Trade Monitoring Analyst Jobs

We are seeking a highly analytical and technical professional to spearhead the evolution of our trading infrastructure. This hybrid role combines the fast-paced execution of a Trading Operations Specialist, the analytical rigor of a Risk Manager, and the technical capabilities of an AI-focused Developer. The successful candidate will not only manage daily operational workflows and risk monitoring but will also lead the digital transformation of these functions. You will leverage Large Language Models (LLMs), machine learning, and advanced scripting to automate legacy manual processes, improve predictive risk modeling, and build real-time performance visualization tools and analyses. Key Responsibilities: 1. Trading Operations and Performance Analysis with AI Manage the end-to-end lifecycle of trades across multi-asset classes. Develop agentic AI workflows using Python (ML) and MLOps tools to automate manual operations and reconciliations Perform daily P&L attribution and explain variance by decomposing market moves, Greeks, and new activity. Leverage AI/ML frameworks (e.g., OpenAI API, LangChain, or local LLMs) to build intelligent agents for anomaly detection in trade data and automated commentary generation for P&L reports. Ensure data integrity across trading systems, middle-office platforms, and downstream finance ledgers. Use AI tools to build reporting and analyses on trading performance and perform adhoc business analytics 2. Risk Monitoring & Control Intelligent Risk Management: Develop real-time, AI-driven risk models that use machine learning to predict market volatility and alert the desk to emerging cross-market risks. Develop and maintain sophisticated risk reporting dashboards for the desk. Requirements & Qualifications: Experience: 3+ years i

We are seeking a highly analytical and technical professional to spearhead the evolution of our trading infrastructure. This hybrid role combines the fast-paced execution of a Trading Operations Specialist, the analytical rigor of a Risk Manager, and the technical capabilities of an AI-focused Developer. The successful candidate will not only manage daily operational workflows and risk monitoring but will also lead the digital transformation of these functions. You will leverage Large Language Models (LLMs), machine learning, and advanced scripting to automate legacy manual processes, improve predictive risk modeling, and build real-time performance visualization tools and analyses. Key Responsibilities: 1. Trading Operations and Performance Analysis with AI Manage the end-to-end lifecycle of trades across multi-asset classes. Develop agentic AI workflows using Python (ML) and MLOps tools to automate manual operations and reconciliations Perform daily P&L attribution and explain variance by decomposing market moves, Greeks, and new activity. Leverage AI/ML frameworks (e.g., OpenAI API, LangChain, or local LLMs) to build intelligent agents for anomaly detection in trade data and automated commentary generation for P&L reports. Ensure data integrity across trading systems, middle-office platforms, and downstream finance ledgers. Use AI tools to build reporting and analyses on trading performance and perform adhoc business analytics 2. Risk Monitoring & Control Intelligent Risk Management: Develop real-time, AI-driven risk models that use machine learning to predict market volatility and alert the desk to emerging cross-market risks. Develop and maintain sophisticated risk reporting dashboards for the desk. Requirements & Qualifications: Experience: 3+ years i

Datadog is a world-class monitoring and security platform for cloud applications. We're dedicated to creating, developing, and supporting our product and customers, fostering seamless collaboration and problem-solving among Dev, Ops, and Security teams globally. Built by engineers for engineers, our SaaS product is trusted by organizations of all sizes across various industries, driving digital transformation, cloud migration, and infrastructure monitoring for our customers' entire technology stacks. As cloud technologies continue to evolve and digital operations become ever more crucial, Datadog remains at the forefront of innovation and is well-positioned for sustained growth. Datadog's Finance team partners with stakeholders across the organization, providing commercial, operational, and analytical support to ensure that Datadog's business continues its rapid and efficient growth. The Equity Administration team is responsible for overseeing the full cycle of stock administration on a global basis, collaborating with groups across Accounting, Tax, People, Payroll, and Legal to manage Datadog's equity plans worldwide. Our work spans the processing of equity transactions including RSU releases, stock option exercises, and ESPP purchases; management of equity-related inquiries from employees, executives, investors, and other key partners; day-to-day management of the E*TRADE Equity Edge Online platform; global equity reporting and tax compliance; oversight of equity procedures, policies, and controls; and employee education on equity programs. We are seeking a hands-on Equity Administration Assistant Manager to own our complex and high-risk equity workstreams. Reporting to the Senior Manager, Equity Administration, the Assistant Manager will serve as a first level preparer or reviewer on equity transactions, assist with process documentation, and work closely with various internal teams across Accounting, Tax, People Operations, Payroll, and Legal. This is a ro

