Future Opportunities Channel Sales Experience Jobs

About the Team: A well-established quantitative portfolio management team at Point72 is looking for an experienced quantitative professional to develop and trade systematic macro strategies, with a focus on market microstructure. The candidate will be given the resources and support to drive the build out and expansion of the quantitative macro business. Role/Responsibilities: Perform rigorous and innovative research to develop systematic signals for global macro (futures, FX, etc.) markets, with a focus on market microstructure signals Perform feature engineering with order book tick data at intraday to daily horizons Perform feature combination using various modeling techniques ranging from linear to machine learning models Participate in the research pipeline end-to-end, including signal idea generation, data processing, modeling, strategy backtesting, and production implementation Help drive the growth of the investment process and research capabilities of the team Work in a team of highly qualified and motivated individuals with access to a cutting-edge research and trading infrastructure and clean datasets Assist in building, maintenance, and continual improvement of production and trading environments Requirements: MS or PhD in physics, engineering, statistics, applied math, quantitative finance, or other quantitative fields with a strong foundation in statistics 4+ years of experience in quantitative research, building statistical models for intraday to daily trading, as part of a successful proprietary trading team with a track record Knowledge of market microstructure for futures and/or FX Prior experience with tick data based feature generation, modelling, and monetization Demonstrated proficiency in Python, R, or C/C++. Familiarly with data science toolkits, such as scikit-learn, Pandas Collaborative mindset with strong independent research abilities Commitment to the highest ethical standards

Role We are looking for an experienced Macro Quant Researcher to join our team in Taipei. Responsibilities Develop macro-focused systematic trading strategies in liquid secondary markets. Conduct research to identify data-driven signals and market inefficiencies. Collaborate with team members on research and development initiatives. Requirements B.S., M.S., or Ph.D. degree in economics, finance, computer science, physics, or other quantitative discipline. 2+ years of experience in quantitative research or systematic trading at a bank, hedge fund, or asset manager. Experience with systematic trading strategies for any secondary market product (e.g., Taiwan index futures, BTC, etc.) using tools beyond Excel or MultiCharts. Proficiency in Python or C++ and familiarity with database query languages (SQL or NoSQL). Demonstrable ability to conduct independent research utilizing large datasets. Detail-oriented, willingness to take ownership of his/her work, and ability to work both independently and within a small team. Commitment to the highest ethical standards.

About Cubist: Cubist Systematic Strategies is one of the world’s premier investment firms. The firm deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures, and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources. About our Team: KEPL is a fast-growing team at Cubist Systematic Strategies. We are specialized in medium-frequency statistical arbitrage strategies with high Sharpe. The team is made up of people from top universities and top tier trading and tech firms, including: D.E. Shaw, Two Sigma, Citadel, Meta, Google, etc. We have an open and collaborative culture, and we value rigorous research and innovative technologies. Please send CVs to [email protected] with “2026 KEPL DE Application” in the subject line. Role: We are looking for a quantitative software developer to join our team and contribute to multiple initiatives that aim to expand our business. The candidate should be passionate about financial market, data and technology. In this team, the candidate will gain full-stack exposure and build expertise in multiple aspects of quantitative trading. Responsibilities: Improve data ETL pipeline and build tools to analyze new data efficiently. Build technologies to bolster research & trading efficiency. Expand to new markets and asset classes. Manage day-to-day operations in a fast-paced environment. Requirements Master/PhD degree in math, computer science, engineering, or other related fields. 1-3 years of professional experience in software development or data science/analytics. Strong combination of quantitative skills and programming skills. Proficiency in Python; knowledge of common data analytics tools (e.g., SQL, pandas) is a plus. Familiarity with the Linux environment. Excellent written and verbal communication skills. Willin

ABOUT CUBIST Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources. ROLE The candidate will be responsible for some or all of parts of the research pipeline—including data processing, feature design, model training, portfolio construction and management, back-testing, and performance analysis. Successful researchers combine statistical analysis, machine learning techniques, intense passion, and curiosity to decipher the market, and aspire to gain great intellectual understanding and financial outperformance. RESPONSIBILITIES Finding alphas in global equity markets by applying rigorous statistical analysis on technical data or alternative data sets. Performing hypotheses testing, feature design, and backtesting to improve on alpha ideas. Maintaining and improving the research pipeline, including alpha generation, portfolio construction, back-testing, and monetization. Maintaining and improving portfolio trading in production environments. REQUIREMENTS Bachelors degree or higher in mathematics, statistics, computer science, or other quantitative discipline. 2+ years of experience in quantitative research. Experience in medium frequency equity research is a plus. Strong analytical and quantitative skills; solid knowledge in statistics, linear algebra, or machine learning. Proficiency in Python. Familiarity with scientific toolkits, such as Numpy and Pandas. Ability to work both independently and collaboratively within a team. Commitment to the highest ethical standards.

