484 Cryptocurrency Analyst jobs in India
Quant Developer/Algorithmic Developer-Crypto trading
Posted 2 days ago
Job Viewed
Job Description
Job Title: Quant Developer / Algorithmic Developer – Crypto Trading
Location: Remote / Hybrid
Type: Full-time
Experience: 3 to 7 Years
Compensation: USDT Only
We are looking for a highly skilled Quantitative Developer / Algorithmic Developer to join our team in building advanced, production-grade crypto trading systems. This role is ideal for someone who excels at the intersection of strategy development, high-performance Python programming, and system design — with a deep interest in cryptocurrency markets.
You will be responsible for developing and optimizing algorithmic trading strategies, designing robust infrastructure, integrating with exchanges, and playing a critical role in converting research ideas into actionable and scalable trading logic.
If you’re passionate about crypto markets and want to shape the next generation of intelligent trading systems, we’d love to connect.
Key Responsibilities- Design, build, and deploy crypto trading strategies across spot, futures, and derivatives.
- Translate strategy logic into efficient, high-quality Python code, with well-structured modules and reusable components.
- Work on data ingestion, labeling, and pattern recognition logic using real-time and historical market data.
- Integrate and customize machine learning/statistical models for signal generation, filtering, and risk control.
- Interface with exchange APIs (REST/WebSocket) for order placement, live market data, and account management.
- Manage data storage and retrieval using PostgreSQL, Redis, and other relevant tools.
- Optimize for latency, slippage, execution cost, and strategy robustness under varying market conditions.
- Develop and maintain FastAPI-based internal tools for monitoring, research, and strategy deployment.
- Collaborate closely with quant researchers, infra engineers, and traders to iterate on model improvements.
- Conduct post-trade analysis and continuous strategy performance evaluation.
- Strong hands-on programming experience in Python (required); additional experience with C++ is a plus.
- Solid understanding of algorithmic trading systems, including signal development, execution logic, and risk constraints.
- Experience with data engineering, especially data labeling, pattern detection, and feature pipeline construction.
- Proficiency in working with PostgreSQL, Redis, and FastAPI.
- Good knowledge of crypto exchange APIs (WebSockets & REST), order types, and real-time data handling.
- Familiarity with quantitative strategy concepts (PnL attribution, Sharpe ratio, drawdowns, position sizing).
- Ability to build clean, maintainable code with attention to detail and performance.
- Prior experience with strategy development or backtesting frameworks.
- Deep curiosity about crypto markets, with a strong drive to build practical, alpha-generating systems.
- Experience in systematic trading or algorithmic strategy implementation in crypto or traditional markets.
- Knowledge of pattern detection systems (e.g., SMC, market structure, candlestick/chart patterns).
- Exposure to machine learning models (supervised, ensemble, reinforcement learning) applied to financial data.
- Understanding of portfolio optimization, risk modeling, and capital allocation logic.
Quant Developer/Algorithmic Developer-Crypto trading
Posted today
Job Viewed
Job Description
Location: Remote / Hybrid
Type: Full-time
Experience: 3 to 7 Years
Compensation: USDT Only
About the Role
We are looking for a highly skilled Quantitative Developer / Algorithmic Developer to join our team in building advanced, production-grade crypto trading systems. This role is ideal for someone who excels at the intersection of strategy development, high-performance Python programming, and system design — with a deep interest in cryptocurrency markets.
You will be responsible for developing and optimizing algorithmic trading strategies, designing robust infrastructure, integrating with exchanges, and playing a critical role in converting research ideas into actionable and scalable trading logic.
If you’re passionate about crypto markets and want to shape the next generation of intelligent trading systems, we’d love to connect.
Key Responsibilities
- Design, build, and deploy crypto trading strategies across spot, futures, and derivatives.
- Translate strategy logic into efficient, high-quality Python code, with well-structured modules and reusable components.
- Work on data ingestion, labeling, and pattern recognition logic using real-time and historical market data.
- Integrate and customize machine learning/statistical models for signal generation, filtering, and risk control.
- Interface with exchange APIs (REST/WebSocket) for order placement, live market data, and account management.
- Manage data storage and retrieval using PostgreSQL, Redis, and other relevant tools.
- Optimize for latency, slippage, execution cost, and strategy robustness under varying market conditions.
- Develop and maintain FastAPI-based internal tools for monitoring, research, and strategy deployment.