A Career with Point72’s Surveillance Team Point72’s Surveillance team sets the industry standard for intelligence driven surveillance by proactively identifying, monitoring, and assessing various sources of compliance risk using proprietary tools and specialized tradecraft. We support senior management by providing strategic assessments, actionable recommendations, and real-time escalations. At Point72, members of the Surveillance team conduct integrated trade and communication surveillance and collaborate to turn information into intelligence for our internal customers. The team also monitors employee activity for evidence of violations of applicable federal securities laws, internal compliance policies and procedures, and relevant rules and regulations enforced by the SEC, FINRA, and other organizations. What you’ll do Conduct routine trade surveillance and investigations Conduct routine communication surveillance for potential violations of relevant securities laws, rules, regulations, and Firm policies, and escalate suspicious or non-compliant events Craft intelligence questions, and appropriately scope research to produce sophisticated and well-written analysis that provides insight and risk analysis, not simply information Use tools and methodologies such as structured analytic techniques to improve analysis, check assumptions, and identify signposts or indicators of change Work with managers to respond to information requests from financial regulators and ad-hoc taskings from members of the senior management team Serve as a subject matter expert in your assigned coverage and stay abreast of relevant regulations, industry best practices, and internal policies Leverage resources, technology, and information to minimize risk and protect the firm What’s required We hire candidates with a wide range of academic and professional backgrounds; many have prior experience working in the US Intelligence Community, but some come from the private sector or j

A Career with Point72's Surveillance Team Point72’s Surveillance team sets the industry standard for intelligence driven surveillance by proactively identifying, monitoring, and assessing various sources of compliance risk using proprietary tools and specialized tradecraft. We support senior management by providing strategic assessments, actionable recommendations, and real-time escalations. At Point72, members of the Surveillance team conduct integrated trade and communication surveillance and collaborate to turn information into intelligence for our internal customers. The team also monitors employee activity for evidence of violations of applicable federal securities laws, internal compliance policies and procedures, and relevant rules and regulations enforced by the SEC, FINRA, and other organizations. WHAT YOU'LL DO Conduct routine trade surveillance and investigations. Conduct routine communication surveillance for potential violations of relevant securities laws, rules, regulations, and Firm policies, and escalate suspicious or non-compliant events. Craft intelligence questions, and appropriately scope research to produce sophisticated and well-written analysis that provides insight and risk analysis, not simply information. Use tools and methodologies such as structured analytic techniques to improve analysis, check assumptions, and identify signposts or indicators of change. Work with managers to respond to information requests from financial regulators and ad-hoc taskings from members of the senior management team. Serve as a subject matter expert in your assigned coverage and stay abreast of relevant regulations, industry best practices, and internal policies. Leverage resources, technology, and information to minimize risk and protect the firm. WHAT'S REQUIRED We hire candidates with a wide range of academic and professional backgrounds; many have prior experience working in the US Intelligence Community, but some come from the private sector or joi

About BlockTech As a Quantitative Trader on our Singapore trading floor, you’ll own positions and PnL end-to-end from interpreting live market flow and liquidity through tuning and intervening in our automated systems, all the way to shaping the next generation of execution logic and trading tools. You’ll sit shoulder-to-shoulder with Quantitative Researchers, Quantitative Developers, and Software Engineers, and your decisions will directly drive how we trade across venues. The role Managing and monitoring Delta1 positions across multiple venues, owning the PnL and risk that comes with them Reading live market flow, liquidity conditions, and market events, and translating that read into concrete trading and execution decisions Tuning and parameterising our automated and semi-automated systems, and knowing when to step in to manage risk or capture an opportunity Improving execution quality and market-making performance through data-driven analysis of strategy behaviour Designing and specifying the trading tools, dashboards, and analytics that the desk relies on to make decisions Collaborating closely with researchers, developers, and engineers to sharpen models, infrastructure, and execution logic, and shaping the roadmap for new trading initiatives What we’re looking for 3+ years of experience as a Quantitative Trader and/or Quantitative Researcher in a professional trading environment, with demonstrated PnL responsibility on linear (Delta1) products across multiple venues Hands-on experience operating automated and semi-automated trading systems under live conditions: monitoring, tuning, and intervening when it matters Strong analytical instincts: you can take a messy dataset of fills and quotes and turn it into a concrete execution improvement A deep, intuitive grasp of market microstructure and the ability to explain why a strategy works, not just that it does Proficiency in Python for analysis, tooling, and interaction with trading systems An ownership mindset:

