ROLE/RESPONSIBILTIES: We are seeking a quant research intern to join an NLP quant team within Point72. We believe the significant advances in NLP methods show promise for finance. We develop and launch end-to-end signals, from data processing to performance testing. The ideal candidate will have strong machine learning, data science and software engineering skills, some experience with modern NLP, and a curiosity about finance and trading. Responsibilities may include: Using NLP to construct features from varied datasets Formulating research hypotheses to derive alpha Building and testing the performance of trading signals based on NLP and financial features Launching identified signals into production REQUIREMENTS: Bachelor’s, Master’s or PhD candidate in computer science or other quantitative discipline Proficient in Python and general software engineering principles (github, testing, dev workflow) Strong understanding of machine learning and statistics Prior research experience preferred Experience with deep learning, specifically NLP (PyTorch, HuggingFace, LLMs, etc.) preferred Data science stack familiarity preferred An interest in financial markets Great attitude A collaborative mindset Commitment to the highest ethical standards ABOUT POINT72: Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long-term growth.
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ROLE/RESPONSIBILTIES: We are seeking a NLP engineer for a NLP research team within Point72. The ideal candidate has a track record of developing modern NLP solutions, including the use of LLMs, agents, RAG, open-source models fine-tuning and deployment, etc. Responsibilities include: Exploring and combining rich internal and external textual datasets Building GenAI solutions, leveraging both internal models and external APIs Formulating research hypothesis to derive alpha Post-training models for specific tasks Benchmarking LLM approaches internal tasks We believe the investment world offers unique opportunities to use modern NLP methods. We are a team ideally situated for that, having access to both internal and commercial datasets, with an end-to-end research philosophy and direct portfolio impact. REQUIREMENTS: Bachelor, Master’s or PhD graduate or candidate in computer science or another quantitative discipline Experience in NLP, particularly LLMs. Proficient in Python, SQL and general software engineering principles (github, testing, etc.) Data science stack familiarity Interest in financial markets Collaborative mindset ABOUT POINT72: Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long-term growth.
Role: The Quant Researcher will report to a Stamford based Portfolio Manager and will focus on: Building, running, and maintaining power dispatch model for ERCOT and other major US ISOs Driving the model’s inputs and architecture to efficiently simulate power grid conditions and marginal pricing Continuously testing and improving the model, ensuring it accurately replicates historical conditions and effectively analyzes forward scenarios Communicating the model’s results and limitations to the wider investment team Responsibilities: Formulate and build a power dispatch model using Python and a commercial solver Collaborate with the PM to optimize model inputs and architecture Ensure the model replicates grid operations from historical conditions Suggest model improvements to decrease forecast error and improve scenario handling Regularly run the model and maintain up-to-date outputs in an internal database Communicate results and limitations to the wider investment team, including publishing results to team dashboards Requirements: Master or PhD in operations research, electrical engineering, applied mathematics, or a related quantitative field 5+ years of direct experience building power dispatch models (SCUC/SCED) using optimization solvers (Gurobi, CPLEX, etc.) Knowledge of power plant dispatch, grid operations (including capacity and AS obligations), and LMP pricing in US power markets Experience using SQL and timeseries databases Proficiency in Python and Git; additional experience with an OOP language a strong plus Domain knowledge in ERCOT, PJM, or CAISO preferred About Point72: Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor-led cultu
About Energy CX: Energy CX is redefining the energy brokerage industry as the fastest-growing player in the US. By bringing cutting-edge technology, advanced analytics, and innovative solutions, we are disrupting a space that has operated in the dark for too long. Why Energy CX? Recession proof industry Entrepreneurial and ambitious culture with a great team oriented environment Fastest growing energy broker in the country Recognized by Fortune and Great Places to work US Named on Inc 5000’s list of America’s fastest growing companies Compensation Year 1 Expected Earnings → $80,000-$120,000 Title: Account Manager Energy CX is rapidly growing its customer success team and we are seeking Chicago-based professionals to work with the largest CRE firms and manufacturers in the country. About this Job We are looking for customer-facing individuals who will be responsible for renewing our existing customers and strengthening the relationship. Given that this is a growing team we are looking for an individual who is comfortable in a dynamic environment. The person for this job is a relationship builder and excellent communicator. Energy CX believes in obsessing over the customer experience. We are looking for people who understand the importance of this innately, and get excited about making customers happy. Objectives of this Role Retain logos while increasing net revenue Educate and set clear expectations with your customers. Extreme visibility / clarity for all customers is the goal Actively manage all customers to ensure their agreed upon success criteria are met Create lasting relationships with customers through in-person events (dinner, sporting events, coffee, etc.) To be successful in this role you are: Solution-oriented. Problems / Issues are viewed as opportunities, not obstacles Growth-minded: Able to zoom out and prioritize the long term over the short term Interested in learning about a complex industry and new customer bas
Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. As a Senior Software Developer on this high-impact team, you’ll collaborate across engineering, business, operations, and vendor channels to support critical infrastructure. Most product initiatives begin with us, as we enable reliable, scalable access to financial instrument data across Robinhood! Your work will help drive new feature rollouts and product expansions across multiple lines of business! The WonderFi team including Coinsquare and Bitbuy, is now part of Robinhood and gives the company a direct path into the regulated Canadian crypto market through WonderFi’s licenses, platforms, and existing customer base. As part of the transition, Robinhood is gradually migrating eligible WonderFi customers onto the Robinhood Canada platform, with Bitbuy and Coinsquare accounts moving to read-only mode after migration while customers retain access to past transactions and tax documents for a period of time. These roles are based in our Toronto, ON, Canada office, with hybrid attendance expected at least 3 days per week. What you’ll do ● Build scalable systems and backend components, balancing stability, performance, and maintainability ● Design, implement, test, and dep
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