54 Algorithmic Trading Jobs

You will be joining CognyX AI, a company dedicated to revolutionizing business interactions through artificial intelligence. Specializing in bespoke AI applications, we integrate advanced AI technologies like AI chatbots, AI agents, and Large Language Models (LLMs) into existing business frameworks. Our mission is to empower businesses through cutting-edge AI technology, driving innovation, efficiency, and growth. We prioritize a client-centric approach, focusing on understanding unique challenges to provide impactful solutions. As a Financial Trader in this full-time role based in Ahmedabad, your responsibilities will include executing trades, analyzing financial markets, devising investment strategies, and managing portfolios to maximize returns. You will be tasked with monitoring market trends, assessing investment risks, and implementing hedging strategies to safeguard investments. To excel in this role, you should be a Qualified Market Technician with a solid understanding of technical indicators such as RSI, MACD, Bollinger bands, moving averages, stochastic oscillator, Ichimoku cloud, and VWAP, along with knowledge of chart patterns like head and shoulders, double tops/bottoms, triangles, flags, and pennants. Experience with Fibonacci retracements, support and resistance levels, pivot points, and volume profile analysis is essential. Proficiency in trading across US stocks, forex, indices, commodities, and crypto, particularly in intraday trading and quick decision-making under pressure, is required. You should possess strong analytical skills, a solid finance background, and experience in hedging strategies to manage risk effectively. Additional experience in quantitative and algorithmic trading, coding, and AI will be advantageous. Excellent problem-solving and decision-making abilities are crucial, along with the capacity to thrive in a fast-paced, high-pressure environment. A Bachelor's degree in Finance, Economics, or a related field is a prerequisite for this role. If you require any further adjustments or additional information, please feel free to reach out.,

As an Equity Trader specializing in High-Frequency Trading at the US Stock Exchange, you will be based in Hyderabad, Telangana, India. You will receive a competitive compensation package of INR 35,000 - 60,000 per month (INR 420,000 - 720,000 annually) along with performance bonuses based on trading profits. This is a full-time, onsite role that requires a minimum of 4-5 years of experience in trading on the US Stock Exchange, particularly in high-frequency and leveraged trading strategies. You will be joining a U.S.-based private equity firm with a growing HFT arm in Hyderabad. Your primary responsibilities will include managing significant trading capital focusing on the US stock markets. You are expected to have a strong understanding of HFT, leveraged trading strategies, and a successful track record in US stock exchange trading. In this high-stakes role, you will play a crucial part in driving the success of trading strategies by executing trades with precision, managing risk effectively, and maximizing returns on a daily basis. You will have the opportunity to trade with cutting-edge algorithms and high-frequency trading platforms while collaborating closely with the U.S.-based operations team. Key responsibilities include executing high-frequency trades on the US Stock Exchange, developing leveraged trading strategies, monitoring market conditions, collaborating with the quant team to optimize automated trading strategies, managing risk across portfolios, providing daily reports on trading performance, and staying updated with market trends and technological advancements. To excel in this role, you should have a minimum of 4-5 years of experience in US Stock Exchange trading, a deep understanding of trading platforms and market analysis tools, proficiency in high-frequency trading platforms, strong knowledge of leveraged trading, ability to work in a fast-paced environment, excellent communication skills, and an analytical mindset. Experience in algorithmic trading is a plus. The ideal candidate for this position is a highly skilled trader who thrives in high-stakes environments, can balance risk and reward effectively, and is proactive in improving trading strategies and staying ahead of market trends. To apply for this position, please DM or email at noorullah@shah-equity.com with the subject line "Market Trader (HFT) Application - Your Name." Join Shah Equity's HFT arm in Karachi and make a real impact in the field of high-frequency trading. We are looking forward to welcoming top talent who can drive tangible results.,