About Cubist: Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources. About our Team: KEPL is a fast-growing team at Cubist Systematic Strategies. We are specialized in medium-frequency statistical arbitrage strategies with high Sharpe. The team is made up of people from top universities and top tier trading and tech firms, including: D.E. Shaw, Two Sigma, Citadel, Meta, Google, etc. We have an open and collaborative culture, and we value rigorous research and innovative technologies. Please send CVs to [email protected] with “2026 KEPL QD Application” in the subject line. Role: We are looking for a quantitative software developer to join our team and contribute to multiple initiatives that aim to expand our business. The candidate should be passionate about financial market, data and technology. In this team, the candidate will gain full-stack exposure and build expertise in multiple aspects of quantitative trading. Responsibilities: Improve data ETL pipeline and build tools to analyze new data efficiently. Build technologies to bolster research & trading efficiency. Expand to new markets and asset classes. Manage day-to-day operations in a fast-paced environment. Requirements Master/PhD degree in math, computer science, engineering, or other related fields. 1-3 years of professional experience in software development or data science/analytics. Strong combination of quantitative skills and programming skills. Proficiency in Python; knowledge of common data analytics tools (e.g., SQL, pandas) is a plus. Familiarity with the Linux environment. Excellent written and verbal communication skills. Willing to work in a fast-paced start-

About the Team: A well-established quantitative portfolio management team at Point72 is looking for an experienced quantitative professional in the intraday to mid frequency systematic macro space. The candidate will be given the resources and support to drive the build out and expansion of the quantitative macro business. Role: Perform rigorous and innovative research to develop systematic signals for global macro (futures, FX, etc.) markets Work with price-volume and alternative data at intraday to multiday (up to 2-3 weeks) horizons in the mid-frequency space Participate in the research pipeline end-to-end, including signal idea generation, data processing, modeling, strategy backtesting, and production implementation Work in a team of highly qualified and motivated individuals with access to a cutting-edge research and trading infrastructure and clean datasets Responsibilities: Develop systematic trading models across global futures (equity indices, commodities and fixed income) and/or FX markets Alpha idea generation, backtesting, and implementation Evaluate new datasets for alpha potential Contribute to and enhance portfolio optimization, allocation and risk management processes Help drive the growth of the investment process and research capabilities of the team Assist in building, maintenance, and continual improvement of production and trading environments Requirements: MS or PhD in physics, engineering, statistics, applied math, quantitative finance, or other quantitative fields with a strong foundation in statistics 4+ years of signal research or portfolio management experience in futures markets and/or FX as part of a successful proprietary trading team with a track record Prior professional experience with signal combination, portfolio optimization and risk management Demonstrated proficiency in Python, R, or C/C++. Familiarly with data science toolkits, such as scikit-learn, Pandas Collaborative mindset with strong independent research abilities Commit

A Career with Point72's Regulatory Reporting Team Point72's Regulatory Reporting department's global mandate is to provide governance across all regulatory filings and obligations for the firm, including but not limited to ensuring completeness of the global inventory of filings, instituting process and workflow controls, facilitating the creation of policies and procedures, and providing process measurement reporting. The department is responsible for preparing reports, generating and coordinating responses for larger cross-departmental filings, managing external vendor relationships, oversight of Technology supporting regulatory filings, evaluating automation options, and administering data standards. The various regulators include but are not limited to the Securities and Exchange Commission (SEC), Commodities Futures Trading Commission (CFTC), National Futures Association (NFA), Federal Reserve/Treasury, Securities and Futures Commission (SFC), Kanto Finance Bureau (KFB), Financial Conduct Authority (FCA), and Monetary Authority of Singapore (MAS). What you'll do Support the preparation and review of filing responses for various regulators (e.g., SEC, NFA, FCA, MAS) Execute MiFID II transaction reporting obligations, including monitoring, validation, and remediation of reporting issues across relevant asset classes Gather requirements, perform functional and data analysis, and contribute to the development of functional and technical specifications for regulatory reporting processes Partner with business teams to clearly document requirements and workflows for regulations Contribute to the maintenance and improvement of the team's controls framework Conduct class action lawsuit analysis as required Respond to Compliance inquiries and regulatory data requests with timely, data-backed analysis Conduct position and transaction monitoring checks to ensure reporting accuracy Utilize data analytical and automation tools to detect anomalies in reporting data and improv

