level programming languages (e.g., Python, R, C++).
- Collaborate with portfolio managers and traders to translate research findings into actionable trading strategies.
- Monitor the performance of deployed strategies and conduct regular performance attribution analysis.
- Contribute to the innovation pipeline by researching new methodologies and technologies in quantitative finance.
- Document model specifications, assumptions, and methodologies clearly and comprehensively.
- Ensure adherence to all regulatory requirements and internal risk management policies.
- Master's or Ph.D. in a quantitative field such as Financial Engineering, Mathematics, Statistics, Physics, Computer Science, or Economics.
- 5+ years of experience in quantitative analysis, algorithmic trading, or a similar role within the financial industry.
- Strong programming skills in Python or R, and proficiency in C++ is highly desirable.
- Deep understanding of statistical modeling, time series analysis, econometrics, and machine learning techniques.
- Expertise in financial markets, derivatives, and portfolio management principles.
- Proven ability to develop and implement complex quantitative models from concept to production.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication skills, with the ability to explain complex quantitative concepts to non-technical stakeholders.
- Experience working in a hybrid work environment, demonstrating self-discipline and effective remote collaboration.
This role is based in Dehradun, Uttarakhand, IN , and offers a hybrid work arrangement, combining the flexibility of remote work with the benefits of in-office teamwork. If you possess a strong quantitative background and a passion for financial markets, we encourage you to explore this exciting career opportunity.
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0
Head of Algorithmic Trading Strategies
462001 Bhopal, Madhya Pradesh
₹180000 Annually
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Posted 6 days ago
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Our client is seeking a visionary Head of Algorithmic Trading Strategies to lead the development and implementation of cutting-edge automated trading systems. This is a fully remote position, allowing top talent to contribute to our client's success from anywhere. You will be responsible for designing, building, and refining sophisticated quantitative trading algorithms across various asset classes. This includes conducting extensive market research, backtesting strategies, and optimizing trading performance based on rigorous data analysis. You will lead a team of quantitative analysts and developers, fostering innovation and ensuring the highest standards of code quality and risk management. The ideal candidate will possess a deep understanding of financial markets, statistical modeling, machine learning, and programming languages such as Python, C++, or Java. Proven experience in developing and deploying profitable algorithmic trading strategies is essential. You will work closely with portfolio managers and risk officers to align trading strategies with the firm's overall investment objectives and risk tolerance. This role demands exceptional analytical skills, a strong quantitative background, and the ability to translate complex financial concepts into practical, executable trading logic. If you are a highly driven and innovative quant professional looking to make a significant impact on the future of trading within a dynamic, remote-first environment, we encourage you to apply. This is an opportunity to lead strategy and development for a forward-thinking financial institution based in Bhopal, Madhya Pradesh, IN .
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1
Quantitative Analyst - Algorithmic Trading Strategies
122001 Gurgaon, Haryana
₹1500000 Annually
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Posted 13 days ago
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Our client, a leading financial services firm, is seeking a highly analytical and mathematically skilled Quantitative Analyst to join their Quantitative Strategies team in **Gurugram, Haryana, IN**. This hybrid role involves developing, testing, and implementing sophisticated algorithmic trading strategies across various asset classes. You will leverage advanced statistical methods, machine learning techniques, and programming skills to identify market inefficiencies and generate profitable trading signals. The ideal candidate possesses a Ph.D. or Master's degree in a quantitative discipline, strong programming expertise, and a deep understanding of financial markets.
Key Responsibilities:
Qualifications:
This hybrid role in **Gurugram, Haryana, IN** offers a significant opportunity to contribute to cutting-edge quantitative strategies within a dynamic financial institution.
Key Responsibilities:
- Research, develop, and backtest quantitative trading strategies using historical and real-time market data.
- Implement and deploy trading algorithms in a live trading environment.
- Analyze trading performance, identify areas for improvement, and continuously refine strategies.
- Collaborate with portfolio managers and traders to understand market dynamics and investment objectives.
- Utilize statistical modeling, machine learning, and data mining techniques to uncover trading opportunities.
- Clean, process, and analyze large datasets related to financial markets.
- Develop and maintain tools for strategy development, backtesting, and performance monitoring.
- Stay current with academic research and industry trends in quantitative finance and algorithmic trading.
- Communicate complex quantitative concepts and results clearly to both technical and non-technical stakeholders.