BitQCode Capital is a leading algorithmic trading hedge fund specializing in high-frequency trading, quantitative strategies, and cutting-edge AI-driven market analysis. We manage a multi-million-dollar portfolio and execute millions of trades per month across global markets. Our team consists of top-tier quants, engineers, and traders, leveraging AI to develop sophisticated, automated trading models. We are looking for an AI Quantitative Researcher with a proven track record of applying Artificial Intelligence (AI) and Machine Learning (ML) in financial markets. The ideal candidate should have hands-on experience designing, training, and deploying AI-driven trading models that generate alpha across asset classes. This role requires expertise in deep learning, reinforcement learning, NLP for market sentiment analysis, and predictive modeling for market movements. You will collaborate closely with our quant traders, data scientists, and software engineers to enhance existing trading models and develop new AI-driven strategies. Key Responsibilities: - Research, design, and implement AI-powered trading algorithms to predict market movements and optimize execution. - Develop and train machine learning models using historical and real-time market data to identify profitable trading opportunities. - Utilize reinforcement learning and deep learning techniques (e.g., LSTMs, Transformers, CNNs) for predictive modeling in financial markets. - Leverage NLP and sentiment analysis to extract insights from news, social media, and alternative data sources for trading signals. - Optimize AI models for real-time decision-making and high-frequency trading strategies. - Conduct backtesting and live simulations to evaluate model performance under different market conditions. - Work with large-scale financial datasets, leveraging cloud-based AI/ML infrastructure for processing and computation. - Stay up to date with cutting-edge AI research and continuously improve trading models to adapt to evolving market conditions. - Collaborate with software engineers to integrate AI models into automated trading systems for live execution. Requirements: - Strong proficiency in AI/ML frameworks: TensorFlow, PyTorch, scikit-learn, XGBoost, etc. - Experience in trading-focused AI applications: Reinforcement learning (RL), supervised/unsupervised learning, deep learning, and probabilistic modeling. - Programming expertise: Python (NumPy, Pandas, SciPy, Dask), C++ (for low-latency execution is a plus). - Financial market knowledge: Experience in trading stocks, options, futures, crypto, or FX using AI-driven models. - Big data processing & analysis: Proficiency in working with time-series data, high-frequency tick data, and alternative datasets. - Experience with backtesting frameworks: Zipline, Backtrader, QuantConnect, Freqtrade, etc. - Database and cloud computing: SQL, NoSQL, Redis, AWS, GCP, or Azure for scalable AI infrastructure. Experience & Qualifications: - Minimum 3+ years of experience in AI-driven quantitative research and trading strategy development. - Prior experience in a hedge fund, proprietary trading firm, or financial institution building AI-based models. - A strong track record of building and deploying successful AI-driven trading strategies. - Advanced degree (Masters/PhD) in Computer Science, AI, Machine Learning, Quantitative Finance, Mathematics, or related fields. Nice to Have: - Experience in market microstructure modeling and order book dynamics. - Knowledge of options pricing, derivatives trading, and volatility modeling. - Experience integrating AI models into low-latency trading systems. - Contributions to AI research, open-source projects, or publications in AI/ML conferences.,

-> Analysis of the market dynamics and formulating the best possible strategy -> Backtesting and optimization of various strategies -> Executing the best possible strategy (in simulation and live market) *Age Criteria - not more than 25 yrs old Required Candidate profile -> Bachelor’s in Finance/Eco/Mathematics streams (25, 24, 23 pass outs preferred) -> Knowledge of Option Strategies and Greeks are added advantage. -> NISM Series- VIII cleared candidates preferred.

As a C++ Developer/Programmer at Tara Capital Partners in the High Frequency/Algorithmic Trading domain, you will be a valuable team player, a self-motivated individual, and an active contributor to the design and maintenance of in-house HFT technology programs. Your responsibilities will include: - Utilizing your hands-on experience in trading infrastructure development, with a focus of more than 1 year. - Developing market data connectivity and Order Management Systems. - Working with C++ and demonstrating a clear understanding of data structures, threading, designing algorithms, object-oriented programming, profiling, and debugging. - Applying strong coding fundamentals and specific coding skills. - Showcasing excellent learning skills and problem-solving aptitude. - Thriving in a high-paced work environment with a steep learning curve. - Having a passion for finance and algorithmic trading, with prior knowledge of the financial domain and derivatives being desirable but not necessary. - Enhancing existing methodologies and exploring new ideas. In return, we offer: - High growth career opportunities. - A great learning environment with field experts. - A friendly work culture. - Competitive financial rewards based on performance. - Flexibility to learn and transition across different verticals and profiles. Join us at Tara Capital Partners and be part of a dynamic team that values innovation, collaboration, and continuous learning.,