ROLE We are passionate about data. We collaborate to build elegant, effective, scalable and highly reliable solutions to empower predictive modelling in finance. Cubist’s Data Services (CDS) group is looking for a Data Scientist to join our dedicated data team. Our group is responsible for the timely delivery of comprehensive and error-free data to some of the most demanding and successful systematic Portfolio Managers in the world. As a Senior Data Scientist in the team, this individual will play a vital role in ensuring the smooth day-to-day implementation of a large research infrastructure, and the live production trading of billions of dollars of capital across global capital markets, including equities, futures, options and other financial instruments. RESPONSIBILITIES Onboarding novel datasets from a huge variety of sources into our platform Building processes, tools and frameworks to ingest, clean and deliver datasets Analysis of data for usability, cleanliness, feature extraction and proposed usage by investment teams Creation of in-house, value added, derived data products for consumption by investment teams Engaging with vendors and internal stakeholders to understand characteristics of datasets Partnering closely with investment teams to ensure their data requirements are met Research on new technologies (including AI solutions) to continuously improve data management and value-add for investment teams REQUIREMENTS PhD or Masters in Financial Engineering, Statistics, Computer Science or other disciplines involving rigorous quantitative analysis Strong programming skills in Python and SQL Experience working with AWS, Linux and Airflow preferred but not required 5+ years of experience as a Data Scientist or similar role Experience working with large data sets including predictive modeling Financial industry experience preferred but not required Strong organization, communication and interpersonal skills Intellectua

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

Quantitative Researchers are responsible for independently conducting quantitative financial research with a focus on statistical and predictive models. About Cubist Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources. Role Quantitative Researchers are responsible for independently conducting quantitative financial research with a focus on statistical and predictive models. Successful researchers manage all aspects of the research process including methodology selection, data collection and analysis, testing, prototyping, backtesting, and performance monitoring. Desirable Candidates M.S., Ph.D., or Ph.D. candidates in finance, computer science, mathematics, physics, or other quantitative discipline. Programming in any of the following: C++, C#, Java, or Python. Strong analytical and quantitative skills. Keen interest in quantitative research and metrics driven decision making. Demonstrated ability to conduct independent research utilizing large data sets. Detail-oriented. Passion for spotting trends in data. Willingness to take ownership of his/her work, working both independently and within a small team. Ability to work under pressure. Prior experience developing, researching, or implementing quantitative models for equities is preferred, but not required. We will provide training for new researchers without finance backgrounds.

ROLE We are passionate about data. We collaborate to build elegant, effective, scalable and highly reliable solutions to empower predictive modelling in finance. Cubist’s Data Services (CDS) group is looking for a Data Scientist to join our dedicated data team. Our group is responsible for the timely delivery of comprehensive and error-free data to some of the most demanding and successful systematic Portfolio Managers in the world. As a Data Scientist in the team, this individual will play a vital role in ensuring the smooth day-to-day implementation of a large research infrastructure, and the live production trading of billions of dollars of capital across global capital markets, including equities, futures, options and other financial instruments. RESPONSIBILITIES Onboarding novel datasets from a huge variety of sources into our platform Develop, test and deploy data pipelines, applications and services Re-shaping, aggregating, enhancing and creating features from datasets Engaging with vendors and internal stakeholders to understand characteristics of datasets Defining and automating qualitative data alerts and reports Partnering closely with investment teams to ensure their data requirements are met Perform preliminary analysis and research to be shared with investment teams REQUIREMENTS Masters in Financial Engineering, Statistics, Computer Science or other disciplines involving rigorous quantitative analysis Strong programming skills in Python and SQL Experience working with AWS, Linux and Airflow preferred but not required Financial industry experience preferred but not required Strong organization, communication and interpersonal skills Attention to detail and a love of processes Strong oral and written communication skills Ability to exercise sound judgment in assessing and determining how to handle queries, calls and issues Ability to multitask and prioritize assignments Commitment to the highest ethica

