Derivatives Compliance Manager Jobs

About BlockTech BlockTech is an algorithmic trading firm operating at the frontier of global crypto derivatives and spot markets. We trade 24/7 across some of the fastest-moving, most data-rich venues in finance. Crypto remains one of the few markets where a researcher can still meaningfully move the edge: abundant data, novel microstructure, and the shortest possible loop between a research idea and live PnL. We're looking for an experienced Quantitative Researcher to take ownership of that edge and push it further. The role This is a senior, hands-on research seat on our trading floor. You'll own a research agenda end-to-end from hypothesis, dataset construction, feature engineering, model training, backtesting, live deployment, monitoring, and iteration. You'll be trusted to set its direction. You'll work shoulder-to-shoulder with fellow researchers, traders and analysts, shape how we price and trade, and help raise the bar for research across the floor, including mentoring less experienced researchers and influencing the tools and standards the team relies on. You will: Own price-prediction, signal, execution, and anomaly-detection models across crypto derivatives and spot markets from idea to live PnL Shape our research, backtesting, and trading infrastructure together with engineers, so good ideas reach production quickly and safely Own models in production: monitor live performance, diagnose decay, and iterate on what you ship Set research direction alongside traders, deciding which trades are worth making and why Raise the research bar by mentoring colleagues, reviewing work, and setting standards for rigour What we're looking for 4+ years of hands-on quantitative research and/or applied ML experience, with a track record of models you've taken into production trading live A strong academic foundation in a quantitative discipline (mathematics, physics, statistics, computer science, ML/AI, or similar) Fluency in Python and the modern ML stack (PyTorch and/or

About BlockTech BlockTech is an algorithmic trading firm operating at the frontier of global crypto derivatives and spot markets. We trade 24/7 across some of the fastest-moving, most data-rich venues in finance. Crypto remains one of the few markets where a researcher can still meaningfully move the edge: abundant data, novel microstructure, and the shortest possible loop between a research idea and live PnL. We're looking for an experienced Quantitative Researcher to take ownership of that edge and push it further. The role This is a senior, hands-on research seat on our trading floor. You'll own a research agenda end-to-end from hypothesis, dataset construction, feature engineering, model training, backtesting, live deployment, monitoring, and iteration. You'll be trusted to set its direction. You'll work shoulder-to-shoulder with fellow researchers, traders and analysts, shape how we price and trade, and help raise the bar for research across the floor, including mentoring less experienced researchers and influencing the tools and standards the team relies on. What you'll do Own price-prediction, signal, execution, and anomaly-detection models across crypto derivatives and spot markets from idea to live PnL using state-of-the-art ML Shape our research, backtesting, and trading infrastructure together with engineers, so good ideas reach production quickly and safely Own models in production: monitor live performance, diagnose decay, and iterate on what you ship Set research direction alongside traders, deciding which trades are worth making and why Raise the research bar by mentoring colleagues, reviewing work, and setting standards for rigour What we're looking for 4+ years of hands-on quantitative research and/or applied ML experience, with a track record of models you've taken into production trading live A strong academic foundation in a quantitative discipline (mathematics, physics, statistics, computer science, ML/AI, or similar) Fluency in Python and the m

Role Quantitative Researcher for a new team focused on systematic corporate bond and credit derivatives strategies. Responsibilities Independently conduct quantitative research, adopting a rigorous approach and using statistical and structural models Contribute to all aspects of the research and production process, including implementation of fitting tools; data organization; generation of alphas, risk and TC models; P&L attribution, etc. Proactively search for and prioritize new ideas and datasets for alpha potential Contribute to continuous improvement of the investment process and infrastructure in collaboration with the portfolio managers, developers and traders on the team Requirements PhD or Master’s degree in Economics, Finance, Statistics, Mathematics, Physics, or other quantitative discipline 2+ years of experience developing statistical and fundamental alpha signals, risk factors for single name credit, equities, or options. Demonstrated ability to conduct research utilizing large data sets Experience with FICC, credit or option pricing models is preferred Experience with numerical optimization methods is a plus Solid programming skills: understanding of the object-oriented programming and CI/CD framework. Proficiency in Python, including with packages used for data research, best practices of coding style, etc. ­ Strong communication skills Willingness to take ownership of his/her work, working both independently and within a team The annual base salary range for this role is $150,000-$200,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.