You will be working closely with the wider Electronic Trading team and technology to develop performant and reliable real-time automated trading algorithms and analytics functionality. Your responsibilities will include examining market trends and trading workflows to propose new or improved algorithmic trading strategies, designing frameworks and functionality for the development of trading algorithms, implementing mathematical models into programming languages for execution, and researching and developing pricing algorithm models for FX/Rates/Credit/Equities space. Additionally, you will be analyzing and improving algorithm performance, participating in team peer reviews of code, modeling, and testing, as well as engaging in team knowledge sharing and presentations. The purpose of your role is to actively participate in the day-to-day activities of the SMAD electronic trading division to provide insights and expertise that assist senior colleagues in making informed decisions, developing new products and services, and identifying new market opportunities. Your key accountabilities will include executing small research projects, supporting strategic decision-making through research, preparing presentations and reports to communicate research findings, collaborating with senior management to implement research findings for SMAD electronic trading, and collaborating with cross-functional teams to support business initiatives. You will also participate in training and development programs to enhance your skills and knowledge, identify opportunities, develop business cases, manage the deployment and launch of new products and services for SMAD electronic trading, manage client relationships, provide customer service support to clients and customers, and mentor junior colleagues. As an Analyst, you will be expected to perform prescribed activities in a timely manner and to a high standard consistently driving continuous improvement. You will need to have in-depth technical knowledge and experience in your assigned area of expertise, a thorough understanding of the underlying principles and concepts within your area of expertise, and the ability to lead and supervise a team, guide and support professional development, allocate work requirements, and coordinate team resources. If you have leadership responsibilities, you are expected to demonstrate a clear set of leadership behaviors, including listening and being authentic, energizing and inspiring, aligning across the enterprise, and developing others. For individual contributors, you will need to develop technical expertise in your work area, acting as an advisor where appropriate, and have an impact on the work of related teams within the area. You will also need to partner with other functions and business areas, take responsibility for end results of a team's operational processing and activities, escalate breaches of policies/procedures appropriately, take ownership for managing risk and strengthening controls, advise and influence decision-making, and maintain a good understanding of how your sub-function integrates with the function and the organization's products, services, and processes. Furthermore, you will be expected to resolve problems by identifying and selecting solutions through the application of acquired technical experience, guide and persuade team members, communicate complex/sensitive information, act as a contact point for stakeholders outside of the immediate function, and build a network of contacts outside the team and external to the organization. All colleagues are required to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence, and Stewardship, as well as the Barclays Mindset to Empower, Challenge, and Drive.,

Embark on a transformative journey as an Assistant Vice President (AVP) FI Credit Risk at Barclays in Mumbai, where you will spearhead the evolution of the digital landscape, driving innovation and excellence. You will harness cutting-edge technology to revolutionize digital offerings, ensuring unparalleled customer experiences. In this role, you will be responsible for ensuring compliance with the bank's credit risk policies, procedures, and internal controls framework. You will develop methodologies and credit risk controls to mitigate the risk of credit loss from the default of clients engaged mainly in Electronic Trading, including Algorithmic Trading, and trading with DVP Settlement. To be successful in this position, you should have experience in developing a comprehensive understanding of Barclays e-Trading governance and controls procedures, as well as related regulatory expectations for Electronic Trading. You will work with stakeholders in Business, Technology, and Credit Risk to develop tactical and strategic risk controls for managing credit risk from Electronic Trading. Additionally, you will help refine methodologies for setting and implementing intraday credit limits across various asset classes in compliance with the risk control framework. Furthermore, you will be expected to analyze complex financial information and business models of LevFin, SLF, and Hedge Fund sectors. Essential skills for success in this role include risk and controls, change and transformation, business acumen, strategic thinking, and digital and technology expertise. The primary purpose of this role is to independently assess and make credit decisions for complex financing transactions within the LevFin, SLF, and Hedge Funds sectors. You will ensure alignment with the bank's credit risk appetite and regulatory requirements, and contribute to the development and implementation of credit risk policies and procedures for the Specialized Sector. Your key accountabilities will include monitoring the performance of the LevFin, SLF, and Hedge Fund portfolio, identifying and reporting early warning signs of potential credit deterioration, evaluating the risk profile of each application, and developing strategies to mitigate identified credit risks and optimize portfolio performance. As an Assistant Vice President, you are expected to consult on complex issues, provide advice to People Leaders, identify ways to mitigate risk, and develop new policies and procedures in support of the control and governance agenda. You will take ownership of managing risk and strengthening controls, collaborate with other business-aligned support areas, engage in complex analysis of data from multiple sources, and communicate complex information effectively. Additionally, you will be responsible for influencing or convincing stakeholders to achieve desired outcomes. All colleagues at Barclays are expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence, and Stewardship, as well as the Barclays Mindset to Empower, Challenge, and Drive.,

