75 Trade Analyst jobs in Indonesia
Senior Quantitative Analyst - Trading Strategies
Posted 5 days ago
Job Viewed
Job Description
Responsibilities:
- Develop and implement quantitative trading strategies and models.
- Conduct in-depth research on market dynamics and identify trading opportunities.
- Perform rigorous backtesting and performance analysis of trading algorithms.
- Utilize statistical modeling and machine learning techniques for predictive analysis.
- Collaborate with traders and portfolio managers to deploy and refine strategies.
- Optimize trading execution and minimize transaction costs.
- Analyze large datasets to extract actionable insights.
- Stay abreast of the latest developments in quantitative finance and algorithmic trading.
- Document research findings, model specifications, and implementation details.
- Ensure models adhere to risk management policies and regulatory requirements.
- 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 analysis, algorithmic trading, or quantitative research in the financial industry.
- Strong proficiency in programming languages such as Python, R, C++, or Java.
- Expertise in statistical modeling, time series analysis, and machine learning algorithms.
- Deep understanding of financial markets, asset classes, and trading strategies.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, particularly for remote collaboration.
- Ability to work independently and manage complex projects in a remote setting.
Head of Algorithmic Trading Strategies
Posted 8 days ago
Job Viewed
Job Description
Key responsibilities include researching and designing new algorithmic trading strategies across various asset classes, utilizing advanced statistical and machine learning techniques. You will oversee the development, testing, and deployment of trading algorithms, ensuring their robustness, efficiency, and compliance with regulatory standards. Performance analysis and risk management of existing strategies will be a core focus, with the objective of optimizing profitability and minimizing risk exposure. You will also collaborate closely with portfolio managers and other stakeholders to align trading strategies with overall investment objectives. Staying abreast of market trends, technological advancements, and regulatory changes impacting algorithmic trading is crucial.
The ideal candidate will possess a strong academic background in a quantitative discipline (e.g., Finance, Mathematics, Physics, Computer Science) and significant experience in developing and deploying quantitative trading strategies in a live trading environment. Exceptional analytical, programming (e.g., Python, C++), and statistical modeling skills are essential. Proven leadership experience in managing quantitative research teams is required. An in-depth understanding of financial markets, derivatives, and risk management is mandatory. While the role is hybrid, requiring some in-office presence in Medan, North Sumatra, ID for collaboration and strategy alignment, it offers flexibility for remote work on certain days. This is an exceptional opportunity for a seasoned quant professional to make a significant impact.
Senior Quantitative Analyst - Trading Strategies
Posted 8 days ago
Job Viewed
Job Description
The Senior Quantitative Analyst will be responsible for developing, testing, and implementing sophisticated quantitative trading models and strategies. Your role will involve deep dives into market data, identifying statistical patterns, and creating algorithms to exploit market inefficiencies. You will work with large datasets, employing advanced statistical techniques, machine learning, and econometrics to build predictive models. Responsibilities include backtesting strategies, performance analysis, risk management, and real-time implementation support. You will collaborate closely with portfolio managers, traders, and other quants to refine strategies and ensure their robustness in live trading environments. A strong programming background in languages such as Python, R, C++, or Java is essential, along with expertise in data manipulation and statistical libraries. The ideal candidate will possess a PhD or Master's degree in a quantitative field (e.g., Finance, Mathematics, Physics, Computer Science, Statistics), a strong understanding of financial markets, and a proven ability to develop profitable trading strategies. Excellent problem-solving skills, intellectual curiosity, and the capacity to work independently in a high-pressure, fast-paced remote setting are critical. This role presents an exciting opportunity to shape the future of algorithmic trading through cutting-edge quantitative research and development.
Responsibilities:
- Develop, backtest, and implement quantitative trading models and strategies.
- Analyze large-scale market data to identify trading opportunities and statistical patterns.
- Apply advanced statistical and machine learning techniques to build predictive models.
- Conduct rigorous performance analysis and risk assessment of trading strategies.
- Collaborate with traders and portfolio managers to optimize strategy execution.
- Develop and maintain robust code for strategy deployment and monitoring.
- Stay abreast of the latest research in quantitative finance and algorithmic trading.
- Work with diverse data sources and ensure data quality.
- Contribute to the innovation and continuous improvement of the quantitative trading platform.
- Document research findings, model methodologies, and trading system designs.
- PhD or Master's degree in a quantitative discipline such as Finance, Mathematics, Statistics, Physics, or Computer Science.
- Minimum of 6 years of experience in quantitative finance, algorithmic trading, or related fields.
- Proven experience in developing and deploying profitable trading strategies.