A Career with Point72’s Surveillance Team Point72’s Surveillance team sets the industry standard for intelligence driven surveillance by proactively identifying, monitoring, and assessing various sources of compliance risk using proprietary tools and specialized tradecraft. We support senior management by providing strategic assessments, actionable recommendations, and real-time escalations. At Point72, members of the Surveillance team conduct integrated trade and communication surveillance and collaborate to turn information into intelligence for our internal customers. The team also monitors employee activity for evidence of violations of applicable federal securities laws, internal compliance policies and procedures, and relevant rules and regulations enforced by the SEC, FINRA, and other organizations. What you’ll do Conduct routine trade surveillance and investigations Conduct routine communication surveillance for potential violations of relevant securities laws, rules, regulations, and firm policies, escalating suspicious or non-compliant events Partner with technology and compliance stakeholders to calibrate alert parameters and thresholds, and conduct data quality and completeness reviews across the market abuse surveillance program Craft intelligence questions and appropriately scope research to produce sophisticated and well-written analysis that provides insight and risk analysis Use tools and methodologies such as structured analytic techniques to improve analysis, check assumptions, and identify signposts or indicators of change Work with managers to respond to information requests from financial regulators and ad-hoc taskings from members of the senior management team Serve as a subject matter expert in your assigned coverage and stay abreast of relevant regulations, industry best practices, and internal policies Leverage resources, technology, and information to minimize risk and protect the firm What’s required Bachelor’s degree

About BlockTech As a Quantitative Trader on our Singapore trading floor, you’ll own positions and PnL end-to-end, from interpreting live market flow and liquidity through tuning and intervening in our automated systems, all the way to shaping the next generation of execution logic and trading tools. You’ll sit shoulder-to-shoulder with Quantitative Researchers, Quantitative Developers, and Software Engineers, and your decisions will directly drive how we trade across venues. The role Managing and monitoring D1 positions across multiple venues, owning the PnL and risk that comes with them Reading live market flow, liquidity conditions, and market events, and translating that read into concrete trading and execution decisions Tuning and parameterising our automated and semi-automated systems, and knowing when to step in to manage risk or capture an opportunity Improving execution quality and market-making performance through data-driven analysis of strategy behaviour Designing and specifying the trading tools, dashboards, and analytics that the desk relies on to make decisions Collaborating closely with researchers, developers, and engineers to sharpen models, infrastructure, and execution logic, and shaping the roadmap for new trading initiatives What we’re looking for 3+ years of experience as a Quantitative Trader and/or Quantitative Researcher in a professional trading environment, with demonstrated PnL responsibility on linear (D1) products across multiple venues Hands-on experience operating automated and semi-automated trading systems under live conditions: monitoring, tuning, and intervening when it matters Strong analytical instincts: you can take a messy dataset of fills and quotes and turn it into a concrete execution improvement A deep, intuitive grasp of market microstructure and the ability to explain why a strategy works, not just that it does Proficiency in Python for analysis, tooling, and interaction with trading systems An ownership mindset: being p

A Career with point72’s Surveillance team Point72’s Surveillance team sets the industry standard for intelligence-driven surveillance by proactively identifying, monitoring, and assessing various sources of compliance risk using proprietary tools and specialized tradecraft. We support senior management by providing strategic assessments, actionable recommendations, and real-time escalations. At Point72, members of the Surveillance team conduct integrated trade and communication surveillance and collaborate to turn information into intelligence for our internal customers. The team also monitors employee activity for evidence of violations of applicable federal securities laws, internal compliance policies and procedures, and relevant rules and regulations enforced by the SEC, FINRA, and other organizations. What you’ll do As a Machine Learning Engineer - Applied Scientist you will play a critical role in developing algorithmic solutions and models for production-ready applications that support our front office investment professionals. You will specialize in natural language processing (NLP) solutions that extract insights from unstructured text data, with additional capabilities in predictive modeling, clustering, and time series analysis. You will manage all aspects of the research process including methodology selection, data collection and analysis, implementation and testing, prototyping, and performance evaluation. You will apply, adapt, and extend existing results in the broad field of NLP, while also conducting novel research as required. Specifically, you will: Contribute to projects across various machine learning (ML) disciplines, including NLP, unstructured data analysis, predictive modeling, and classic machine learning. Implement GenAI solutions, utilize ML infrastructure, and contribute to modeling, data preparation, optimization, and performance enhancements. Work with sparse data and apply techniques to improve model accuracy and generali