Da Vinci is looking for experienced quants to join a highly skilled, collaborative team in solving complex problems. You will play a key role in ensuring our operations perform at the highest level possible, working to achieve our goal of building one of the best proprietary trading firms in the world. Are you looking for an exciting and dynamic work environment, where employees are given the freedom to come up with great ideas and the space to push these to completionThen this is your once-in-a-lifetime opportunity to be part of a successful and fast-growing company. Responsibilities Depending on your background and focus, your responsibilities may include: As a Quant Trader Generate profits, trading by position taking and market making Manage and monitor trading risk in real-time Develop and refine strategies for both existing and new markets Optimize desk performance, devise new trading strategies and improve trading infrastructure As a Quant Researcher: Analyze large datasets to identify trading opportunities Develop tools that translate data analysis results into useful inputs for trading Build and back test quantitative models and strategies Collaborate with traders and developers to bring strategies to production Explore new markets and refine existing models and tools As a Quant Developer: Design and implement high-performance trading systems and tools Collaborate with researchers and traders to translate ideas into robust, scalable code Improve infrastructure, latency, and deployment workflows Ensure reliable operation in live trading environments Requirements 3 to 10 years of experience in a quantitative role (trading, research, or development) at a prop shop like ours or similar A strong academic background in Mathematics, Physics, Engineering, Computer Science, or a related field Deep understanding of financial markets and/or algorithmic trading (especially for trading roles) Proficiency in programming (Python, C++) A strong analytical mindset, attention to detail, and a desire to continuously improve Excellent communication skills and a team-oriented approach A proactive, entrepreneurial attitude and comfort working in a fast-paced, evolving environment Benefits Base salary of 85 lakh INR, with total compensation (including performance-based bonuses) expected to be 500k + USD annually Outstanding performance is also rewarded with shareholding in the company Relocation package 20 vacation days each year Meals during work hours Social events and after-work drinks

About the Company Founded in 2009, iRage aims to be the leading entity in algorithmic trading within India. The company combines expertise in quantitative finance and technology to establish itself as a trailblazer in the realm of high-frequency trading in the country. With a forward-thinking and innovative approach, iRage recognized early on the pivotal role of technology in the rapid evolution of trading, a philosophy that remains at the core of its operations to this day. About the Role Taking on the position of an Institutional Equity Dealer entails the crucial responsibility of executing trades for various institutional clients, which include Asset Management Companies (AMCs), Domestic Institutional Investors (DIIs), Foreign Institutional Investors (FIIs), Insurance Companies, and Development Financial Institutions (DFIs). This role demands a profound comprehension of market dynamics, algorithms, and trading strategies spanning multiple segments. Key Responsibilities: Trade Execution: - Execute trades in Equity and Future & Options (F&O) Segments accurately and promptly. - Implement various ALGO strategies like CD Orders, VWAP Orders, Volume Participation, Basket Orders, Blocks, F&O Directional & Spread Trades, and Arbitrage. Market Analysis & Reporting: - Monitor and evaluate market trends, delivering pertinent updates to stakeholders. - Create and deliver market reports utilizing tools such as Bloomberg & MS Excel. Client Interaction: - Engage in regular communication with clients to grasp their needs and offer tailored trading solutions. - Foster relationships by meeting clients regularly and providing insights on market movements. Collaboration: - Work closely with the back-office team to ensure seamless and error-free trade settlement procedures. Qualifications: Essential: A graduate in any discipline. Preferred: Postgraduate degree or MBA.,

As a Trader at GMIndia Pvt Ltd, you will play a crucial role in optimizing revenue generation across various financial markets, including traditional finance, decentralized finance (DeFi), forex, equities, commodities, and cryptocurrencies. Your expertise in market trends, algorithmic trading, risk management, and liquidity strategies will be instrumental in driving revenue growth and maximizing trading strategies. Your key responsibilities will include executing trading strategies across multiple markets to ensure consistent profits, developing and implementing algorithmic and discretionary trading strategies leveraging AI and quantitative models, monitoring market movements and identifying arbitrage opportunities, engaging with smart contract-based protocols in DeFi ecosystems, collaborating with tech and data science teams to enhance trading algorithms, managing risk exposure, and staying informed about regulatory changes and market trends. To excel in this role, you should have 3-7+ years of trading experience across multiple markets, strong knowledge of blockchain, DeFi, and smart contracts, proficiency in technical, fundamental & quantitative analysis, and familiarity with DEXs, centralized exchanges & liquidity strategies. Additionally, experience in algorithmic trading & programming (Python, Solidity, Rust) would be a plus. This is a full-time position based in Chennai or Ahmedabad, offering Provident Fund benefits. Join us at GMIndia Pvt Ltd and be part of a dynamic team driving innovation in the financial industry through AI, blockchain, and data-driven strategies.,