- Collaborate closely with quant researchers, infra engineers, and traders to iterate on model improvements.
- Conduct post-trade analysis and continuous strategy performance evaluation.
Required Skills & Qualifications
- Strong hands-on programming experience in Python (required); additional experience with C++ is a plus.
- Solid understanding of algorithmic trading systems, including signal development, execution logic, and risk constraints.
- Experience with data engineering, especially data labeling, pattern detection, and feature pipeline construction.
- Proficiency in working with PostgreSQL, Redis, and FastAPI.
- Good knowledge of crypto exchange APIs (WebSockets & REST), order types, and real-time data handling.
- Familiarity with quantitative strategy concepts (PnL attribution, Sharpe ratio, drawdowns, position sizing).
- Ability to build clean, maintainable code with attention to detail and performance.
- Prior experience with strategy development or backtesting frameworks.
- Deep curiosity about crypto markets, with a strong drive to build practical, alpha-generating systems.
Preferred Qualifications
- Experience in systematic trading or algorithmic strategy implementation in crypto or traditional markets.
- Knowledge of pattern detection systems (e.g., SMC, market structure, candlestick/chart patterns).
- Exposure to machine learning models (supervised, ensemble, reinforcement learning) applied to financial data.
- Understanding of portfolio optimization, risk modeling, and capital allocation logic.
Quant Developer/Algorithmic Developer-Crypto trading
Posted today
Job Viewed
Job Description
Job Title: Quant Developer / Algorithmic Developer – Crypto Trading
Location: Remote / Hybrid
Type: Full-time
Experience: 3 to 7 Years
Compensation: USDT Only
We are looking for a highly skilled Quantitative Developer / Algorithmic Developer to join our team in building advanced, production-grade crypto trading systems. This role is ideal for someone who excels at the intersection of strategy development, high-performance Python programming, and system design — with a deep interest in cryptocurrency markets.
You will be responsible for developing and optimizing algorithmic trading strategies, designing robust infrastructure, integrating with exchanges, and playing a critical role in converting research ideas into actionable and scalable trading logic.
If you’re passionate about crypto markets and want to shape the next generation of intelligent trading systems, we’d love to connect.
Key Responsibilities- Design, build, and deploy crypto trading strategies across spot, futures, and derivatives.
- Translate strategy logic into efficient, high-quality Python code, with well-structured modules and reusable components.
- Work on data ingestion, labeling, and pattern recognition logic using real-time and historical market data.
- Integrate and customize machine learning/statistical models for signal generation, filtering, and risk control.
- Interface with exchange APIs (REST/WebSocket) for order placement, live market data, and account management.
- Manage data storage and retrieval using PostgreSQL, Redis, and other relevant tools.
- Optimize for latency, slippage, execution cost, and strategy robustness under varying market conditions.
- Develop and maintain FastAPI-based internal tools for monitoring, research, and strategy deployment.
- Collaborate closely with quant researchers, infra engineers, and traders to iterate on model improvements.
- Conduct post-trade analysis and continuous strategy performance evaluation.
- Strong hands-on programming experience in Python (required); additional experience with C++ is a plus.
- Solid understanding of algorithmic trading systems, including signal development, execution logic, and risk constraints.
- Experience with data engineering, especially data labeling, pattern detection, and feature pipeline construction.
- Proficiency in working with PostgreSQL, Redis, and FastAPI.
- Good knowledge of crypto exchange APIs (WebSockets & REST), order types, and real-time data handling.
- Familiarity with quantitative strategy concepts (PnL attribution, Sharpe ratio, drawdowns, position sizing).
- Ability to build clean, maintainable code with attention to detail and performance.
- Prior experience with strategy development or backtesting frameworks.
- Deep curiosity about crypto markets, with a strong drive to build practical, alpha-generating systems.
- Experience in systematic trading or algorithmic strategy implementation in crypto or traditional markets.
- Knowledge of pattern detection systems (e.g., SMC, market structure, candlestick/chart patterns).
- Exposure to machine learning models (supervised, ensemble, reinforcement learning) applied to financial data.
- Understanding of portfolio optimization, risk modeling, and capital allocation logic.