- Expertise in statistical modeling, time series analysis, and machine learning algorithms.
- Proficiency in programming languages like Python, R, C++, or Java.
- Strong knowledge of financial markets, instruments, and trading mechanics.
- Experience with large dataset manipulation and database technologies.
- Excellent analytical, problem-solving, and research skills.
- Ability to work independently and communicate complex ideas effectively in a remote environment.
- Familiarity with risk management techniques in trading.
Head of Algorithmic Trading Strategies
Posted 8 days ago
Job Viewed
Job Description
Responsibilities:
- Develop, backtest, and deploy sophisticated algorithmic trading strategies across various asset classes (equities, futures, FX, etc.).
- Lead and mentor a team of quantitative traders, researchers, and developers.
- Conduct rigorous quantitative analysis of market data to identify trading opportunities and risks.
- Oversee the real-time monitoring and optimization of trading systems.
- Collaborate with technology teams to ensure robust and low-latency trading infrastructure.
- Manage risk exposure associated with trading strategies and ensure compliance with regulatory requirements.
- Stay abreast of the latest trends and innovations in quantitative finance and algorithmic trading.
- Contribute to the strategic direction of the trading desk and firm-wide investment strategies.
- Perform performance attribution and post-trade analysis.
- Research and implement new data sources and analytical techniques.
Qualifications:
- Master's or Ph.D. in Quantitative Finance, Mathematics, Statistics, Computer Science, or a related field.
- Minimum of 8 years of experience in quantitative trading, algorithmic strategy development, or a related role.
- Proven track record of designing and successfully implementing profitable algorithmic trading strategies.
- Deep understanding of financial markets, trading mechanics, and various asset classes.
- Expertise in statistical modeling, machine learning, and time-series analysis.
- Strong programming skills in languages such as Python, C++, or Java.
- Experience with backtesting platforms and real-time trading systems.
- Excellent leadership, communication, and team management skills.
- Ability to work independently in a fast-paced, remote environment.
- Strong analytical and problem-solving abilities.
- Experience with risk management frameworks is highly desirable.
This role is based in Bekasi, West Java, ID , but is a fully remote opportunity, requiring exceptional self-discipline and digital communication skills.
Senior Quantitative Analyst - Trading Strategies
Posted 8 days ago
Job Viewed
Job Description
Key Responsibilities:
- Design, backtest, and deploy quantitative trading strategies across different asset classes (equities, FX, fixed income, derivatives).
- Develop and maintain statistical models for market prediction, risk management, and portfolio optimization.
- Conduct in-depth research into market microstructure, trading patterns, and economic indicators.
- Collaborate with traders and portfolio managers to understand market needs and translate them into quantitative solutions.
- Implement and optimize trading algorithms using high-level programming languages (e.g., Python, C++, R).
- Analyze trade execution performance and identify areas for improvement.
- Monitor market developments and adapt strategies accordingly.
- Ensure the robustness and accuracy of quantitative models through rigorous testing and validation.
- Contribute to the development of the firm's quantitative research infrastructure.
- Stay current with academic research and industry innovations in quantitative finance.
Senior Quantitative Analyst - Trading Strategies
Posted 8 days ago
Job Viewed
Job Description
Responsibilities:
- Develop, backtest, and deploy quantitative trading strategies across global equity, fixed income, and derivative markets.
- Design and implement advanced mathematical models for pricing, risk management, and portfolio optimization.
- Conduct rigorous statistical analysis and data mining to identify market inefficiencies and trading opportunities.
- Collaborate closely with portfolio managers, traders, and other quants to translate research ideas into actionable trading algorithms.
- Write high-quality, production-ready code in languages such as Python, C++, or R.
- Analyze large datasets to extract meaningful insights and support strategic decision-making.
- Monitor the performance of live trading strategies, identify deviations, and implement necessary adjustments.
- Stay current with the latest academic research and industry developments in quantitative finance.
- Contribute to the continuous improvement of the firm's trading infrastructure and research capabilities.
- Document methodologies, model assumptions, and trading logic clearly and comprehensively.
- Mentor junior quantitative analysts and share knowledge within the team.
- Ensure adherence to all relevant compliance and regulatory requirements.
- 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 analysis, algorithmic trading, or a related role within the financial industry.
- Proven track record of developing and implementing successful quantitative trading strategies.
- Expert-level proficiency in programming languages commonly used in quantitative finance (Python, C++, R, Java).
- Strong knowledge of statistical modeling, machine learning, time series analysis, and optimization techniques.
- Deep understanding of financial markets, instruments, and trading mechanics.