Experienced and performance-driven Portfolio Managers specializing in quantitative and/or high-frequency trading strategies within the US Equity Markets . Key Responsibilities Design, develop, and manage systematic trading strategies focused on US equities, including intraday, mid-frequency, or high-frequency models. Generate consistent risk-adjusted returns using quantitative, statistical, or machine learning-based techniques. Collaborate with in-house developers, data engineers, and researchers to enhance alpha models and execution systems. Continuously monitor, analyze, and optimize strategy performance, drawdown, slippage, and market impact. Ensure adherence to risk management frameworks, compliance, and capital allocation guidelines. Maintain and scale existing models while researching new strategies or market opportunities. Qualifications & Experience 4+ years of proven track record managing live capital with positive PnL in US equity markets. Strong background in quantitative finance , computer science , mathematics , engineering , or a related field. Deep understanding of market microstructure , execution algorithms , and trading infrastructure. Proficient in programming languages such as Python , C++ , or R ; familiarity with backtesting frameworks and data analysis libraries. Experience working with low-latency systems, co-location, and direct market access (DMA) setups is a plus. Strong grasp of risk management principles , portfolio construction, and capital efficiency.

The Tech Lead Quantitative Trading position in Chennai, India requires a candidate with over 7 years of experience to undertake various key responsibilities. You will be responsible for designing and optimizing scalable backend systems using Python and C++, overseeing the deployment of real-time trading algorithms, managing cloud infrastructure, CI/CD pipelines, and API integrations, as well as leading and mentoring a high-performing engineering team. Additionally, you will play a crucial role in laying the foundation for AI-driven trading innovations. Your role demands strong leadership, software architecture expertise, and hands-on problem-solving skills to ensure the seamless execution and scalability of trading systems. As part of your responsibilities, you will lead the end-to-end development of the trading platform, ensuring scalability, security, and high availability. You will also architect and optimize backend infrastructure for real-time algorithmic trading and large-scale data processing, design and implement deployment pipelines and CI/CD workflows for efficient code integration, and introduce best practices for performance tuning, system reliability, and security. In the realm of backend and data engineering, you will own the Python-based backend, work on low-latency system design to support algorithmic trading strategies, optimize storage solutions for handling large-scale financial data, and implement API-driven architectures leveraging WebSocket API and RESTful API knowledge to integrate with brokers, third-party data sources, and trading systems. Furthermore, you will be responsible for monitoring and troubleshooting live trading systems to minimize downtime, handling broker communication during execution issues and API failures, setting up automated monitoring, logging, and alerting for production stability, leading, mentoring, and scaling a distributed engineering team, defining tasks, setting deadlines, and managing workflow using Zoho Projects, aligning team objectives with OKRs, driving execution, fostering a strong engineering culture, ensuring high performance and technical excellence, managing cloud infrastructure to ensure high availability, setting up monitoring, logging, and automated alerting for production stability, overseeing GitLab repositories, enforcing best practices for version control, and implementing robust CI/CD pipelines to accelerate deployment cycles. While preferred qualifications include 7+ years of hands-on experience in backend development with expertise in Python, proven experience leading engineering teams and delivering complex projects, strong knowledge of distributed systems, real-time data processing, and cloud computing, experience with DevOps, CI/CD, and containerized environments, familiarity with GitLab, AWS, and Linux-based cloud infrastructure, and bonus knowledge of quantitative trading, financial markets, or algorithmic trading. The ideal candidate for this position is a backend expert with a passion for building scalable, high-performance systems, enjoys leading teams, mentoring engineers, fostering a strong engineering culture, can balance hands-on coding with high-level architecture and leadership, thrives in a fast-paced, data-driven environment, and loves solving complex technical challenges.,

You will be joining our team as a Technical Analyst & Quantitative Trader with expertise in algorithmic trading and technical analysis using Pine Script and Python. Your role will involve translating ideas into actionable trading strategies by leveraging your understanding of price action. Your responsibilities will include developing and testing rule-based trading strategies based on technical analysis, evaluating trade opportunities through the analysis of price action, market structure, and indicators, as well as automating strategies using Pine Script and Python tools. You will also work with real-time and historical data to assess the performance of trading strategies, collaborate with internal teams to enhance ideas and refine trade execution, and share technical insights and market research with fellow traders. About the Company: The Future University is India's rapidly growing live learning community that offers cohort-based courses led by renowned instructors. Our mission is rooted in the belief that learning is best achieved through a supportive community and hands-on experience. We strive to provide access to top instructors regardless of geographical location, focusing on practical skills essential for the modern era, such as money management and social media proficiency. Join us in bridging the gap between traditional education and the skills needed in the 21st century.,