About BlockTech BlockTech is a fast-paced algorithmic market maker at the frontier of global cryptocurrency derivatives and spot markets, expanding into new markets. We employ algorithms to trade our own capital, 24/7, across some of the most data-rich venues in finance. Crypto is one of the few markets where a researcher can still meaningfully move the edge. The data is abundant, the microstructure is novel, and the feedback loop between a research idea and live PnL could not be shorter. For the Summer of 2027, we're looking for a Quantitative Research Intern to join our Delta One team in Singapore. The role This is a 12-week summer internship at our Singapore office, giving you a unique opportunity to work on an end-to-end project with a real and direct business impact. You'll work in a small team and get the chance to understand how a trading firm actually works from the inside. Delta One is where we trade linear products: (perpetual) futures and spot. These are fast-moving, data-rich markets and a good place to see a research idea meet reality quickly. You will: Participate in a customized training program that will give you an understanding of financial markets in general, the company, and the project. Own a research project from design to deployment, guided by experienced Quantitative Researchers. Work with linear products and the data around them Understand how technology and research enable our trading, market data, and infrastructure systems. Collaborate with fellow quantitative researchers and software engineers to bring your project to success. Learn from the best, using technology built for speed and precision. What we're looking for Currently in your (pen)ultimate year studying a quantitative field at a top university in Singapore Available full-time in Singapore for a duration of 12 weeks over the summer of 2027, starting on the 10th of May Working knowledge of Python Comfort with probability, statistics, and working with messy real-world data A critic

About BlockTech BlockTech is a fast-paced algorithmic trading firm at the frontier of global cryptocurrency derivatives and spot markets. We trade 24/7 across some of the most data-rich, fast-moving venues in finance, and we use that data to build smarter models, sharper signals, and more adaptive systems. Crypto is one of the few markets where a researcher can still meaningfully move the edge. The data is abundant, the microstructure is novel, and the feedback loop between a research idea and live PnL couldn’t be shorter. We’re growing fast, and we’re looking for a Quantitative Researcher with a strong machine learning toolkit to help us push that edge further. The role As a Quantitative Researcher on our trading floor, you’ll own ideas end-to-end from hypothesis and dataset construction through feature engineering, model training and backtesting, all the way to live deployment, monitoring, and iterative improvement. You’ll sit shoulder-to-shoulder with Quantitative Traders and Quantitative Analysts, and your work will directly drive how we price and trade. What you’ll work on Collaborating closely with traders to translate research insights into systematic trading strategies Designing, developing and deploying models for price prediction, signal generation, execution, and anomaly detection across crypto derivatives and spot markets using state-of-the-art AI and ML techniques. Building robust trading, backtesting and research infrastructure alongside our engineers, so promising ideas can move into production quickly and safely Owning models in production: monitoring live performance, diagnosing decay, and iterating on what you ship What we’re looking for A strong academic background in a quantitative discipline (Mathematics, Physics, Statistics, Computer Science, Econometrics, ML/AI, or similar), typically a PhD or an MSc with strong research experience Fluency in Python and the modern ML stack (PyTorch and/or TensorFlow, scikit-learn, NumPy, pandas) A deep, intuit

About BlockTech BlockTech is a fast-paced algorithmic trading firm at the frontier of global cryptocurrency derivatives and spot markets. We trade 24/7 across some of the most data-rich, fast-moving venues in finance, and we use that data to build smarter models, sharper signals, and more adaptive systems. Crypto is one of the few markets where a researcher can still meaningfully move the edge. The data is abundant, the microstructure is novel, and the feedback loop between a research idea and live PnL couldn’t be shorter. We’re growing fast, and we’re looking for a Quantitative Researcher with a strong machine learning toolkit to help us push that edge further. The role As a Quantitative Researcher on our trading floor, you’ll own ideas end-to-end from hypothesis and dataset construction through feature engineering, model training and backtesting, all the way to live deployment, monitoring, and iterative improvement. You’ll sit shoulder-to-shoulder with Quantitative Traders and Quantitative Analysts, and your work will directly drive how we price and trade. You will: Collaborate closely with traders to translate research insights into systematic trading strategies Design, develop and deploy models for price prediction, signal generation, execution, and anomaly detection across crypto derivatives and spot markets using state-of-the-art AI and ML techniques. Build robust trading, backtesting and research infrastructure alongside our engineers, so promising ideas can move into production quickly and safely Own models in production: monitoring live performance, diagnosing decay, and iterating on what you ship What we're looking for A strong academic background in a quantitative discipline (Mathematics, Physics, Statistics, Computer Science, Econometrics, ML/AI, or similar), typically a PhD or an MSc with strong research experience Fluency in Python and the modern ML stack (PyTorch and/or TensorFlow, scikit-learn, NumPy, pandas) A deep, intuitive grasp of overfitting, g