- Ensure compliance with all relevant financial regulations and risk management policies.
Qualifications:
- Ph.D. or Master's degree in Quantitative Finance, Statistics, Mathematics, Physics, Computer Science, or a related field.
- Minimum of 3-5 years of experience in quantitative analysis, algorithmic trading, or a similar role in the financial industry.
- Proven expertise in statistical modeling, time series analysis, and machine learning techniques.
- Strong programming skills in languages such as Python (with libraries like NumPy, Pandas, SciPy, scikit-learn), R, C++, or MATLAB.
- Experience with financial databases and market data platforms.
- Deep understanding of financial markets, asset classes, and trading mechanisms.
- Excellent analytical, problem-solving, and critical thinking abilities.
- Strong communication and presentation skills.
- Ability to work effectively in a fast-paced, collaborative, and hybrid work environment.
- Experience with risk management for trading strategies is a plus.
This hybrid role in **Gurugram, Haryana, IN** offers a significant opportunity to contribute to cutting-edge quantitative strategies within a dynamic financial institution.
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2
Quantitative Analyst - Algorithmic Trading Strategies
160001 Chandigarh, Chandigarh
₹1200000 Annually
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Posted 13 days ago
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Our client, a prestigious global investment bank, is seeking a highly analytical and mathematically gifted Quantitative Analyst to join their advanced trading strategies division. This role, based in our **Chandigarh, Chandigarh, IN** office, offers a unique opportunity to develop, backtest, and implement sophisticated trading algorithms that drive significant market impact. You will be at the forefront of financial innovation, working with massive datasets and cutting-edge technology to identify profitable trading opportunities. The ideal candidate thrives in a fast-paced, intellectually challenging environment and possesses a deep understanding of financial markets, statistical modeling, and programming. Responsibilities include:
- Designing, developing, and implementing quantitative trading models and strategies across various asset classes.
- Conducting rigorous statistical analysis and backtesting of trading ideas using historical and real-time market data.
- Collaborating closely with portfolio managers and traders to understand market dynamics and identify alpha-generating opportunities.
- Optimizing and refining existing trading algorithms for improved performance and risk management.
- Developing robust risk management frameworks for quantitative trading strategies.
- Building and maintaining high-performance computing infrastructure for strategy execution and data analysis.
- Staying current with academic research and industry trends in quantitative finance and algorithmic trading.
- Contributing to the development of internal research tools and platforms.
- Communicating complex quantitative concepts clearly and concisely to both technical and non-technical audiences.
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3
Senior Quantitative Analyst - Trading Strategies
201301 Noida, Uttar Pradesh
₹1200000 Annually
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Posted 14 days ago
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Our client, a prestigious financial institution in Noida, Uttar Pradesh, IN , is seeking a highly analytical and experienced Senior Quantitative Analyst to join their sophisticated trading strategies team. This role demands a deep understanding of financial markets, advanced statistical modeling, and robust programming skills to develop, backtest, and implement complex trading algorithms. You will be at the forefront of identifying market inefficiencies, designing innovative financial instruments, and optimizing portfolio performance. The ideal candidate possesses a strong quantitative background, a proven track record in developing profitable trading strategies, and the ability to collaborate effectively with traders and risk managers.
Responsibilities:
Responsibilities:
- Develop, implement, and refine quantitative trading strategies across various asset classes.
- Conduct in-depth statistical analysis of market data to identify trading opportunities and risks.
- Build and maintain sophisticated financial models for pricing, risk management, and portfolio optimization.
- Perform rigorous backtesting and simulation of trading strategies to evaluate their performance and viability.
- Collaborate closely with portfolio managers and traders to understand market dynamics and implement strategic adjustments.
- Develop and manage high-performance data pipelines for real-time market data.
- Write clean, efficient, and well-documented code in languages such as Python, R, C++, or Java.
- Monitor the performance of live trading strategies and make necessary adjustments to optimize profitability and manage risk.
- Stay abreast of the latest developments in quantitative finance, machine learning, and algorithmic trading.
- Present research findings, strategy performance, and market insights to senior management and relevant stakeholders.
- Ensure compliance with regulatory requirements and internal risk management policies.
- Contribute to the development and mentoring of junior quantitative analysts.
- Proactively identify and investigate anomalies in market data or trading system behavior.
- Evaluate new data sources and technologies for potential application in trading strategy development.
