11 Trading Systems Jobs

Over the last 20 years, Ares success has been driven by our people and our culture. Today, our team is guided by our core values - Collaborative, Responsible, Entrepreneurial, Self-Aware, Trustworthy - and our purpose to be a catalyst for shared prosperity and a better future. Through our recruitment, career development, and employee-focused programming, we are committed to fostering a welcoming and inclusive work environment where high-performance talent of diverse backgrounds, experiences, and perspectives can build careers within this exciting and growing industry. PRIMARY FUNCTIONS AND ESSENTIAL RESPONSIBILITIES Conducting forensic, periodic, and transactional testing to ensure adherence to firm compliance and ethics policies. Performing testing of electronic communication messages, social media posts, preclearance of business gifts, business entertainment, outside business activities and political contributions, trade errors, and other compliance policies. Assisting with analysis, development, and implementation of new and/or enhanced surveillance reviews and processes. Collaborating with the business and reporting on the progress of corrective action plans. Maintaining, tracking, and reporting key performance indicators/metrics for Corporate Compliance as assigned. Providing high level client service to employees across the global enterprise. QUALIFICATIONS Education: B. Com / M. Com / MBA / CA / Degree in Commerce/Finance. Work Experience / Knowledge: 3 - 6 years of work experience in Corporate Compliance and regulatory environment. Knowledge of financial products is an added advantage. General Requirements: Ability to learn quickly and understand the processes with clarity. Strong analytical skills. Meticulous attention to detail. Excellent written, verbal, and interpersonal skills. Open to work flexible hours. Self-starter who enjoys a team-oriented and collaborative approach. Proficiency on MS Office suite of applications. Familiarity with trading systems and compliance systems such as Star Compliance, Global Relay, OMS, Bloomberg is an added advantage. Reporting Relationships Senior Associate, Compliance. There is no set deadline to apply for this job opportunity. Applications will be accepted on an ongoing basis until the search is no longer active.,

Are you ready to elevate your career in a fast-paced, innovative environment You will have the opportunity to utilize and keep developing your skills while contributing to a team that values growth and collaboration. Join us and be part of a company that supports your professional journey and offers exciting challenges. As a Trading Services Associate ll within JPMorganChase, you will play a pivotal role in the seamless execution of trade activities, from order entry to settlement. While still developing, your expertise in market products and understanding of automation technologies will be instrumental in optimizing our trading services. You will be expected to leverage your proficiency in change management and continuous improvement to enhance the efficiency and resilience of our operating platform. Your role will also allow you to keep developing your relationships with internal stakeholders, presenting insights to senior management, and driving process improvements. Your decisions will contribute and impact on short-term team and department goals, and you will often guide others in their work activities, contributing to the overall success of our trading services. Execute daily trading operations efficiently, ensuring timely and accurate trade execution while collaborating with traders and team members to resolve discrepancies. Monitor and reconcile trading accounts to maintain accuracy, driving the development and implementation of process improvements for enhanced operational efficiency. Deliver exceptional service to internal and external clients, maintaining up-to-date knowledge of market trends, trading regulations, and ensuring compliance with company policies and industry standards. Prepare and analyze trading reports for management review, actively participating in team meetings and contributing to strategic discussions. Assist in training and mentoring junior team members, fostering a collaborative and growth-oriented environment. Manage ad-hoc projects and tasks as assigned, demonstrating adaptability and a proactive approach to addressing emerging needs. Required qualifications, capabilities, and skills: - Extensive experience in trading or financial services, showcasing a deep understanding of industry practices and operations. - Strong analytical and problem-solving skills, enabling effective decision-making and innovative solutions. - Excellent communication and interpersonal abilities, facilitating clear and productive interactions with colleagues and stakeholders. - Proficiency in Microsoft Office Suite, particularly Excel, along with advanced digital literacy for integrating innovative technologies in trade services. - Ability to thrive in fast-paced environments, maintaining a detail-oriented approach and strong organizational skills to manage multiple tasks and adapt to changing priorities. - Demonstrated capability to work collaboratively in team settings, with a solid knowledge of trading systems and financial markets, and a strong commitment to delivering high-quality results. Preferred qualifications, capabilities, and skills: - Proficiency in trading platforms and software, demonstrating the ability to effectively navigate and optimize these tools. - Understanding of regulatory requirements in the trading industry, ensuring compliance and adherence to industry standards. - Capability to leverage digital literacy for adopting and integrating innovative technologies, enhancing trade services and operational efficiency. - Skill in utilizing AI and machine learning to enhance trade service processes, driving improved decision-making and data-driven insights.,