1. Python with minimum of 5+ years of experience. 2. Equities Algorithmic trading stack, transaction data and FIX protocol. 3. market, transaction and reference data for various products like Equities, FX, Futures, FX, Indices, options etc. 4. Different market data vendors API and experience working with their data. 5. High capacity/low latency infrastructure like solace. 6. Software development, build and deployment management using tools like JIRA, Git, Jenkins, Geneous (ITRS) and scripting languages. 7. pre- and post- trade analytics like Transaction Cost analysis (TCA) reports. 8 Database design and architecture using KDB+/q Mandatory Competencies Database - Other Databases - KDB Beh - Communication DevOps/Configuration Mgmt - DevOps/Configuration Mgmt - Jenkins DevOps/Configuration Mgmt - DevOps/Configuration Mgmt - Git Data Science and Machine Learning - Data Science and Machine Learning - Python Middleware - API Middleware - API (SOAP, REST)

You will be responsible for monitoring live market movements in NIFTY, BANKNIFTY, and stock F&O. Additionally, you will assist in identifying intraday and positional opportunities by utilizing technical analysis. It will be crucial to learn and apply option trading strategies that involve Delta, Theta, and Gamma. Skyline Wealth Creation is a renowned financial services firm that excels in trading, investment management, and wealth creation. The company specializes in derivatives, algorithmic trading, and market research, employing data-driven strategies to optimize returns. The team of experts at Skyline Wealth Creation is committed to assisting clients in navigating financial markets accurately and effectively.,

Technical Skills Core Java Strong database concepts with exposure to reference data systems preferably Oracle Unix utilities and shell scripting Informatica / ETL tools Exposure to Python and Cloud preferably Azure Soft /. Functional Skills Strong communication skills, ability to understand business requirements, and explain system behaviour to users Experience/Knowledge of Investment Bank cash equities and futures front / middle office Exposure to continuous integration and deployment Understanding of Order management, market data, static data etc. Accountable with a strong sense of ownership and continually strive to improve Quick learner Comfortable working independently, as well as in a team-oriented, collaborative environment

About Us Join our dynamic team building cutting-edge automated trading systems. Youll collaborate with quants and engineers to turn models into live strategies, working end-to-end from data ingestion to execution. What You will Do Develop & Deploy : Build, optimize, and maintain high-performance trading algorithms in C/C++. Backtesting & Validation : Rigorously backtest strategies to ensure robustness under varied market conditions. Data Engineering : Design ETL pipelines for large market datasets (ticks, bars, fundamentals). Performance Tuning : Profile code, identify bottlenecks, and implement low-latency solutions. System Integration : Collaborate across teams to integrate trading systems with data feeds, order routers, and databases. Continuous Improvement : Stay current on market structure, trading technology, and best practices. What Were Looking For Experience : 3+ years in C++ development, with hands-on work in STL, multithreading/concurrency, and performance optimization. Design Patterns : Exposure to software design patterns (Understand object-oriented vs functional programming principles, inheritance, writing abstract, reusable, and modular code) Low-Latency Patterns: Experience building real-time or ultra-low-latency systems (zero-copy, busy-polling, high-resolution timers) Data Skills : Proficient in SQL and NoSQL database design and queries. Unit Testing: Proficient in C++ unit testing frameworks (Google Test, Catch2) with hands-on experience writing and maintaining comprehensive test suites. Problem Solver : Excellent debugging skills, attention to detail, and performance-oriented coding. Collaborator : Clear communicator comfortable in Agile environments. Nice to have : Prior algo-trading experience, cloud platforms (AWS/GCP/Azure).