The role sits within the Markets COO organisation. We are a dynamic, global and diverse organization focused on controls and regulatory management for Markets Operations, which has a presence in over 60 Countries; covering all post execution Operations teams including product aligned Middle Office groups, Settlements, Margin, Asset Servicing, Listed Derivative & Commodities Operations. We support an extensive range of Capital Markets products and services including Fixed Income (FX, Rates, Credit, Muni, Cash and Derivatives) where Citi is consistently a dominant top 3 player in the market, Equity (Cash, Derivatives, Prime Brokerage, Futures, Listed Derivs, FXPB) where Citi has a significant growth program to continue to build out its capabilities and services; and Syndicates where we support both FI and EQ new issues and IPOs. Our Operations groups are core to the success of the Markets business and have a significant impact across the lifecycle of a Trade. We partner extensively with a range of internal stakeholders including Front Office Sales and Trading Desks, Compliance, Legal, Finance and HR; alongside having significant interaction with our external client base, playing a key role in the overall client expe

About Cubist: Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources. About the team: The team is focused on systematic equity trading. It is established, yet still pre-trade, offering an exciting opportunity to join at an early stage and be involved in a broad range of development areas. The team members come from a mixture of quant analyst and development backgrounds, using the combination of skills to achieve a common goal. All team members are based in the London office five days a week to maximize communication and interaction. Role and Responsibilities: An ideal growth role to suit a developer looking for additional responsibilities and independence. Responsibilities may include: • Building components for all aspects of live trading and research environments. • Driving automation and robustness of our processes. • Developing robust data checking and handling procedures. • Monitoring and troubleshooting any issues that should arise. • Shared responsibility for timely and correct operation of trading systems. Requirements: • Bachelor’s degree or equivalent in computer science or other STEM discipline • 2+ years commercial experience with Python and its data science libraries on Linux. • Pragmatic balance between attention to detail and delivery focus. • Ability to work with ambiguous requirements. • Self-driven, owning problems while knowing when to seek advice. • Knowledge of finance and trading systems a plus. • Experience with a systems programming language (

ABOUT CUBIST Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources. ROLE Entry-Level Quantitative Researchers are responsible for conducting rigorous quantitative research with a focus on predictive models. You will be trained in all aspects of systematic trading from idea generation all the way to practical trading considerations. Successful hires will ultimately become thought leaders within our collaborative research group. RESPONSIBILITIES Conduct original quantitative alpha signal research Follow, digest and analyze the latest academic research Manage all aspects of the research process, including idea generation, data analysis, hypothesis development and testing, alpha discovery, trading strategy generation, backtesting and portfolio analysis Build analytical tools to supplement our shared research framework REQUIRMENTS B.S., M.S. or PhD in finance, economics, mathematics, statistics, data science, computer science, or other quantitative discipline. Programming in Python (or comparable language) and working knowledge of SQL Strong analytical and quantitative skills. Willingness to take ownership of his/her work. Ability to work both independently and collaboratively within a team. Strong desire to deliver high quality results in a timely fashion. Detail-oriented. Prior experience in the financial services industry is not required. A commitment to the highest ethical standards.

Become a part of our caring community The Telephonic Quality Outreach Professional supports the EPSDT program requirements in a telephonic outreach environment by evaluating member needs and helping families achieve or maintain an optimal state of wellness. The Telephonic Outreach Care Coach Professional 1 performs basic administrative/clerical/operational/customer support/computational tasks. Typically work on straightforward moderate complexity assignments that are routine and structured in nature. The Telephonic Quality Outreach Professional employs a variety of strategies and techniques to coordinate services and resources that facilitate HEDIS gap closure and improve pediatric health outcomes. The supervisor limits decisions to defined parameters around work expectations, quality standards, priorities and timing, and supervises closely and/or works within established policies/practices and guidelines with minimal opportunity for deviation. Position Responsibilities: Telephonic outreach to close HEDIS gaps for Medicaid pediatric population Assist members in addressing barriers to care, including scheduling challenges and transportation needs, to support access to primary care and overall well-being Collaborate with EPSDT Senior Quality Improvement Professional and Coordinator related to strategic outreach to maximize HEDIS outcomes Collaborate with other departments Provide vaccine awareness and education following Bright Futures and EPSDT preventive health guidelines Empower member independence through education and outreach that promote ongoing self-sufficiency in managing preventive and primary care needs Other responsibilities as assigned Use your skills to make an impact Required Qualifications Unrestricted Licensed Practical Nurse (LPN) in