We are looking for a senior software/data warehouse engineer who can balance technology skills with financial domain knowledge and good communication skills. The right candidate would be able to own their projects from start to finish and interact directly with their business constituents in accounting, asset management, operations, or trading. This is a great opportunity to be a part of a large-scale proprietary fintech platform while honing one's technical skills and learning the private credit business. Ideal candidates will be organized, analytical, self-motivated, resourceful, and able to work effectively with all internal functional groups. Responsibilities: Collaborate with Arenas CTO/Head of Software Development on the design and development firm's data warehouse and business intelligence (BI) systems, ensuring data is integrated, clean, and structured for effective analysis and reporting. Implement and optimize ETL (Extract, Transform, Load) processes to integrate diverse data sources (including trading systems, financial market data, portfolio management platforms, and external data feeds). Develop and manage data pipelines, data models, and reporting frameworks to meet the growing needs of the business. Explore leveraging ML/AI methodologies to innovate data analysis and processing. Lead and mentor a team of data developers and analysts, providing technical guidance, conducting code reviews, and ensuring adherence to best practices. Education: Bachelor's or Master's degree in Computer Science, Information Technology, Data Science, Engineering, or a related field. Relevant certifications (e.g., Microsoft Certified: Azure Data Engineer, Google Professional Data Engineer, or similar) are a plus. Requirements: Bachelor's or Master's degree in Computer Science, Information Technology, Data Science, Engineering, or a related field. Relevant certifications (e.g., Microsoft Certified: Azure Data Engineer, Google Professional Data Engineer, or similar) are a plus. 10+ years of experience in data development, with at least 3 years in a leadership or senior development role focused on data warehousing, analytics, and business intelligence. Expert in Microsoft SQL Server and related concepts (T-SQL, Stored Procedures, Reporting Server, ETLs, data transformation). Experience (even at a classroom level) of cloud-based data solutions (e.g., Snowflake, DataBricks, AWS Redshift, Google BigQuery) a plus. .Net Technology stack including C#, Entity Framework, MS-SQL, etc. Hands-on experience with analytics and reporting tools (e.g., Power BI, Tableau, etc). Familiarity with ML/AI concepts/libraries a plus. Experience working in the financial services or investment management industry, with an understanding of financial data, trading systems, portfolio management, and risk management. Comfortable with Agile/Scrum SDLC. Excellent communication and project management skills. Strong attention to detail. Benefits: 100% Company-paid medical benefits.,

This is a contract hybrid role for a Quantitative Developer. The Quantitative Developer will be responsible for tasks related to Trading, Quantitative Analytics, Quantitative Finance, Mathematics, and Statistics. Responsibilities : - Develop, implement, and maintain quantitative models and algorithms for trading, risk management, and financial analysis. - Design and build high-performance systems for trading and financial applications. - Collaborate with quantitative analysts, traders, and other stakeholders to understand business requirements and translate them into technical solutions. - Write efficient, robust, and well-documented code in C++ and/or C#. - Optimize existing code and systems for performance and scalability. - Conduct thorough testing and validation of models and systems. - Contribute to the development of software development best practices. - Support the integration of new algorithms into existing trading infrastructure. - Conduct code reviews, assist in troubleshooting, and debug issues in production systems. - Participate in the documentation of processes and systems. Qualifications : - Experience in Trading, Quantitative Analytics, and Quantitative Finance. - Proficiency in programming languages such as C++ and C# (Must-have). - Experience in financial markets and derivatives. Required Skills and Qualifications : - Minimum 3 years of professional programming experience in C# or C++. - Strong expertise in implementing complex algorithms and high-performance systems. - Solid understanding of efficient coding practices and optimization techniques. - 3+ years of experience developing and supporting critical applications within financial institutions or extensive experience in similarly complex industries. - Good understanding of financial domain concepts, systems, and tools. - Experience with version control systems (e.g., Git). - Strong analytical and problem-solving skills. - Excellent communication and collaboration skills. Key Skills : - C#, C++ - Algorithms, High-Performance Computing - Financial Applications - System Optimization, Fintech, Hybrid Development Teams, Domain Collaboration. Preferred Qualifications : - Bachelor's or Master's degree in Computer Science, Mathematics, Physics, Statistics, Financial Engineering, or a related quantitative field. - Experience with scripting languages such as Python. - Knowledge of database systems (SQL, NoSQL). - Familiarity with cloud computing platforms (e.g., AWS, Azure). - Experience with Agile development methodologies.

