66 Algorithmic Trading Jobs

Role & responsibilities Present the whole process of algo deployment. Handle all algo deployment related queries of the clients. Monitor and record all the forward testing deployed algo in excel every day. Tracking Client's Subscriptions and live deployments Monitoring algo website and report any real-time issues to the Network. Educating Network Compliance in Algo to be looked after as and when required Coordinate with Vendors, Onboarding & Make vendors live Coordinate with IT for direct API clients Compliance with related to Algo to be updated and followed all the time in systems and educating network as and when required Preferred candidate profile At least 1 year experience Certification in Option Trading Strategies Excellent knowledge of Options, Options Strategies Technical knowledge of ALGO platforms Knowledge of Options Platform Customer upport experience. Basic knowledge of excel.

1) Execution of client trades with negligible errors and provide trade confirmations while ensuring complete compliance with regulatory and organisations compliance norms. 2) Achievement of assigned Clusters Revenue Targets , Managed Brokerage and Cross Selling Targets. 3) Dissemination of product recommendations messages to allocated client using compliant messaging systems. 4) Effective handling of client queries thus ensuring efficient client engagement. 5) Application of technical analysis to queries relating to the market and stock movements thus enabling conversion of opportunities into Trades. 6) Disseminating Fundamental research recommendations to meet investing requirements of allocated clients. 7) Efficient management of allocated book and achievement of the targeted revenues from this allocated book with a constant endeavor to grow the book over the time. 8) Constant efforts on direct databases for activation reactivation retention of clients. 9) To ensure the desired NPS score is achieved. Equity Dealing/ Trading, Good understanding of F & O, Algo Trading, Knowledge of Investment Products Location-Surat, Ahmedabad, Bengaluru, Chennai, Mumbai, Hyderabad, Kolkata, Pune, Shimoga (Shivamogga), Trivandrum, Delhi, Vadodara

You are invited to join Jaipuria Institute of Management, Noida Campus as a faculty member in the discipline of Business Analytics. Jaipuria Institute of Management, a distinguished institution under the Jaipuria Group, is deeply committed to delivering excellence in management education. With a rich legacy of more than two decades, the institute is renowned for its innovative teaching methods, industry-centric curriculum, and a thriving research ecosystem. Ranked among the top business schools in India, Jaipuria focuses on nurturing leadership qualities and promoting holistic development. The Noida Campus of Jaipuria Institute of Management is one of the four campuses accredited by the AACSB. We are currently seeking applications for faculty positions specifically in Business Analytics at our Noida Campus. Specialization subjects include Business Analytics, Business Forecasting, Data Visualization, Programming for Business Analytics, Machine Learning, Algorithmic Trading, Web and Social Media Analytics, Artificial Intelligence, Big Data & NLP, Python for Business Analytics, Business Intelligence and Decision Making, Technology and Automation for Services, Analytical Techniques for Business, among others. Ideal candidates for the Assistant Professor position should possess at least 4-5 years of teaching experience and exhibit a strong potential for excellence in both teaching and research. A Ph.D. in the relevant or related discipline from a top NIRF-ranked University or a highly ranked QS Global University is mandatory. For the Associate Professor position, applicants must demonstrate an outstanding research record, publications in reputed academic journals, and proven leadership skills in academia. A minimum of 8 years of teaching/research experience with a top-ranked University/Institution is required, along with a Ph.D. degree from a top NIRF-rated institute or a high-ranked QS University. Jaipuria Institute of Management offers Flexi Track for Faculty, acknowledging the diverse aspirations of academicians. This flexible approach allows individuals to focus on their strengths and interests, providing choices in teaching, research, or administration. Joining Jaipuria Institute of Management means entering a dynamic and enriching academic environment with recognition for quality research projects, opportunities for career advancement, and flexible career paths aligned with individual academic interests. Competitive remuneration, state-of-the-art infrastructure, and access to cutting-edge resources are provided. Faculty development is emphasized through mentoring, Faculty Development Programs (FDP), and participation in national and international academic events. Experience a vibrant and inclusive culture that nurtures professional and personal growth. Jaipuria Institute of Management is a Great Place to Work Certified with a high Trust Index, making it an ideal destination for academic professionals seeking a fulfilling career.,