Responsibilities: Technical Analyst for Proprietors' desk At least 2 yrs exp Analyse stocks with Python & R Monitor markets & charts Develop & backtest strategies Monitor market movements, volatility, To apply, share CV on mohyt.k@gmail.com

The BHFT Execution Trading team is currently expanding and is in search of an electronic and algorithmic trading specialist with the following responsibilities: - Monitor and support existing algorithmic trading strategies to ensure stable and efficient real-time performance. - Analyze algorithm performance and focus on optimizing execution strategies to improve efficiency and minimize slippage. - Troubleshoot and resolve issues in real-time, collaborating closely with the trading, quant, and development teams for smooth operations. - Regularly analyze data to enhance algorithm functionality and identify areas for refinement. - Generate and provide detailed reports on execution quality, performance metrics, and operational issues. Qualifications: - Minimum of 2 years of experience in electronic and algorithmic trading. - Essential experience in Listed Derivatives followed by equities. Any crypto experience is considered a bonus. - Strong technical background with proficiency in at least one coding language and the capability to enhance and adapt trading platforms. - Familiarity with HFT/MFT environments and the ability to monitor order flow and algorithms while optimizing trading parameters. - Any experience with TBricks is advantageous. - Strong organizational skills and the ability to maintain key relationships with Portfolio Managers and Traders. Additional Information: - Supports trading activities for China/India trading. As a part of the BHFT Execution Trading team, you will play a crucial role in monitoring and enhancing algorithmic trading strategies, analyzing performance, troubleshooting real-time issues, and providing detailed reports to ensure efficient execution. Your expertise and technical skills will contribute to the ongoing success and growth of the team in traditional financial markets.,

As an intern at Skyline Wealth Creation, your day-to-day responsibilities will include monitoring live market movements in NIFTY, BANKNIFTY, and stock F&O. You will also assist in identifying intraday and positional opportunities using technical analysis. Additionally, you will learn and apply option trading strategies utilizing Delta, Theta, and Gamma. Skyline Wealth Creation is a prominent financial services firm that specializes in trading, investment management, and wealth creation. Our core focus areas include derivatives, algorithmic trading, and market research, where we employ data-driven strategies to optimize returns. Our team of experts is committed to assisting clients in navigating financial markets with accuracy and efficiency.,

Responsibilities: Technical Analyst for Proprietors' desk At least 2 yrs exp Analyse stocks with Python & R Monitor markets & charts Develop & backtest strategies Monitor market movements, volatility, Track global & domestic market trends

You are a skilled Quantitative Researcher who will be joining our team to develop advanced algorithmic trading strategies for cryptocurrency markets. Leveraging your deep quantitative skills, market insights, and statistical modeling, you will be responsible for researching, designing, and testing trading strategies that capture alpha in digital asset markets. Your key responsibilities will include researching and developing quantitative trading strategies for crypto markets across spot, perpetual futures, and derivatives. You will analyze market microstructure, order flow, and liquidity to identify trading opportunities. Additionally, you will design and implement statistical and machine learning models for signal generation, risk forecasting, and anomaly detection. It will be essential for you to perform extensive backtesting, simulation, and performance analysis using historical and live data. Furthermore, optimizing strategies for execution costs, slippage, latency, and market impact will be part of your responsibilities. Collaboration with developers to translate research into production-grade algorithmic trading systems is also a key aspect of the role. Monitoring live strategies and conducting post-trade analysis to refine and improve models, staying updated on market trends, blockchain analytics, protocol updates, and evolving market structure, and contributing to research documentation, strategy reports, and knowledge sharing within the team are also part of your duties. The required skills and qualifications for this role include a strong background in quantitative research, statistical modeling, or applied mathematics, solid programming skills in Python, R, or similar languages for data analysis and prototyping, experience with time series analysis, signal processing, and statistical inference, ability to work with large datasets, proficiency in data cleaning, feature engineering, and data visualization, understanding of trading concepts such as PnL attribution, Sharpe ratio, drawdown, and risk management, interest in cryptocurrency markets and familiarity with crypto-specific market dynamics, excellent problem-solving and critical-thinking skills, and ability to communicate complex quantitative ideas clearly to technical and non-technical stakeholders. Preferred qualifications for this role include prior experience in algorithmic trading or systematic strategy development (crypto or traditional markets), knowledge of crypto market microstructure, DeFi protocols, and blockchain data analytics, familiarity with exchange APIs, order types, and execution logic, experience with backtesting frameworks and simulation environments, machine learning experience applied to financial markets (e.g. feature selection, ensemble models, reinforcement learning), and an academic background in quantitative disciplines (e.g. Mathematics, Statistics, Physics, Computer Science, Engineering, Finance).,

