Quantitative Engineer

Overview Role: Quantitative Software Engineer Lead 5 days a week in NYC HQ Base salary: $225k-375k Equity: Competitive Initial Equity Package + refreshers 4+ Years of Experience About Pillar Pillar is building the next-generation commodity risk management stack for the $10T physical economy. We combine real-time marketdata with AI-powered exposure modeling and automated trade generation to arm operators with precise protection from volatility. From instant execution to continuous monitoring, alerts, and recommendations, Pillar turns complex market risk into a fully managed, always-on hedging engine. We were founded in 2023 by the youngest macro market-maker at Barclays and a trading systems engineer at Coinbase, and have raised over $20M in capital from Andreesen Horowitz (a16z), Crucible Capital, Neo, Crossbeam Venture Partners and more. What You’ll Do Architect the future of commodity trading infrastructure: Lead development of our trading system as we start scaling in new markets and onboarding new customers. Engineer at the edge of performance: Build and optimize low-latency distributed systems, ensuring our platform minimizes risk and gets optimal prices on fills. Build and mentor a world-class team: Shape our engineering culture, hire and mentor talented engineers, and collaborate directly with founders to solve some of the most challenging problems in financial technology. Own critical systems end-to-end: From market data ingestion to order execution and risk monitoring, you'll have autonomy over mission-critical infrastructure that keeps our clients' businesses running 24/7. What We are Looking For Deep understanding of data structures, algorithms, design patterns, and core systems fundamentals. Extensive experience architecting and building complex financial systems with a focus on building and scaling low latency event driven distributed systems Strong ownership and teamwork, ability to work collaboratively to unblock work, drive momentum, and make sure im

Who are we? FalconX is a pioneering team of operators, investors, and builders committed to revolutionizing institutional access to the crypto markets. Operating at the intersection of traditional finance and cutting-edge technology, FalconX addresses the industry's foremost challenges: Navigating the digital asset market can be complex and fragmented, with limited products and services that support trading strategies, structures, and liquidity found in conventional financial markets. As a comprehensive solution for all digital asset strategies from start to scale, FalconX operates as the connective tissue empowering clients with seamless navigation through the ever- evolving cryptocurrency landscape. Impact At FalconX, you’ll help make crypto assets a successful asset class. Some of the largest financial institutions from Wall Street to Silicon Valley and around the world will turn to you for the best market prices and insights on the crypto industry. You will become the expert on crypto industry trends and market movements. With your experience, you will shape our company’s trading strategies according to our core values - speed, transparency and trust. As a core quant developer you’ll: As a Quant Developer you’ll be focused on end to end ownership of electronic products and services. You will play a critical role in developing models and strategies to manage and mitigate financial risks associated with complex trading. You will work closely with cross-functional teams to ensure robust risk management frameworks are in place.You will ensure the pricing and risk management framework of our electronic products are up to the highest standards. Key Responsibilities Model Development : Design and implement quantitative models to assess and manage financial risks, including market, credit, and operational risks. Pricing and Risk Pipeline development : Conduct comprehensive risk assessments of our electronic pricing pipelines and scenario analyses to id

Quant/Developer Analyst for a Discretionary Macro Investment Team focused on Structured Products A Career with Point72’s Macro Team Point72’s Global Macro business is a scaled, global investment platform with more than two decades of experience trading across rates, FX, credit, volatility, and emerging markets. Operating across 10 offices worldwide, we have doubled our capital allocation and grown our number of teams fivefold since 2020. We combine deep asset-class expertise with a highly collaborative culture across macro, fundamental equities, and systematic strategies to drive differentiated investment performance and support long-term career growth for our talent. What you’ll do Help architect and maintain the infrastructure for Structured Products investing. Leverage internal and external partners to help with data infrastructure builds. Integrate alternative and traditional data sets to help streamline our analytic processes. Use Artificial Intelligence (AI) to enhance and optimize processes. Work with risk parameters based on High Yield Equivalent and quantitative processes within market-standard analytics platforms such as Bloomberg. Manage and assist in special projects within the CLO market. What’s required 3+ years at a sell-side firm in a trading or quantitative research role, or as a quant at a buy-side credit or mortgage-focused fund. Undergraduate degree or higher in computer science, economics, engineering, mathematics, physics, or statistics. Advanced knowledge of a programming language such as Python, C++, or SQL. Advanced skills in Excel and cashflow modeling. Extensive experience with third-party structured credit cashflow engines (e.g., INTEX) and API. Commitment to the highest ethical standards. We take care of our people We invest in our people, their careers, their health, and their well-being. When you work here, we provide: Fully-paid health care benefits Generous parental and family leave policies Volunteer opportunities Support for employ