As a Trader at GMIndia Pvt Ltd, you will play a crucial role in optimizing revenue generation across various financial markets, including traditional 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 enhancing trading strategies in both centralized and decentralized environments. Your key responsibilities will include executing trading strategies across multiple markets to generate consistent profits, developing and implementing algorithmic and discretionary trading strategies using AI and quantitative models, monitoring market movements and identifying arbitrage opportunities, engaging with DeFi ecosystems to optimize capital allocation, collaborating with tech and data science teams to enhance trading algorithms and automation tools, managing risk exposure in adherence to company policies and regulations, utilizing analytics and quantitative models for informed decision-making, and staying updated on regulatory changes and market trends. To qualify for this role, you should have 3-7+ years of trading experience across various markets, a strong understanding of blockchain, DeFi, and smart contracts, proficiency in technical, fundamental, and quantitative analysis, and knowledge of algorithmic trading and programming languages such as Python, Solidity, and Rust. Familiarity with DEXs, centralized exchanges, and liquidity strategies will be advantageous. This is a full-time position based in either Chennai or Ahmedabad. As a Trader at GMIndia Pvt Ltd, you will have the opportunity to work in a dynamic environment focused on disrupting the financial industry through innovative technologies like AI, blockchain, and data-driven strategies. Join us in optimizing revenue generation and driving growth across multiple financial markets.,

As a member of Cloudcraftz, a Singapore/India-based boutique quantitative research and AI services provider, you will be an integral part of our fast-growing Quantitative Finance practice. Your primary responsibilities will involve designing, testing, developing, and executing quantitative algorithmic trading strategies, models, and analytics. At Cloudcraftz, we place a strong emphasis on Machine Learning and AI as fundamental components of our design philosophy. Therefore, familiarity with these concepts is essential for this role. The ideal candidate should be a high-achieving graduate or postgraduate in finance, technology, statistics, or related fields with 1-3 years of experience. While prior experience in financial modeling or knowledge of financial markets is not mandatory, it is advantageous. In this role, you will need to embrace ambiguity while applying rigorous and systematic scientific approaches to problem-solving. We value curiosity paired with quantitative aptitude, and we encourage a willingness to learn and experiment with new ideas and methods. Proficiency in software development using Python/C++ and exposure to associated environments and libraries for data science, scientific computing, and quantitative finance are necessary. Effective written and oral communication skills are crucial, as you will be required to present information clearly and concisely. This full-time position is based in Kolkata initially, but opportunities for relocation to our Bengaluru and Singapore offices may be available for suitable candidates. If you are looking for a challenging role that combines quantitative finance, algorithmic trading, and AI within a dynamic and innovative environment, Cloudcraftz may be the perfect fit for you. Join us in shaping the future of financial services through cutting-edge research and technology. Please note that the notice period for this position is 30 days, and candidates currently serving their notice period are welcome to apply.,