About BlockTech BlockTech is a fast-paced algorithmic trading firm at the frontier of global cryptocurrency derivatives and spot markets. We trade 24/7 across some of the most data-rich, fast-moving venues in finance, and we use that data to build smarter models, sharper signals, and more adaptive systems. Crypto is one of the few markets where a researcher can still meaningfully move the edge. The data is abundant, the microstructure is novel, and the feedback loop between a research idea and live PnL couldn’t be shorter. We’re growing fast, and we’re looking for a Quantitative Researcher with a strong machine learning toolkit to help us push that edge further. The role As a Quantitative Researcher on our trading floor, you’ll own ideas end-to-end from hypothesis and dataset construction through feature engineering, model training and backtesting, all the way to live deployment, monitoring, and iterative improvement. You’ll sit shoulder-to-shoulder with Quantitative Traders and Quantitative Analysts, and your work will directly drive how we price and trade. You will: Collaborate closely with traders to translate research insights into systematic trading strategies Design, develop and deploy models for price prediction, signal generation, execution, and anomaly detection across crypto derivatives and spot markets using state-of-the-art AI and ML techniques. Build robust trading, backtesting and research infrastructure alongside our engineers, so promising ideas can move into production quickly and safely Own models in production: monitoring live performance, diagnosing decay, and iterating on what you ship What we're looking for A strong academic background in a quantitative discipline (Mathematics, Physics, Statistics, Computer Science, Econometrics, ML/AI, or similar), typically a PhD or an MSc with strong research experience Fluency in Python and the modern ML stack (PyTorch and/or TensorFlow, scikit-learn, NumPy, pandas) A deep, intuitive grasp of overfitting, g

About BlockTech BlockTech is a fast-paced algorithmic trading firm at the frontier of global cryptocurrency derivatives and spot markets. We trade 24/7 across some of the most data-rich, fast-moving venues in finance, and we use that data to build smarter models, sharper signals, and more adaptive systems. Crypto is one of the few markets where a researcher can still meaningfully move the edge. The data is abundant, the microstructure is novel, and the feedback loop between a research idea and live PnL couldn’t be shorter. We’re growing fast, and we’re looking for a Quantitative Researcher with a strong machine learning toolkit to help us push that edge further. The role As a Quantitative Researcher on our trading floor, you’ll own ideas end-to-end from hypothesis and dataset construction through feature engineering, model training and backtesting, all the way to live deployment, monitoring, and iterative improvement. You’ll sit shoulder-to-shoulder with Quantitative Traders and Quantitative Analysts, and your work will directly drive how we price and trade. What you’ll work on Collaborating closely with traders to translate research insights into systematic trading strategies Designing, developing and deploying models for price prediction, signal generation, execution, and anomaly detection across crypto derivatives and spot markets using state-of-the-art AI and ML techniques. Building robust trading, backtesting and research infrastructure alongside our engineers, so promising ideas can move into production quickly and safely Owning models in production: monitoring live performance, diagnosing decay, and iterating on what you ship What we’re looking for A strong academic background in a quantitative discipline (Mathematics, Physics, Statistics, Computer Science, Econometrics, ML/AI, or similar), typically a PhD or an MSc with strong research experience Fluency in Python and the modern ML stack (PyTorch and/or TensorFlow, scikit-learn, NumPy, pandas) A deep, intuit

Summary We are seeking a highly motivated and detail-oriented Trader/Quant Analyst with a strong background in trading and data analysis to join our investment team. The ideal candidate will have at least 3 years of experience in convertible securities (or equity/FX/rates derivatives), relative value trading strategies, and quant data analysis. The role will combine active trading and risk management and quantitative analysis to identify and execute profitable opportunities in the convertible space. Role/Responsibilities: Identify relative value opportunities between convertible bonds, the underlying equity, and credit derivatives. Execute trades in convertible securities, related equities, and hedges in alignment with investment theses and risk parameters. Manage existing positions proactively, assessing changes in valuation, liquidity, and market sentiment. Conduct in-depth quant data analysis on the convertible bond universe, including historical pricing and valuation. Model and evaluate convertible securities across multiple scenarios, analyzing risks related to credit, interest rates, volatility, and equity sensitivity. Build front-office tools to analyze convert universe data for idea generation, trade optimization, and risk management. Coordinate with the portfolio manager and risk team to size positions appropriately and adhere to pre-defined risk limits. Track and analyze P&L drivers on a daily basis and provide attribution reports. Hedge exposures dynamically using equity, credit, and derivative instruments. Work closely with other analysts, traders, and portfolio managers across strategies to share insights and generate synergies. Maintain strong relationships with sell-side counterparties and market participants to source information and enhance trade execution. Requirements : Bachelor’s degree in finance, economics, mathematics, engineering, or related field; advanced degree or CFA preferred. 3+ years of experience in convertible bond trading with a