A Career with Point72's Trading Research Team WHAT YOU'LL DO Build and scale the research-to-trading platform that enables to support the design, testing, and deployment of quantitative strategies from prototype to production Design and implement high-performance analytics and pricing libraries in C++ and Python to support back testing, simulation, and real-time decision making Partner with investment professionals across the global business to translate ideas into robust, production-grade code and reproducible experiments Develop and maintain data pipelines and storage solutions that ingest, validate, and serve large historical and real-time market datasets Deploy, monitor, and operate production services, including automated testing, release processes, and incident response Drive performance and latency optimizations across code paths and infrastructure using profiling and benchmarking techniques Create tooling for experiment management, post-trade analysis, and model validation to measure strategy behavior and market impact Lead and contribute to the technical roadmap, increasing automation, resilience, and scalability of the research infrastructure Mentor junior developers, share best practices for software engineering, and promote a culture of continuous improvement and technical excellence WHAT'S REQUIRED Bachelor’s degree or higher in computer science, engineering, mathematics, physics, or a related quantitative discipline 3+ years of professional software engineering experience building production systems in a collaborative environment Strong proficiency in Python for data analysis and tooling and fluency in modern C++ for performance-sensitive components Practical experience building and querying relational databases or columnar data stores using SQL and hands-on experience with Linux development Proven experience designing and operating production services, including testing, deployment, and monitoring practices Demonstrated ability to profile, debug, and

We are looking for a Senior Associate/ Director in Trading Desk Operations to join our Trading Team. You will help on the operational side of the trading desk, supporting trading and funding operations and streamlining processes to support the growth of our Trading business. You will gain an in-depth understanding of the trade life cycle for the particular trading desk you will support. Responsibilities: Provide dedicated end-to-end trade support to assigned trading desks, perform trade bookings, trade verifications, balance and position reconciliations, P&L attributions Troubleshoot operational bottlenecks, delays, and other problems presented throughout the trade life cycle Using coding and AI tools, develop and enhance booking and reconciliation procedures Real-time monitoring and escalation on risk positions against internal thresholds and develop new monitoring tools for the desk Develop standardized templates and playbooks for new product onboarding (booking models, reconciliation rules, account setup) to reduce time-to-market Set up of new accounts and trading books, maintain data integrity and data mapping Perform funding operations and settlement checks, investigate and resolve fund transfer issues, liaising internally with Treasury or with external brokers Monitor funding usage, ROI and manage internal capital distribution records Assist in analysis of trading performance, P&L and risk attribution Assist promptly in adhoc/urgent requests from the trading desks relating to trade bookings or funding requests Engage with developers on projects that further enhance system infrastructure and controls Identify repetitive manual processes across the trade lifecycle and build automated solutions (scripts, macros, RPA) to reduce operati

We are looking for a Senior Associate/ Director in Trading Desk Operations to join our Trading Team. You will help on the operational side of the trading desk, supporting trading and funding operations and streamlining processes to support the growth of our Trading business. You will gain an in-depth understanding of the trade life cycle for the particular trading desk you will support. Responsibilities: Provide dedicated end-to-end trade support to assigned trading desks, perform trade bookings, trade verifications, balance and position reconciliations, P&L attributions Troubleshoot operational bottlenecks, delays, and other problems presented throughout the trade life cycle Using coding and AI tools, develop and enhance booking and reconciliation procedures Real-time monitoring and escalation on risk positions against internal thresholds and develop new monitoring tools for the desk Develop standardized templates and playbooks for new product onboarding (booking models, reconciliation rules, account setup) to reduce time-to-market Set up of new accounts and trading books, maintain data integrity and data mapping Perform funding operations and settlement checks, investigate and resolve fund transfer issues, liaising internally with Treasury or with external brokers Monitor funding usage, ROI and manage internal capital distribution records Assist in analysis of trading performance, P&L and risk attribution Assist promptly in adhoc/urgent requests from the trading desks relating to trade bookings or funding requests Engage with developers on projects that further enhance system infrastructure and controls Identify repetitive manual processes across the trade lifecycle and build automated solutions (scripts, macros, RPA) to reduce operati