The Faculty Position in the area of Business Analytics at Jaipuria Institute of Management, Lucknow Campus offers an exciting opportunity to be a part of a renowned institution dedicated to excellence in management education. As a part of the Jaipuria Group of Institutions, Jaipuria Institute of Management has a legacy spanning over two decades and is known for its innovative pedagogy, industry-focused curriculum, and robust research ecosystem. The institute is committed to nurturing leadership and fostering holistic development, consistently being ranked among India's top business schools. The Lucknow Campus of Jaipuria Institute of Management is inviting applications for faculty positions in the discipline of Business Analytics. The specialization subjects include Business Analytics, Business Forecasting, Data Visualization, Programming for Business Analytics, Machine Learning, Algorithmic Trading, Web and Social Media Analytics, Artificial Intelligence, Big Data & NLP, and Python for Business Analytics. The ideal candidate should have a PhD in Business Analytics or Computer Science, or a Post Graduation with area specialization subjects in Management from top NIRF-ranked Universities or high-ranked QS Global-ranked Universities. Applicants for the position of Assistant Professor should have approximately 3-4 years of teaching experience and exhibit a strong potential for excellence in teaching and research. A PhD from a top NIRF-ranked University/Institution or a highly ranked (QS-ranked) University/Institution is mandatory. On the other hand, applicants for the position of Associate Professor must demonstrate an outstanding research record, publications in reputed academic journals, and proven academic leadership skills. A minimum of 8 years of teaching/research experience with a top-ranked University/Institution is required, along with a Ph.D. degree from a top NIRF-rated institute or a high-ranking QS university. At Jaipuria Institute of Management, there is a Flexi Track for Faculty, which enables individuals to focus on their strengths and interests by choosing areas such as teaching or research. The institute provides a dynamic and enriching academic environment with recognition for quality research projects, opportunities for career advancement, flexible career paths tailored to individual academic interests, competitive remuneration aligned with industry standards, state-of-the-art infrastructure, and access to cutting-edge resources. Faculty development is emphasized through interventions like Mentoring, Faculty Development Programs (FDP), and participation in national and international academic events. The institute fosters a vibrant and inclusive culture that promotes professional and personal growth, being a Great Place to Work Certified with a high Trust Index.,

We are seeking a High-Frequency Trader (HFT) to join our team at Cyber Towers, Hitec City, Hyderabad, Telangana, for in-person night shifts aligned with US EST business hours. As a High-Frequency Trader at Shah Equity, a leading Private Equity and Hedge Fund firm, you will engage in executing rapid trades across various financial instruments. Leveraging our proprietary trading systems and collaborating with quants and portfolio managers, you will optimize trading strategies, achieve key performance indicators, and drive profitability. Your responsibilities will include actively executing high-volume trades with precision, implementing trading strategies using in-house algorithms, monitoring markets for patterns and opportunities, managing risks effectively, tracking daily performance metrics, and collaborating to enhance existing strategies. It is essential to maintain trading systems, adhere to compliance protocols, and possess a track record of 20% monthly P&L percentage. The ideal candidate will have proven experience in High-Frequency Trading or a similar role, a strong understanding of U.S. stock markets and scalping strategies, proficiency in Python and algorithmic trading, ability to thrive in a fast-paced environment, strong analytical and quantitative skills, and a bachelor's degree in Finance, Computer Science, Mathematics, or related field. Excellent communication, teamwork skills, and a commitment to working night shifts are crucial. This is a full-time permanent position with performance and quarterly bonuses offered. If you are looking to be part of a dynamic team in a cutting-edge trading environment, apply now to join Shah Equity as a High-Frequency Trader. For further details, please contact: HR Manager - Kiran T Email: kiran@shah-equity.com Website: www.shah-equity.com Location: Cyber Tower, Hi-Tech City, Hyderabad We look forward to welcoming you to our team.,

The role at FnOFund offers a unique opportunity to be a part of a capital-backed trading company that redefines possibilities in FnO (Futures & Options) trading. With the provision of up to 30x capital based on strategies and access to high-potential traders, FnOFund aims to empower its in-house traders to trade without limits across both NSE and BSE exchanges. As a member of the FnOFund team, you will be required to utilize your skills in market analysis and risk management to make informed trading decisions. Proficiency with algorithmic trading tools and platforms will be essential in executing trading strategies effectively. An understanding of various trading strategies, including Butterfly, Calendar, Bull-Bear, and Pulse Strategy, will be beneficial in navigating the dynamic trading environment. To excel in this role, you must possess excellent quantitative and analytical skills to interpret market trends and make data-driven decisions. While prior experience in an in-house trading environment is considered a plus, a strong foundation in market analysis and trading strategies is key to succeeding in this role. If you are someone who thinks big and aims to trade bigger, FnOFund invites you to join their team and be a part of shaping the future of FnO trading.,