Quant Developer/Algorithmic Developer-Crypto trading
Posted 9 days ago
Job Viewed
Job Description
Job Title: Quant Developer / Algorithmic Developer – Crypto Trading
Location: Remote / Hybrid
Type: Full-time
Experience: 3 to 7 Years
Compensation: USDT Only
We are looking for a highly skilled Quantitative Developer / Algorithmic Developer to join our team in building advanced, production-grade crypto trading systems. This role is ideal for someone who excels at the intersection of strategy development, high-performance Python programming, and system design — with a deep interest in cryptocurrency markets.
You will be responsible for developing and optimizing algorithmic trading strategies, designing robust infrastructure, integrating with exchanges, and playing a critical role in converting research ideas into actionable and scalable trading logic.
If you’re passionate about crypto markets and want to shape the next generation of intelligent trading systems, we’d love to connect.
Key Responsibilities- Design, build, and deploy crypto trading strategies across spot, futures, and derivatives.
- Translate strategy logic into efficient, high-quality Python code, with well-structured modules and reusable components.
- Work on data ingestion, labeling, and pattern recognition logic using real-time and historical market data.
- Integrate and customize machine learning/statistical models for signal generation, filtering, and risk control.
- Interface with exchange APIs (REST/WebSocket) for order placement, live market data, and account management.
- Manage data storage and retrieval using PostgreSQL, Redis, and other relevant tools.
- Optimize for latency, slippage, execution cost, and strategy robustness under varying market conditions.
- Develop and maintain FastAPI-based internal tools for monitoring, research, and strategy deployment.
- Collaborate closely with quant researchers, infra engineers, and traders to iterate on model improvements.
- Conduct post-trade analysis and continuous strategy performance evaluation.
- Strong hands-on programming experience in Python (required); additional experience with C++ is a plus.
- Solid understanding of algorithmic trading systems, including signal development, execution logic, and risk constraints.
- Experience with data engineering, especially data labeling, pattern detection, and feature pipeline construction.
- Proficiency in working with PostgreSQL, Redis, and FastAPI.
- Good knowledge of crypto exchange APIs (WebSockets & REST), order types, and real-time data handling.
- Familiarity with quantitative strategy concepts (PnL attribution, Sharpe ratio, drawdowns, position sizing).
- Ability to build clean, maintainable code with attention to detail and performance.
- Prior experience with strategy development or backtesting frameworks.
- Deep curiosity about crypto markets, with a strong drive to build practical, alpha-generating systems.
- Experience in systematic trading or algorithmic strategy implementation in crypto or traditional markets.
- Knowledge of pattern detection systems (e.g., SMC, market structure, candlestick/chart patterns).
- Exposure to machine learning models (supervised, ensemble, reinforcement learning) applied to financial data.
- Understanding of portfolio optimization, risk modeling, and capital allocation logic.
Quant Developer/Algorithmic Developer-Crypto trading
Posted today
Job Viewed
Job Description
Job Title: Quant Developer / Algorithmic Developer – Crypto Trading
Location: Remote / Hybrid
Type: Full-time
Experience: 3 to 7 Years
Compensation: USDT Only
We are looking for a highly skilled Quantitative Developer / Algorithmic Developer to join our team in building advanced, production-grade crypto trading systems. This role is ideal for someone who excels at the intersection of strategy development, high-performance Python programming, and system design — with a deep interest in cryptocurrency markets.
You will be responsible for developing and optimizing algorithmic trading strategies, designing robust infrastructure, integrating with exchanges, and playing a critical role in converting research ideas into actionable and scalable trading logic.
If you’re passionate about crypto markets and want to shape the next generation of intelligent trading systems, we’d love to connect.
Key Responsibilities- Design, build, and deploy crypto trading strategies across spot, futures, and derivatives.
- Translate strategy logic into efficient, high-quality Python code, with well-structured modules and reusable components.
- Work on data ingestion, labeling, and pattern recognition logic using real-time and historical market data.
- Integrate and customize machine learning/statistical models for signal generation, filtering, and risk control.
- Interface with exchange APIs (REST/WebSocket) for order placement, live market data, and account management.
- Manage data storage and retrieval using PostgreSQL, Redis, and other relevant tools.
- Optimize for latency, slippage, execution cost, and strategy robustness under varying market conditions.
- Develop and maintain FastAPI-based internal tools for monitoring, research, and strategy deployment.
- Collaborate closely with quant researchers, infra engineers, and traders to iterate on model improvements.