We are looking for a Senior Python Developer with 3-4 years of experience and a solid understanding of stock market dynamics, technical indicators, and trading systems. Your main responsibilities will include taking charge of backtesting frameworks, optimizing strategies, and creating high-performance trading modules that are ready for production. The ideal candidate is expected to possess critical thinking skills when it comes to trading logic, demonstrate precision in handling edge cases, and have the ability to write clean, scalable, and testable code. Working in a fast-paced, data-intensive environment where accuracy and speed are crucial should be something you are comfortable with. Your responsibilities will involve designing and maintaining robust backtesting and live trading frameworks, developing modules for strategy building, simulation, and optimization, as well as integrating with real-time and historical market data sources such as APIs and databases. Utilizing libraries like Pandas, NumPy, TA-Lib, Matplotlib, and SciPy for data processing and signal generation will be part of your daily tasks. Additionally, you will be applying statistical methods to validate strategies, optimizing code for low-latency execution and memory efficiency, and collaborating with traders and quants to implement and iterate on ideas. Managing codebases with best practices using Git, including unit testing and modular design, is also expected from you. The qualifications we are looking for include 3-4 years of Python development experience, particularly in data-intensive settings, a strong grasp of algorithms, data structures, and performance optimization, and hands-on experience with technical indicators, trading strategy design, and data visualization. Proficiency in Pandas, NumPy, Matplotlib, SciPy, TA-Lib, as well as strong SQL skills and experience with structured and time-series data are essential. Exposure to REST APIs, data ingestion pipelines, and message queues like Kafka and RabbitMQ would be advantageous. Experience in using version control systems like Git and collaborative development workflows is also required. Preferred experience for this role includes hands-on experience with trading platforms or algorithmic trading systems, familiarity with order management systems (OMS), execution logic, or market microstructure, prior work with cloud infrastructure (AWS, GCP) or Docker/Kubernetes, and knowledge of machine learning or reinforcement learning in financial contexts is considered a bonus. This job opportunity is presented by Human Resource from Codeline Tech.,

Project description We are looking for an experienced Murex MxML Consultant to work across our client base. Responsibilities Key responsibilities of the role include engaging with business, conducting analysis, developing requirements, reviewing technical and functional design, building, and testing solutions, and ensuring proper closure of the different initiatives by taking ownership/accountability end to end. Analysis & Documentation of user requirements and transpose into Functional Specifications Act as key liaison with Global Markets Operation teams (business and their supporting functions), IT teams as well as with the vendors Participate actively in discussions with business, understand their needs and transform them into change or project initiatives Define the systems and data requirements and validate the systems design and processes from functional and technical aspects Develop and refine the various business/functional/testing requirements in support of the project and systems involved, working alongside the vendor if needed Configuration of the solution as per requirements Act as the subject matter expert for Murex suite of tools used within Operations (Functional & Technical) and ensuring that all functionality of the products are installed and leveraged to its best capability within the group Creation of test plan, test cases, execution of system testing Contribute to the User Training activities, through one-to-one discussion, preparation of user training guides & presentations Follow up with vendor support as and when necessary to resolve bugs/issues Ensure technical and functional handover of the project and changes to the relevant teams Assist in developing business and operational processes and to participate in developing system training artefacts when required Skills 6+ years Experience in MxML configuration / development Strong record of stakeholder management and leadership skills Strong understanding of the financial markets, trading, and banking solutions Strong knowledge of the Global Markets products and practices, front-to-end: pricing, limit checks, booking, risk management, accounting generation, settlements, and confirmation generation You must be technically astute and have had relevant exposure and experience with bank systems and processes Strong proven track record of liaising with stakeholders for business requirements, specification documents, testing processes, and other relevant information Strong numerical skills coupled with the ability to deliver well under pressure and tight deadlines You must display strong verbal and written communication skills