Job Opening: Algorithmic Trading Developer (Python / Pine Script) Company: SpeedAlgo.in Location: Remote (Work From Home) Work Hours: 6 hours/day Salary: 20,000 25,000/month (based on skill & experience) About Us: SpeedAlgo.in is a fast-growing company offering cutting-edge algorithmic trading solutions. We specialize in strategy development, broker integration, execution bridges, and full-stack algo setups for Indian and global clients. We're Hiring for Two Work-From-Home Positions: Apply for either the Python or Pine Script Developer role. Role 1: Python Developer (Algo Strategy + Broker Integration) 02 years of hands-on experience in Python Strong understanding of stock market concepts and trading indicators Should be able to code strategies using RSI, Supertrend, MACD, Moving Averages , etc., and send signals to brokers like Zerodha, Upstox, Angel One, Finvasia Strong in Webhooks, REST APIs, broker integration, and WebSocket-based execution Role 2: Pine Script Developer (TradingView Strategy/Indicator Developer) Expertise in Pine Script v5 Should be able to build indicators and strategies on TradingView Should know how to implement target, stop-loss, trailing SL, multi-target entries, partial exits, and backtesting logic Bonus if familiar with bridge connection of Pine strategy to brokers via webhook/API integrations Preferred Candidates: We prefer candidates who: Have a solid understanding of the stock market Are actively trading in Indian markets , cryptocurrency , or Forex Have practical exposure to trading and automation tools How to Apply: Send your resume and portfolio (GitHub/TradingView link if any) to: kapoorballu8@gmail.com Mention clearly whether you're applying for Python Developer or Pine Script Developer

The Tech Lead Quantitative Trading role in Chennai, India demands a seasoned professional with over 7 years of experience to take charge of designing and optimizing scalable backend systems using Python and C++. Your primary responsibilities will include overseeing the deployment of real-time trading algorithms, managing cloud infrastructure, CI/CD pipelines, and API integrations, as well as leading and mentoring a high-performing engineering team. Furthermore, you will be instrumental in laying the groundwork for AI-driven trading innovations. As a technical leader, you will be responsible for driving the end-to-end development of the trading platform, ensuring scalability, security, and high availability. You will design and optimize backend infrastructure for real-time algorithmic trading and large-scale data processing, implement deployment pipelines and CI/CD workflows, and introduce best practices for performance tuning, system reliability, and security. In the realm of backend and data engineering, you will own the Python-based backend to ensure efficient real-time data processing, work on low-latency system design to support algorithmic trading strategies, optimize storage solutions for handling large-scale financial data, and implement API-driven architectures leveraging WebSocket API & RESTful API knowledge. During live trading and incident management, you will monitor and troubleshoot live trading systems to minimize downtime, handle broker communication during execution issues and API failures, and set up automated monitoring, logging, and alerting for production stability. Your role will also entail team and project management, where you will lead, mentor, and scale a distributed engineering team, define tasks, set deadlines, and manage workflow using Zoho Projects, align team objectives with OKRs, and foster a strong engineering culture to ensure high performance and technical excellence. Additionally, you will be responsible for DevOps & Cloud Deployment, where you will manage cloud infrastructure, set up monitoring, logging, and automated alerting for production stability, oversee GitLab repositories, and implement robust CI/CD pipelines to accelerate deployment cycles. Preferred qualifications for this position include 7+ years of hands-on experience in backend development with expertise in Python, proven experience in leading engineering teams and delivering complex projects, strong knowledge of distributed systems, real-time data processing, and cloud computing, experience with DevOps, CI/CD, and containerized environments, familiarity with GitLab, AWS, and Linux-based cloud infrastructure, and knowledge in quantitative trading, financial markets, or algorithmic trading is a bonus. If you are a backend expert with a passion for building scalable, high-performance systems, enjoy leading teams and fostering a strong engineering culture, can balance hands-on coding with high-level architecture and leadership, thrive in a fast-paced, data-driven environment, and love solving complex technical challenges, then this role is for you. Join us and enjoy our perks!,

Role & responsibilities: Approval Process: Manage the end-to-end approval process for various trading facilities, including due diligence, documentation review, and coordination with internal stakeholders. Accordance to Regulatory requirements: The role ensures that all trading facilities used by the members are provided approval in accordance with regulatory requirements, internal risk frameworks, and business objectives. Periodic and Ad hoc Reporting: Provide periodic reports and status updates to senior management and compliance teams and provide actionable recommendations. Market Research: Provide recommendations based on market analysis and research on market trends and regulatory changes Process Optimization: Automate and automize processes and communicate clearly and effectively across various channels (Email, Phone and in person) Stakeholder Collaboration: Strong interpersonal and communication skills, with the ability to coordinate across departments. Preferred Skills: Strong understanding of trading platforms & market operations. Experience working with stock exchanges or brokerage firms. Exposure to algorithmic trading & related strategies. Excellent communication & interpersonal skills.