- Master's or Ph.D. in a quantitative field such as Finance, Economics, Mathematics, Statistics, Physics, Computer Science, or a related discipline.
- Minimum of 6 years of experience in quantitative analysis, algorithmic trading, or a related role within the financial industry.
- Proven track record of developing and implementing successful quantitative trading strategies.
- Expertise in statistical modeling, time series analysis, machine learning, and econometrics.
- Strong programming skills in Python, R, C++, or Java, with experience in relevant libraries (e.g., NumPy, SciPy, Pandas, scikit-learn).
- Proficiency with financial databases (e.g., Bloomberg, Refinitiv) and market data.
- Excellent analytical, problem-solving, and critical-thinking skills.
- Strong understanding of financial markets, derivatives, and portfolio theory.
- Ability to work effectively both independently and as part of a collaborative team.
- Excellent written and verbal communication skills, with the ability to explain complex concepts clearly.
- Experience with cloud computing platforms (e.g., AWS, Azure) is a plus.
- High level of integrity and commitment to ethical practices.
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4
Lead Quantitative Analyst - Trading Strategies
641001 Coimbatore, Tamil Nadu
₹180000 Annually
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Posted 16 days ago
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Our client, a renowned financial institution, is actively seeking a highly skilled Lead Quantitative Analyst to join their elite trading strategies team in a fully remote capacity. This is a critical role focused on designing, developing, and implementing sophisticated quantitative models and algorithms that drive high-frequency trading decisions. You will leverage advanced statistical techniques, machine learning, and deep learning methodologies to analyze vast datasets, identify market patterns, and generate profitable trading signals. Key responsibilities include building and backtesting complex trading strategies, optimizing algorithmic execution, collaborating with portfolio managers and traders globally via virtual communication tools, conducting rigorous performance analysis, and staying abreast of the latest advancements in financial markets and quantitative finance. The ideal candidate possesses a Master's or Ph.D. in Quantitative Finance, Mathematics, Statistics, Computer Science, or a related highly analytical field, coupled with at least 7 years of hands-on experience in quantitative trading, algorithmic development, or financial modeling. Fluency in programming languages such as Python, C++, or R, and expertise with financial data platforms are essential. Exceptional problem-solving skills, a keen eye for detail, and the ability to articulate complex quantitative concepts to both technical and non-technical audiences are critical. This remote position offers the ultimate flexibility to work from anywhere while contributing to the cutting edge of financial technology and quantitative trading.
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5
Senior Quantitative Analyst - Trading Strategies
110001 Delhi, Delhi
₹1500000 Annually
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Posted 18 days ago
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Job Description
Our client is seeking an exceptional Senior Quantitative Analyst to spearhead the development and refinement of sophisticated trading strategies in the financial markets. This is a fully remote position, offering the flexibility to work from anywhere while contributing to a high-impact team based in Delhi, Delhi, IN . The ideal candidate will possess a profound understanding of financial mathematics, statistical modeling, and programming, coupled with a proven track record of designing and implementing profitable algorithmic trading systems. You will be responsible for conducting in-depth market research, developing predictive models, backtesting strategies, and optimizing trading execution. This role requires a rigorous, analytical mind, a passion for data-driven decision-making, and the ability to translate complex quantitative concepts into actionable trading logic.
Key Responsibilities:
Qualifications:
This remote-first opportunity offers the chance to be at the forefront of financial innovation, driving algorithmic trading success from anywhere in the world.
Key Responsibilities:
- Design, develop, and implement quantitative trading strategies across various asset classes.
- Conduct extensive research on market microstructure, statistical arbitrage, and time series analysis.
- Build and maintain sophisticated mathematical and statistical models for price prediction and risk assessment.
- Perform rigorous backtesting and statistical analysis of trading strategies.
- Optimize trading algorithms for execution efficiency and profitability.
- Collaborate with portfolio managers and traders to refine strategy implementation.
- Monitor live trading performance and identify areas for improvement.
- Develop tools and infrastructure to support quantitative research and trading operations.
- Stay abreast of the latest advancements in quantitative finance, machine learning, and data science.
- Communicate complex quantitative findings clearly to technical and non-technical stakeholders.
Qualifications:
- Advanced degree (Master's or Ph.D.) in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering.
- Minimum of 5 years of experience in quantitative finance, algorithmic trading, or a related role.
- Strong programming skills in languages such as Python, C++, or R, with experience in relevant libraries (e.g., NumPy, SciPy, Pandas).