Horizon Trading Solutions is an independent global technology company focused on electronic trading, supporting agency and principal business activities across equities and derivatives. For over 20 years, we have equipped leading capital market participants with algorithmic trading technology and direct connectivity to more than 80 exchanges worldwide. We are currently looking for an Account Manager EMEA to strengthen to drive sustainable revenue growth and increase the value of Horizon’s existing client accounts by developing structured account plans, identifying upsell and cross-sell opportunities, securing renewals and strengthening relationships with key decision-makers. The Account Manager acts as the commercial owner of each account and coordinates internal teams to turn client knowledge into profitable growth. Key Responsibilities 1. Grow the Existing Client Portfolio Develop and manage an account plan for each priority account, covering growth potential, stakeholder mapping, key challenges, competition, opportunities and actions. Identify, qualify and convert upsell, cross-sell, geographic expansion and functional expansion opportunities. Build a reliable, documented expansion pipeline and keep it regularly updated in the CRM. Prepare business cases and commercial proposals, and lead negotiations and contracting through to closing. 2. Secure Retention and Renewals Anticipate renewals and churn risks, with a retention plan shared with the relevant teams. Monitor product usage, client satisfaction, value delivered and commercial pain points across the portfolio. Lead account reviews and executive business reviews, providing actionable recommendations. 3. Build Executive Relationships Build lasting relationships with sponsors and decision-makers across business, IT, trading, operations and procurement. Understand each client’s strategy, organisation and priorities in order to develop new use cases. Represent the voice of the client internally whil

A Career with Point72's Operations Team Point72’s Operations team supports all operational aspects of trade processing, reconciliation, financing, and reporting firmwide for all products, including equities, derivatives, bonds, foreign exchange and futures, and digital assets across global markets. WHAT YOU'LL DO Lead end-to-end trade lifecycle management across global markets for a wide range of products including equities, options, FX, CFDs, swaps, fixed income, repos, and futures, ensuring timely and accurate trade capture, confirmation, and settlement. Reconcile daily positions and cash across multiple counterparties, prime brokers, and custodians; investigate and resolve trade breaks and settlement exceptions to minimize settlement and operational risk. Partner with traders, portfolio managers, clearing brokers, and internal teams to resolve trade lifecycle issues, acting as a trusted operational liaison Manage the end-to-end processing of mandatory and voluntary corporate actions, determining position impact and executing necessary elections or adjustments. Build and implement automation and workflow improvements by identifying process inefficiencies, designing solutions, and partnering with technology to implement and scale changes globally. Execute and monitor FX transactions to manage foreign currency exposure that affects PnL and settlement flows. Maintain and update security master and reference data during Asian and European trading hours to support seamless post-trade processing across global trading activities. Produce and distribute daily exception reports, reconciliations, and operational metrics to senior internal stakeholders and external counterparties, highlighting trends and resolution status. Drive cross-functional projects to enhance settlement efficiency, confirmation workflows, and operational risk monitoring. Create and maintain process documentation, and contribute to continuous learning and improvement within the team. WHAT'S REQUIRED Bac

About BlockTech BlockTech is a fast-paced algorithmic trading firm. Specializing in crypto options, we facilitate global cryptocurrency derivatives and spot trading, while expanding into new markets. As we continue to grow rapidly, we are looking for a Senior Software Engineer to take technical ownership of the data infrastructure our trading and technology teams are built on. Every decision at BlockTech starts with data: exchange feeds, our own trade and account events, and the history we query to make sense of both. The Foundation team owns the systems that move, aggregate, and store all of it. We run our own Kafka, NATS, PostgreSQL, ClickHouse, and Iceberg, self-hosted and tuned by us. We work primarily in Rust, with Python and SQL alongside. This is a role for an engineer who has already built and operated data infrastructure at scale, and who wants their technical decisions to set direction rather than follow it. What will you do? You will own the pipelines and stores every other team depends on. When a researcher backtests a strategy, when a trader checks a position, when risk queries yesterday, they are all reading data your systems ingested, routed, and kept correct. As a senior engineer, you will also set the technical standards the rest of the team builds against. You will: Own the ingest path. Collect public and private exchange information and internal trading data with minimal latency impact, and land it in our trading systems in real time. Architect the streaming layer. Design and operate our Kafka and NATS messaging systems for the throughput and delivery guarantees our critical flows depend on. Build the storage layer. Develop real-time aggregation and long-term storage across PostgreSQL, ClickHouse, and Iceberg, and make the structural calls that keep queries fast as volumes grow. Run what you build. Own capacity, retention, schema evolution, and failure behavior for infrastructure we host ourselves, with no managed service to hide behind. Make the