As a member of our team, you will be welcomed into a diverse environment where learning, growth, and new opportunities are at the forefront. We offer the flexibility to work in various shifts and hours, enabling you to collaborate with your new colleagues in creating innovative products and solutions. You will thrive in a positive environment alongside like-minded individuals, where academic scores take a back seat to exceptional skills. Your primary responsibilities will include developing and implementing coding strategies for live trading environments, utilizing automated tools such as Excel and trading-based software. You will be involved in the design, testing, and optimization of high-performance algorithmic trading software, leveraging your expertise in mathematical and Computer Science principles. Real-time trade management, risk analysis, and system optimizations for data processing will be key components of your role. Collaboration with experienced teammates will be crucial as you work on bespoke solutions that enhance our technology stack by balancing speed, features, and cost. A strong foundation in object-oriented design, data structures, and algorithms will be essential for success. You will also be tasked with managing and enhancing existing software, particularly when working with large datasets and conducting data-mining and time-series analysis. To excel in this position, you will need to possess a degree in Computer Science, Electrical Engineering, Mathematics, Physics, or a related field. A solid professional background (2-4 years) in using C/C and Python within a UNIX / LINUX environment is required. Knowledge of network programming, multithreading, computational intelligence, and real-time applications will be beneficial. Familiarity with FIX protocol, TCP/IP, and GUI programming is also desired. We are seeking individuals who are hard-working, self-motivated, and dedicated to completing tasks efficiently. The ability to manage multiple responsibilities in a fast-paced setting is essential. Additionally, familiarity with R and Tableau will be advantageous in this role.,

As an exceptional quantitative trader with a proven track record of success, you are sought after for a rare opportunity in the field of High-Frequency Trading (HFT) in Bangalore, India. This role requires individuals with strategic expertise and algorithmic prowess to thrive in a fast-paced and intellectually rigorous environment. Your professional journey should showcase a career focused on applying advanced quantitative models to solve real-world trading problems. From model development to full-cycle strategy execution, your evolution should demonstrate an ability to adapt to changing market dynamics and excel in new trading environments and asset classes. Your projects and performance history should highlight consistent P&L generation, effective risk management, and a track record of developing alpha signals or enhancing existing trading strategies. You should have experience owning projects from conception to live deployment, collaborating with research and development teams to capitalize on market inefficiencies. Your professional skills should combine technical depth with strategic vision, enabling you to identify patterns in large datasets and translate them into actionable trading insights. Project leadership, managing trade-offs between speed and risk, and effective communication with technical and non-technical stakeholders are essential skills. With a strong command of quantitative trading principles, proficiency in statistical modeling, machine learning techniques, and time series analysis, you should also have hands-on experience with back-testing frameworks, simulation environments, market data APIs, trading protocols, and exchange connectivity. Your academic background should reflect a strong quantitative field, a history of continuous learning in quantitative finance, and any relevant professional qualifications or published research would be highly valued. In a collaborative, high-energy environment, you excel at building relationships with researchers and developers to achieve shared goals. Motivated by a meritocratic culture, you thrive on intellectual challenges, possess a competitive drive, a sense of accountability, and a commitment to excellence. Your sharp analytical mindset, adaptability to new technologies, and persistence in tackling complex problems are key attributes for success in this role. If you are prepared to lead with conviction, build enduring solutions, and embrace high-stakes challenges, we encourage you to apply for this exciting opportunity. For more information or to connect directly, please reach out to: Email: info@aaaglobal.co.uk Website: www.aaaglobal.co.uk Confidential conversations are always welcome.,

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.,