- Deep understanding of statistical modeling, time series analysis, machine learning, and econometrics.
- Proven experience in developing and backtesting trading strategies.
- Familiarity with financial markets and various asset classes (equities, futures, options, FX).
- Excellent analytical and problem-solving skills.
- Ability to work independently and manage research projects effectively in a remote setting.
- Strong communication and presentation skills.
- Experience with high-frequency trading systems is a plus.
This remote-first opportunity offers the chance to be at the forefront of financial innovation, driving algorithmic trading success from anywhere in the world.
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6
Principal Quantitative Analyst - Trading Strategies
201301 Noida, Uttar Pradesh
₹150000 Monthly
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Posted 23 days ago
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Our client, a leading financial institution, is seeking a highly skilled and innovative Principal Quantitative Analyst to join their sophisticated trading strategies team. This Hybrid role offers a dynamic work environment, blending in-office collaboration with remote flexibility. The successful candidate will be instrumental in developing, implementing, and refining complex mathematical models and algorithms for high-frequency trading, risk management, and portfolio optimization. You will leverage advanced statistical techniques, machine learning, and data science methodologies to identify profitable trading opportunities and manage market risk effectively. Key responsibilities include conducting in-depth market research, analyzing historical and real-time data, and back-testing trading strategies. You will work closely with traders and portfolio managers to translate quantitative insights into actionable trading decisions. A strong programming background in languages such as Python, C++, or R, along with experience in financial modeling and data visualization tools, is essential. You must possess a deep understanding of financial markets, derivatives, and various asset classes. Excellent problem-solving skills, attention to detail, and the ability to work under pressure in a fast-paced environment are critical. This role requires strong analytical and critical thinking abilities, as well as the capacity to communicate complex quantitative concepts clearly and concisely to both technical and non-technical audiences. The position is based in Noida, Uttar Pradesh, IN , with hybrid work arrangements. You will be part of a collaborative team dedicated to pushing the boundaries of quantitative finance. This is an exceptional opportunity for a seasoned quant professional to contribute to significant financial outcomes and drive innovation within the trading domain.
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7
Quantitative Analyst - Algorithmic Trading Strategies
208001 Kanpur, Uttar Pradesh
₹120000 Annually
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Posted 23 days ago
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Our client, a rapidly expanding FinTech firm specializing in cutting-edge algorithmic trading solutions, is seeking a brilliant and highly analytical Quantitative Analyst to join their elite, fully remote team. This role is paramount in designing, developing, and implementing sophisticated quantitative models and trading strategies that drive profitability in highly dynamic financial markets. You will be responsible for exploring vast datasets, identifying patterns, and translating complex financial theories into actionable trading algorithms. This position demands a profound understanding of statistical modeling, machine learning, time-series analysis, and programming languages such as Python, R, or C++. The ideal candidate will possess exceptional problem-solving skills, a meticulous approach to detail, and the ability to work independently and collaboratively in a virtual environment. Responsibilities include back-testing strategies, developing risk management frameworks, and continuously optimizing trading algorithms based on real-time market performance. You will work closely with traders, portfolio managers, and other quantitative analysts to refine strategies and explore new trading opportunities. A strong academic background in a quantitative discipline is essential, coupled with a demonstrable passion for financial markets and technological innovation. We are looking for an individual who is self-motivated, intellectually curious, and thrives in a challenging, fast-paced, and remote-first setting. Your contributions will directly impact the firm's success by enhancing trading performance and exploring new avenues for alpha generation. The ability to communicate complex quantitative concepts clearly and concisely to both technical and non-technical audiences is crucial. This role offers the unique advantage of contributing to high-stakes financial strategies from your chosen remote location, impacting the market from **Kanpur, Uttar Pradesh, IN**, and beyond.
Responsibilities:
Responsibilities:
- Develop, implement, and back-test quantitative trading strategies across various asset classes.
- Design and build sophisticated mathematical models for pricing, risk management, and prediction.
- Analyze large financial datasets to identify trading opportunities and market inefficiencies.
- Write high-quality, efficient code in Python, C++, or R for strategy implementation and execution.
- Collaborate with traders and portfolio managers to refine trading ideas and execution logic.
- Monitor and optimize the performance of live trading strategies, identifying and addressing issues promptly.
- Conduct rigorous statistical analysis and hypothesis testing on market data.
- Research and apply advanced machine learning techniques to financial modeling.