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. As a Government and Public Affairs Intern , you will be responsible for providing support to Micron’s U.S. based Government & Public Affairs team, working on initiatives important to advancing Micron’s position as a world technology leader. You will conduct daily monitoring of political and policy developments, intelligence gathering, and analysis as issues emerge and evolve. This analysis will contribute to how the company understands, navigates, and shapes the policy & legislative systems in the United States at the federal level. You will ideally have knowledge or an interest in the areas of politics, technology, industrial policy and manufacturing, trade, foreign relations, and issues facing global companies. We seek a proactive problem-solver who excels in a fast-paced environment and is ready to dive in. This position will be based in Washington, D.C. Responsibilities include, but not limited to: Work closely with the Global Policy & Business Partnership team, as well as across the broader Government & Public Affairs team, on projects, events, and research to advance the team’s strategic objectives. Develop an understanding of Micron’s current and future potential issues and assess key policy, regulatory risks and opportunities. Conduct

About the Role Redwood is scaling public cloud infrastructure and AI features across multiple product lines, and we need a FinOps Lead to bring rigor, visibility, and accountability to that spend. This is a senior individual-contributor role with the authority to drive cross-functional cost governance directly. This role owns the translation of raw cloud cost data and AI spent into the models, forecasts, and governance mechanisms that let engineering, product, and executive leadership make informed decisions. This is not a bill-monitoring role. You will build the cost attribution infrastructure that ties cloud/AI spend to specific product lines and, ultimately, to ROI involving architecture and engineering teams to make the right trade offs and decisions in line with the strategic roadmap. The role will report to the Senior Director, Product Engineering Operations, and work closely with Cloud Engineering, the CPO's org, and engineering leadership to create cost visibility and defensibility informing leadership on efficiency strategies. Your ability to be an effective communicator, collaborative team player, and analytical thinker will be keys to success in this role. Responsibilities Cost Visibility, Attribution & Optimization Own and continuously improve cost models that attribute AWS (and other public cloud) spend by product line, team, and environment Drive tagging governance and hygiene, define standards, audit compliance, and close attribution gaps that prevent accurate cost-per-product reporting Build shared cost allocation models to drive transparency into per-team cost drivers where there are prevalent savings plans, reserved instances and network charges Build toward feature-level cost attribution that connects infrastructure spend to product ROI, not just aggregate bill totals Create and manage optimization programs with achievable savings targets, including working across engineering and finance to rightsize, clean up and modernize infrastructur

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Develop and automate methodologies to analyze and resolve supply shortages through data mining and planning system insights. Optimize silicon supply plans using industrial engineering tools to ensure inventory distribution across all designs based on Micron strategy. Review and influence demand signals to improve supply fill rates and address shortages. Implement and maintain Fab Device ID (DID) prioritization logic to guide demand and safety stock fulfillment across fabs. Support modeling of trade-off scenarios between Fab constraints to enable flexible capacity planning and minimize trade ratio losses. Integrate Fab stability logic into planning systems and validate related dashboards and KPIs (e.g., Tableau) for performance monitoring. Analyze demand, supply, and shipment trends using statistical tools to identify risks and opportunities to the business revenue plan. Evaluate key demand signals including customer backlogs and forecasts using rule-based and statistical demand analytics engines. Synthesize large volumes of quantitative and qualitative data into actionable insights for leadership and cross-functional teams. Evaluate inventory mix to identify slow-moving, orphaned, overstocked, or quality-hold inventories and collaborate with stakeholders on resolution strategies. Employer will accept a Master’s degree in Industrial Engineering, Operations Research, Supply Chain or a related field. Position requires: 1. Operations Research skills in one of the following: Linear Programming, Queuing Theory, Statistical Anal