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. The Investment Strategy team is expanding access to sophisticated investment advice by turning high-quality portfolio management into a scalable, intuitive experience for everyday customers. Sitting at the intersection of markets, product, and customer experience, our team combines rigorous investment thinking with a mobile-first product design. We are dedicated to building accessible investing tools that reach and support millions of people! As a Staff Quantitative Researcher , you will report to the Chief Investment Officer and play a key role in shaping our investment product offerings. In this role, you will build complex portfolio construction factor models, identify critical areas for methodology improvement, and design high-performing investment solutions. You will also collaborate closely with Product, Engineering, Compliance, and Legal to launch these products and bring them directly to our customers. This role is based in our New York, NY office, with in-person attendance expected at least 3 days per week. At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is

CLEAR is building THE secure identity company of the future. Our mission is to make experiences safer and easier—physically and digitally. With more than 43 million Members and a growing network of partners across the world, CLEAR's secure identity platform is transforming the way people live, work, and travel. Whether it’s at the airport, stadium, or throughout your everyday life, CLEAR unlocks the magic of frictionless experiences. We are seeking a Senior Manager of Industrial Engineering to join CLEAR's Central Operations team. This role is the quantitative backbone of our Experience & Operations Design function — owning the data-driven design standards, labor models, and capacity planning that determine how CLEAR's physical operation is structured and staffed. You will be the analytical engine behind lane design decisions, engineered labor standards, and demand forecasts, ensuring the operation is designed to deliver a consistently excellent member experience efficiently at scale. What you'll do: Develop and own engineered labor standards and staffing models across CLEAR’s physical experiences, including Verifier, Greeter, eGate, Concierge, TSA PreCheck, Enrollment, Sports, and new programs, serving as the operations source of truth for labor and headcount inputs Define physical operating requirements and sizing standards across lane configurations, verification and enrollment experiences, hardware placement, and queue management; lead checkpoint design for new and existing airport locations Lead demand forecasting and capacity planning across CLEAR experiences, modeling throughput, staffing requirements, operating hours, and operational impact for new programs, launches, surge periods, and events Drive operational efficiency through time studies, process analysis, and labor optimization, identifying and developing opportunities to improve productivity, capacity, and the Member experience across the network Partner cross-functionally with Operations,

About Snorkel Snorkel AI is the frontier AI data lab, helping teams build the data and environments behind high-performing frontier and agentic AI. We combine technology with research-driven AI data development to create datasets, benchmarks, evals, and custom solutions for real-world AI systems. Founded out of the Stanford AI Lab in 2019, Snorkel works with leading AI labs and enterprises to move from better data to better outcomes. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler! The Role As an Applied AI Engineer, you’ll research and utilize state-of-the-art Gen AI and machine learning (ML) techniques to successfully deliver solutions to our customers. You will work directly with our customers to understand their business and technical needs and design and deliver AI solutions to solve them. You will also help define Snorkel’s Applied AI tooling by translating repeatable real-world challenges into reusable solution recipes, workflows, best practices, and platform-level capabilities that become part of Snorkel’s next generation of AI tooling. We move fast and are constantly prototyping and innovating new ways to deliver value to our customers. This position is ideal for someone who enjoys solving complex problems, bridging the gap between AI technology and business value, working directly with customers, keeping up-to date with AI research, and standardizing bespoke solutions into internal recipes and staying naturally curious about the infrastructure that underpin the Applied AI stack end-to-end. Main Responsibilities Partner with customers to build and deploy impactful Gen AI and machine learning solutions, from use case scoping and data exploration to model development and deployment. This will involve designing custom approaches using state-of-the-art tools, with the goal of delivering real business value and informing the evolution of Snorkel’s tooling. Develop and implement state of the art AI systems such as retrieval-aug