Role Description : This is a contract hybrid role for a Quantitative Developer. The Quantitative Developer will be responsible for tasks related to Trading, Quantitative Analytics, Quantitative Finance, Mathematics, and Statistics. Responsibilities : - Develop, implement, and maintain quantitative models and algorithms for trading, risk management, and financial analysis. - Design and build high-performance systems for trading and financial applications. - Collaborate with quantitative analysts, traders, and other stakeholders to understand business requirements and translate them into technical solutions. - Write efficient, robust, and well-documented code in C++ and/or C#. - Optimize existing code and systems for performance and scalability. - Conduct thorough testing and validation of models and systems. - Contribute to the development of software development best practices. - Support the integration of new algorithms into existing trading infrastructure. - Conduct code reviews, assist in troubleshooting, and debug issues in production systems. - Participate in the documentation of processes and systems. Qualifications : - Experience in Trading, Quantitative Analytics, and Quantitative Finance. - Proficiency in programming languages such as C++ and C# (Must-have). - Experience in financial markets and derivatives. Required Skills and Qualifications : - Minimum 3 years of professional programming experience in C# or C++. - Strong expertise in implementing complex algorithms and high-performance systems. - Solid understanding of efficient coding practices and optimization techniques. - 3+ years of experience developing and supporting critical applications within financial institutions or extensive experience in similarly complex industries. - Good understanding of financial domain concepts, systems, and tools. - Experience with version control systems (e.g., Git). - Strong analytical and problem-solving skills. - Excellent communication and collaboration skills. Key Skills : - C#, C++ - Algorithms, High-Performance Computing - Financial Applications - System Optimization, Fintech, Hybrid Development Teams, Domain Collaboration. Preferred Qualifications : - Bachelor's or Master's degree in Computer Science, Mathematics, Physics, Statistics, Financial Engineering, or a related quantitative field. - Experience with scripting languages such as Python. - Knowledge of database systems (SQL, NoSQL). - Familiarity with cloud computing platforms (e.g., AWS, Azure). - Experience with Agile development methodologies.

Role Description : This is a contract role for a Quant Developer at Emperen Technologies. The Quant Developer will be responsible for trading analysis, quantitative analytics, quantitative finance, mathematics, and statistics. This role is located on-site in Bengaluru. Qualifications : - 3+ years professional programming experience in C# or C++. - 3+ years developing and supporting critical applications in financial institutions or considerable experience in other areas/industries. - BSc in a scientific discipline such as Computer Science, Mathematics, Physics, or Engineering. - Higher degree (MSc or PhD) in a scientific discipline. - Quant Developers need strong programming skills to implement complex algorithms and models. - C# and C++ are commonly used in financial applications for their performance and efficiency. - Quant Developers often work on similar financial applications, requiring a deep understanding of financial systems and tools. - A strong foundation in a scientific discipline is crucial for understanding and developing quantitative models and algorithms. - Advanced degrees often provide deeper knowledge in quantitative methods, which is beneficial for complex financial modeling. Nice to have : - Experience designing/building end-user interfaces (e.g., risk visualization, pricing). - Experience working with Quantitative analysts. - Familiarity with other programming languages (Python, C++). - Knowledge of pricing theory and financial engineering. - Knowledge of grid computing (MS HPC) or Azure Batch. - Data Science knowledge/experience. - Familiarity with continuous delivery/integration using Team City and GitHub.

You will be working on a team focused on electronic market making and execution.You will work with other engineers and traders to improve all aspects of price-making, risk management and execution.You'll do this with a keen eye on performance, guided by a robust measurement framework and lots of experimentation. You will have an opportunity to develop a deep understanding of how GS interacts with some of the most dynamic and liquid markets in the world. Responsibilities and Qualifications Principal Responsibilities Analyze trading system performance and identify areas for improvement. Generate ideas for system enhancements that drive commercial performance. Implement, test and deploy these ideas. Improve the safety and reliability of trading systems. Work constructively in collaboration with other team members. Manage work to balance the short-term needs of the business with strategic enhancements. Experience/Skills Strong academic background in Computer Science or an analytical field such as Mathematics, Physics, Engineering, etc. Strong software engineering background. Proven ability to analyze data and draw useful commercial conclusions. Good communication skills. Experience of the following would be advantageous Securities/trading experience. Multi-threaded/concurrent programming. Java/C++ performance tuning. Low-latency systems, including messaging, network protocols, network I/O in Java, C/C++, JNI. Hardware stack and hardware architecture from a latency perspective. Know your way around a Linux terminal