- Experience with large-scale data analysis and database management (SQL).
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and interpersonal skills, with the ability to explain complex concepts to both technical and non-technical audiences.
- Ability to work independently, manage multiple projects simultaneously, and thrive in a fast-paced remote environment.
- Familiarity with cloud computing platforms (AWS, Azure, GCP) is a plus.
Senior Quantitative Analyst - Algorithmic Trading Strategies
Posted today
Job Viewed
Job Description
Key Responsibilities:
- Design, develop, backtest, and deploy quantitative trading strategies.
- Conduct in-depth research on market microstructure, statistical arbitrage, and time series analysis.
- Build and maintain robust data pipelines for market data and trade execution.
- Collaborate with software engineers to implement trading algorithms into production systems.
- Analyze trading performance, identify areas for improvement, and iterate on strategy logic.
- Develop and maintain risk management models for trading portfolios.
- Explore new data sources and quantitative techniques to enhance trading strategies.
- Communicate complex quantitative concepts and results to both technical and non-technical stakeholders.
- Stay current with academic research and industry trends in quantitative finance.
- Contribute to the firm's intellectual property through innovative research and development.
Qualifications:
- Ph.D. or Master's degree in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering.
- Minimum of 5 years of experience in quantitative analysis, algorithmic trading, or related roles within the financial industry.
- Strong programming proficiency in Python, C++, or Java.
- Expertise in statistical modeling, time series analysis, machine learning, and data mining techniques.
- Proven experience with backtesting frameworks and financial data analysis tools.
- Deep understanding of financial markets, including equities, futures, and FX.
- Excellent problem-solving, analytical, and critical thinking skills.
- Ability to work independently in a remote setting and manage multiple priorities effectively.
- Strong communication skills, with the ability to articulate complex ideas clearly.
- Experience with large datasets and high-frequency data is a significant advantage.
This is a unique opportunity for a motivated quantitative professional to make a significant impact in a fast-paced, intellectually stimulating environment. If you are passionate about quantitative finance and thrive in a remote-first culture, we encourage you to apply.
Be The First To Know
About the latest Trade analyst Jobs in Indonesia !
Senior Quantitative Analyst, Remote Trading Strategies
Posted 2 days ago
Job Viewed
Job Description
This is a remote-first position.
Senior Quantitative Analyst - Algorithmic Trading Strategies
Posted 3 days ago
Job Viewed
Job Description
- Design, develop, and implement quantitative trading algorithms and models.
- Conduct rigorous statistical analysis and backtesting of trading strategies using historical and real-time market data.
- Identify new trading opportunities and alpha sources through data mining and research.
- Collaborate with traders and portfolio managers to refine strategy parameters and optimize performance.
- Monitor and analyze the performance of live trading strategies, identifying areas for improvement.
- Develop and maintain data infrastructure and analytical tools necessary for strategy development and execution.
- Stay current with academic research and industry trends in quantitative finance and algorithmic trading.
- Communicate complex analytical findings and strategy recommendations clearly to both technical and non-technical stakeholders.
- Contribute to the team's intellectual capital and mentor junior quantitative analysts.
- Master's or Ph.D. in Quantitative Finance, Financial Engineering, Statistics, Mathematics, Computer Science, or a related quantitative field.
- Proven experience (5+ years) in quantitative analysis, algorithmic trading, or a similar role within the financial industry.
- Strong proficiency in programming languages such as Python (with libraries like NumPy, Pandas, SciPy), C++, or R.
- Extensive experience with financial data analysis, time series analysis, and statistical modeling.
- Deep understanding of financial markets, derivatives, risk management, and trading execution.
- Experience with large datasets and database management (e.g., SQL).
- Familiarity with machine learning techniques applied to finance is a plus.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and collaboration skills, essential for a remote work environment.
Senior Quantitative Analyst - Algorithmic Trading Strategies
Posted 4 days ago
Job Viewed
Job Description
Key responsibilities include:
- Developing and implementing quantitative trading strategies across various asset classes.
- Conducting in-depth statistical analysis and modeling of market data.
- Designing, building, and maintaining robust backtesting frameworks.
- Optimizing trading algorithm performance and risk management parameters.
- Researching and identifying new trading opportunities and market inefficiencies.
- Collaborating with traders and portfolio managers to align strategies with investment objectives.
- Monitoring and analyzing the performance of live trading systems.
- Writing clean, efficient, and well-documented code in languages such as Python, C++, or R.
- Staying abreast of the latest academic research and industry trends in quantitative finance.
- Contributing to the firm's overall research and development efforts.