- Conduct post-trade analysis and continuous strategy performance evaluation.
- Strong hands-on programming experience in Python (required); additional experience with C++ is a plus.
- Solid understanding of algorithmic trading systems, including signal development, execution logic, and risk constraints.
- Experience with data engineering, especially data labeling, pattern detection, and feature pipeline construction.
- Proficiency in working with PostgreSQL, Redis, and FastAPI.
- Good knowledge of crypto exchange APIs (WebSockets & REST), order types, and real-time data handling.
- Familiarity with quantitative strategy concepts (PnL attribution, Sharpe ratio, drawdowns, position sizing).
- Ability to build clean, maintainable code with attention to detail and performance.
- Prior experience with strategy development or backtesting frameworks.
- Deep curiosity about crypto markets, with a strong drive to build practical, alpha-generating systems.
- Experience in systematic trading or algorithmic strategy implementation in crypto or traditional markets.
- Knowledge of pattern detection systems (e.g., SMC, market structure, candlestick/chart patterns).
- Exposure to machine learning models (supervised, ensemble, reinforcement learning) applied to financial data.
- Understanding of portfolio optimization, risk modeling, and capital allocation logic.
Senior Product Manager - Crypto Trading, Bhavin's Office
Posted today
Job Viewed
Job Description
Responsibilities
Requirements
Financial Analysis Specialist
Posted 5 days ago
Job Viewed
Job Description
Fair finance knowledge to understand financial models.
Good Communication skills to communicate with stakeholders (sales/Finance/Legal) regularly to complete assigned tasks.
Partner with governence on upstream processes to enable smoother and faster validation of deals.
Partner with legal for Deal validation inputs on contract language.
Partner with Sales to seek feedback on opportunities to improve transparency / accuracy.
Ensure error free calculation / report out / payout on all sales plan attainment
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Financial Analysis Specialist

Posted 5 days ago
Job Viewed
Job Description
+ Able to build the deal assessment financial model using appropriate toolset, following all guidelines
+ Able to perform basic cost analysis on the solution model
+ Well trained on all the tools
+ Fair understanding of all the relevant policies and its application thereof
+ Well trained on the company's accounting policies and application on deals
+ Produces pricing templates in collaboration with sales team
+ Has an understanding of the contractual Terms & Conditions (T&Cs) and know our standard position
+ Makes sure the governance process is followed as documented
+ Typically requires 0-3 years relevant experience.
+ Undergraduate degree or equivalent combination of education and work experience.
+ Graduate degree (like MBA/MS Finance) or professional certification (like CPA/CA/CMA) preferred
+ Possesses and applies knowledge of financial and pricing analysis principles.
+ Solid data analysis skills.
+ Solid oral, written and presentation skills.
+ Ability to physically perform general office requirements.
+ Must be able to perform essential responsibilities with or without reasonable accommodations.
Financial Analysis Specialist
Posted 5 days ago
Job Viewed
Job Description
Fair finance knowledge to understand financial models.
Good Communication skills to communicate with stakeholders (sales/Finance/Legal) regularly to complete assigned tasks.
Partner with governence on upstream processes to enable smoother and faster validation of deals.
Partner with legal for Deal validation inputs on contract language.
Partner with Sales to seek feedback on opportunities to improve transparency / accuracy.
Ensure error free calculation / report out / payout on all sales plan attainment
Financial Analysis Specialist

Posted 5 days ago
Job Viewed
Job Description
+ Able to build the deal assessment financial model using appropriate toolset, following all guidelines
+ Able to perform basic cost analysis on the solution model
+ Well trained on all the tools
+ Fair understanding of all the relevant policies and its application thereof
+ Well trained on the company's accounting policies and application on deals
+ Produces pricing templates in collaboration with sales team
+ Has an understanding of the contractual Terms & Conditions (T&Cs) and know our standard position
+ Makes sure the governance process is followed as documented
+ Typically requires 0-3 years relevant experience.
+ Undergraduate degree or equivalent combination of education and work experience.
+ Graduate degree (like MBA/MS Finance) or professional certification (like CPA/CA/CMA) preferred
+ Possesses and applies knowledge of financial and pricing analysis principles.
+ Solid data analysis skills.
+ Solid oral, written and presentation skills.
+ Ability to physically perform general office requirements.
+ Must be able to perform essential responsibilities with or without reasonable accommodations.