The Role As a Product Manager, you'll lead the development of mission-critical software modules Order Management Systems (OMS), Risk Management Systems (RMS), and Client Management Systems (CMS)used by several brokers to handle millions of trades. Youll work at the intersection of real-time trading tech, evolving SEBI regulations, and client-driven feature innovation You must bring deep domain understanding, technical acumen, and a sharp instinct for solving broker-side pain points. 4-8 years in Product Management with strong exposure to broking platforms, trading systems, or capital markets technology. Deep understanding of Indian trading infrastructure OMS, RMS, back-office workflows, and SEBI/Exchange regulations. Familiarity with exchange tech stacks (NOW, NEAT, Omnesys, Refinitiv, FIX APIs, etc.). Strong grasp of trading workflows including order placement, margin checks, square-off logic, fund limits, settlement cycles, and audit requirements. Excellent analytical and documentation skills able to break down complex, high-stakes systems into scalable, testable product features. Tech-aware, with the ability to interface with architects, engineers, and QA in highly You Will Do: Own and define the roadmap for OMS, RMS, and CMS platformsprioritize features, define business logic, and guide execution from idea to deployment. Lead the design of Order Management Systems that support multi-leg orders, basket trades, slicing strategies, and multi-exchange routing with ultra-low latency. Develop robust Risk Management frameworks that enforce client-wise exposure limits, margin checks (SPAN + ELM), peak margin validation, square-off logic, and MTM alerts in real time. Build or integrate advanced Client Management modules , eDIS workflows, UCC/KRA validations, transaction monitoring, and regulatory reporting. Interact closely with key stakeholders at client firmsdealers, RMS heads, compliance officers, back-office leadsto collect deep insights and translate them into actionable features. Ensure end-to-end integration with exchange APIs like NSE NOW, NEAT, Omnesys/Nest, IML FIX, and BSE Bolt, as well as third-party RMS vendors and market data providers. Monitor SEBI and exchange circulars; analyze impact and drive fast product iterations for regulatory alignment (e.g., upfront margining, T+1 settlement, new order types). Create detailed BRDs, functional specs, user stories, and wireframes that capture complex trading and compliance workflows. Collaborate with Engineering, QA, and DevOps to deliver stable, high-performance releases on time, with a focus on throughput, latency, and security. Define and monitor product KPIs like: OMS: Order success rates, latency, peak load handling RMS: Margin utilization, breach tracking, risk override logs Conduct competitive benchmarking (e.g., vs Omnesys, Refinitiv, proprietary dealer terminals) to identify strategic product gaps or advantages. Serve as internal SME (Subject Matter Expert) on market microstructure, order types, circuit limits, and broking-specific use cases. (Bonus): Work on initiatives related to High-Frequency Trading (HFT) smart order routing, co-location strategies, FIX protocols, and microsecond-level decision success looks like: Your OMS handles millions of orders/day with sub-100ms response times. RMS logic you define protects brokers without compromising execution agility. Your CMS proactively flags compliance gaps before auditors or regulators do.

This is a contract role for a Quant Developer at Emperen Technologies. The Quant Developer will be responsible for trading analysis, quantitative analytics, quantitative finance, mathematics, and statistics. This role is located on-site in Bengaluru. Qualifications : - 3+ years professional programming experience in C# or C++. - 3+ years developing and supporting critical applications in financial institutions or considerable experience in other areas/industries. - BSc in a scientific discipline such as Computer Science, Mathematics, Physics, or Engineering. - Higher degree (MSc or PhD) in a scientific discipline. - Quant Developers need strong programming skills to implement complex algorithms and models. - C# and C++ are commonly used in financial applications for their performance and efficiency. - Quant Developers often work on similar financial applications, requiring a deep understanding of financial systems and tools. - A strong foundation in a scientific discipline is crucial for understanding and developing quantitative models and algorithms. - Advanced degrees often provide deeper knowledge in quantitative methods, which is beneficial for complex financial modeling. Nice to have : - Experience designing/building end-user interfaces (e.g., risk visualization, pricing). - Experience working with Quantitative analysts. - Familiarity with other programming languages (Python, C++). - Knowledge of pricing theory and financial engineering. - Knowledge of grid computing (MS HPC) or Azure Batch. - Data Science knowledge/experience. - Familiarity with continuous delivery/integration using Team City and GitHub.