Trading Application Support Specialist – Dubai – w/m Horizon Trading Solutions is an independent global technology company focused on electronic trading, supporting agency and principal business goals across equities and derivatives. For over 20 years we’ve equipped the most progressive global capital market players with powerful algorithmic technology and direct connectivity to more than 80 exchanges worldwide. Our single multi-asset platform and our unfaltering commitment to client partnership allow us to promise Performance Simplified: making it easy to be the best in trading. We are currently looking for a Trading Application Support Specialist (W/M), based in Dubai for a Full Time Position and Permanent Contract, to successfully ensure the deployment of our solutions to our clients (brokers, investment banks, stock exchanges...) and be their primary point of contact for technical support. If you join us, you will: Issue Analysis and Resolution: Analyse and troubleshoot issues or incidents, aiding customers in resolving issues, explaining usage, debugging failures, pinpointing problems, implementing workarounds, enhancing performance, improving security, and determining root causes. Define the severity and area of each issue, ensuring accurate classification and prioritization. Resolve tickets according to the required knowledge, adhering to the proper process, and escalate when necessary for timely resolution. Customer Communication and Support: Serve as the primary point of contact for customers, addressing their requests through resolution or escalation. Keep customers updated on the progress of their ticket resolution, providing clear communication regarding steps and timing. Write comprehensive documentation on current issues for customers to enhance their knowledge and understanding (KDB). Deployment and Training: Deploy products at customer sites, ensuring seamless integration and functionality. Provide training sessions to clients, i

Job Description We are looking to hire an experienced strategist to join Citi Equity Trading Strategy (CETS) team in New York with a focus on thematic investing. The team is responsible for providing market commentary on the global equity markets, including tactical market analysis. CETS combines macro, equity and derivatives viewpoints to make directional and relative value trading calls alongside medium-term thematic views. The candidate will be a key contributor to, and communicator of, views to Citi’s trading platform, institutional clients and the Citi Private Bank. Additionally, the US CETS Strategist will partner with the US and global CETS and research teams. Key Responsibilities: Contribute to building and executing a fundamentally based framework for thematic investment. Primarily for custom baskets, but also including sectors, ETFs and related products Coverage of US equity market, including top-down analysis of valuation, earnings, options markets, sector recommendations and trade ideas Thought leadership for US equity trading & sales Generate formal client recognition for Citi’s US equity strategy product via client votes and external poll rankings <span style="color

Chicago Trading Company (CTC) is a premier proprietary trading firm specializing in options market making. Our collaborative culture fuels innovation in quantitative research, systematic trading strategies, and cutting-edge trading technology. For over three decades CTC has provided critical liquidity across derivatives exchanges worldwide - making them fairer, more transparent, and more efficient. We strive to be the most innovative firm in the industry today, tomorrow, and long into the future while upholding ethical excellence. We believe that CTC makes a positive impact on the markets, the lives of our employees, and all the communities to which we belong. Started in 1995 by a team of forward-thinking Traders, we are proud to call ourselves an industry leader that keeps making markets and each other better. The Role As a Quant Trading (QT) Intern, you will be challenged to learn and adapt in an exciting team environment and will play a substantial role in our day-to-day trading and quant-related activities. Your impact is immediate and meaningful. You will become a member of a team for the summer and play a vital role completing project work and/or identifying trading opportunities and communicating with software engineers, quants, traders, and risk managers throughout the trading day. As part of the Summer Associate cohort, you will learn and socialize alongside other QT Interns and Software Engineering (SE) Interns. What to Expect The 8-week internship program gives you insight into our culture and an inward look into what our business is all about. You will participate in three classroom learning experiences including: a week-long Basics of Options class, a multi-week class on the fundamentals of market making (Mock Trading), and a multi-week class that introduces elements of our quant framework (Quant Curriculum). You will also attend planned social activities and talks from various business leaders to propel your professional growth, and