- Contribute to the development of risk management systems and frameworks.
- Effectively communicate complex quantitative findings to both technical and non-technical stakeholders.
- Advanced degree (Master's or PhD) in Mathematics, Statistics, Computer Science, Physics, Economics, or a related quantitative field.
- Proven experience (3+ years) in quantitative finance, algorithmic trading, or financial modeling.
- Expertise in programming languages such as Python, C++, or R, and relevant libraries (e.g., NumPy, Pandas, SciPy).
- Strong knowledge of statistical modeling, time-series analysis, and machine learning algorithms.
- Familiarity with financial markets, instruments, and trading execution venues.
- Excellent analytical, problem-solving, and critical-thinking skills.
- Ability to work independently and as part of a remote team, with strong communication skills.
- Meticulous attention to detail and a commitment to accuracy.
- Experience with big data technologies and cloud platforms is a plus.
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8
Head of Algorithmic Trading Strategies
440001 Nagpur, Maharashtra
₹3000000 Annually
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Posted 23 days ago
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Our client, a leading quantitative trading firm, is seeking an exceptional Head of Algorithmic Trading Strategies to join their fully remote, elite team. This senior leadership role is crucial for developing, implementing, and managing sophisticated algorithmic trading strategies across various asset classes. The ideal candidate will possess a profound understanding of quantitative finance, statistical modeling, machine learning, and high-frequency trading systems. You will lead a team of highly skilled quantitative analysts and researchers, driving innovation and pushing the boundaries of quantitative trading technology. This position offers a unique opportunity to shape the firm's trading strategies and significantly impact its profitability.
As the Head of Algorithmic Trading Strategies, you will be responsible for the entire lifecycle of trading strategies, from idea generation and research to backtesting, deployment, and ongoing performance monitoring. You will collaborate closely with technology teams to ensure the robust and efficient execution of strategies. A key aspect of this role involves staying ahead of market trends, regulatory changes, and technological advancements to maintain a competitive edge. The ability to translate complex quantitative concepts into clear, actionable insights for stakeholders is essential. This role demands exceptional analytical skills, a rigorous approach to research, and the capacity to thrive in a demanding, results-driven, remote work environment.
Responsibilities:
As the Head of Algorithmic Trading Strategies, you will be responsible for the entire lifecycle of trading strategies, from idea generation and research to backtesting, deployment, and ongoing performance monitoring. You will collaborate closely with technology teams to ensure the robust and efficient execution of strategies. A key aspect of this role involves staying ahead of market trends, regulatory changes, and technological advancements to maintain a competitive edge. The ability to translate complex quantitative concepts into clear, actionable insights for stakeholders is essential. This role demands exceptional analytical skills, a rigorous approach to research, and the capacity to thrive in a demanding, results-driven, remote work environment.
Responsibilities:
- Lead the research, design, and implementation of profitable algorithmic trading strategies.
- Manage and mentor a team of quantitative researchers and traders.
- Develop and refine quantitative models for diverse financial markets and asset classes.
- Conduct rigorous backtesting and statistical analysis of trading strategies.
- Oversee the deployment and monitoring of live trading strategies, ensuring optimal performance and risk management.
- Collaborate with software engineers to develop and enhance trading infrastructure and execution systems.
- Stay abreast of market dynamics, regulatory changes, and technological innovations in quantitative finance.
- Analyze trading performance, identify areas for improvement, and adapt strategies accordingly.
- Contribute to the firm's overall quantitative research and development efforts.
- Communicate complex quantitative concepts and strategy performance to senior management.
- Ensure compliance with all relevant regulatory requirements and internal policies.
- Advanced degree (Master's or PhD) in a quantitative field such as Finance, Mathematics, Statistics, Computer Science, or Physics.
- Minimum of 8-10 years of experience in quantitative trading, algorithmic strategy development, or related roles.
- Proven track record of designing and implementing successful algorithmic trading strategies.
- Deep expertise in statistical modeling, time-series analysis, and machine learning techniques.
- Proficiency in programming languages commonly used in quant finance (e.g., Python, C++, R).
- Strong understanding of financial markets, derivatives, and trading execution.
- Excellent analytical, problem-solving, and quantitative research skills.
- Demonstrated leadership and team management experience.
- Ability to work effectively independently and collaboratively in a fully remote setting.
- Exceptional communication skills, with the ability to articulate complex ideas clearly.
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