Point72 Asset Management, L.P. has an opening for an IAC Researcher in New York, New York. Conduct and manage quantitative finance alpha research from diverse data sources to provide accurate stock return forecasts. Build and implement profitable quantitative equity investment models. Assist with generating trading strategies. Conduct research on and analyze large data sets. Gather investment thesis and author quantitative research reports and present research results to management and other team members. Collaborate with other members of the team (including developers and other researchers) in the full life-cycle R&D process from idea generation, data preparation, model building, implementation and production deployment. Play significant role in the design, building and maintenance of the team’s research and trading infrastructure and systems. This position is hybrid; may work at home up to 2 days per week.

Must possess at least a master’s degree or its equivalent in Computational Finance, Financial Engineering, Statistics, Mathematics, Operations Research, Computer Science, or a related STEM field and at least 5 years of experience as a Quantitative Researcher or in a related role at a financial services institution. Must also possess at least 5 years of experience with the following: developing, researching, and implementing quantitative models for options on behalf of a financial service institution; programming/utilizing KDB and Python; performing statistical analysis of historical data gathered from financial markets to build quantitative models; conducting independent research utilizing large data sets; volatility surfaces and options volume forecasting models; and hedging and risk management for options portfolios.

Approximately 40 hours per week; the salary range for this position is from $200,000 to $400,000 per year. Any person who is interested in this position may apply to the following for consideration: Send your resume to svcRecruiting@Point72.com and reference Job Code W102026Y.

Quantitative Researcher (Job # ID: 00097686) (Tower Research Capital LLC; Chicago, IL): Creating analysis tools to research trading opportunities from market data, identifying latency requirements, alpha horizons, and PNL impact. Developing, augmenting and calibrating exchange simulators to faithfully replay these market events. Researching market microstructure. Creating high to mid frequency alphas from market data. Profiling performance of existing ultra-low latency trading strategies. Researching, designing, implementing, and deploying new ultra-low latency trading strategies. Creating post-trade tools to monitor trading performance and competitiveness. Must be able to work onsite at the corporate office 3 or more days per week.

Minimum requirements: Bachelor’s degree or foreign equivalent in Mathematics, Statistics, Computer Science or related field, plus 5 years of experience in a Quantitative Researcher or Quantitative Developer position, job offered, or related occupation.

Must have:

Skills with the following required:

1. 3 years of experience with machine learning modeling.
2. Low latency trading.
3. Mathematics and statistics, specifically machine learning techniques that deal with large data sets.
4. Financial instruments and their derivatives.
5. CME microstructures and market data protocol.
6. Python for scientific computing.
7. C++ language for designing patterns and template meta-programming.

Salary: $150,000.00 to $250,000.00 per year

For full benefits visit: https://tower-research.com/careers/

Apply online at https://tower-research.com/open-positions/ or send resume to Tower HR at us-ta@tower-research.com & indicate job # ID 00097686.

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ExodusPoint Capital Management seeks an Operations Engineer in NY, NY. This is a hybrid position; must work 3 days per week out of the New York, NY office and can work remotely within the U.S. 2 days per week. Design, develop, and optimize high-performance Java applications supporting trade capture and post-trade workflows (matching, settlement, reconciliation). Must possess at least a bachelor’s degree or its equivalent in Computer science or a related field and at least 5 years of progressive experience as a Java Developer or related role in the financial industry. Must also possess the following: at least 5 years of experience with financial markets; at least 5 years of experience working with real-time data pipelines; at least 5 years of experience with Core Java, concurrency, multithreading, and performance tuning; and at least 2 years of experience with Kafka and event-driven architectures. Salary range = $193,461 to $200,000. Send resume to Lauren.Kocaj@exoduspoint.com & refer to Job Code SK102026.