--- title: 'Applied ML Scientist at PDT Partners' canonical: 'https://feeny.ai/job/applied-ml-scientist-pdt-partners-new-york-q8n4cjfeqqw3' type: 'job' last_seen: '2026-09-13' --- # Applied ML Scientist at PDT Partners - **Company:** PDT Partners - **Location:** New York, NY - **Posted:** 2026-07-24 - **Last confirmed live:** 2026-09-13 - **Apply:** https://job-boards.greenhouse.io/pdtpartners/jobs/1473516 ## Job description PDT, a quantitative investment manager, is hiring problem solvers who blend programming and applied research experience. Individuals in this role will devise, implement, evaluate, and iterate to create and improve statistical methods vetting them through direct application to enhancing our trading strategies. Applied ML scientists are expected to navigate quantitative and technical challenges within a project to advance our research methodology. They will have ample opportunity to collaborate with our deep bench of senior researchers and technologists. PDTers are creative, energetic, friendly, entrepreneurial, and collaborative. If you could walk around our office, you’d see that we’re a focused, intent, and nimble company with none of the attitude and bureaucracy of a stereotypical Wall Street trading firm. We love to work on challenging and complicated problems, that in return give a chance to make outsized, direct impact on our bottom line. For the right talent, there is fantastic growth potential. This is a hybrid position and will require the person to work from our New York City office at minimum 3 days a week. Why join us? PDT Partners has a 30+ year track record and a reputation for excellence. Our goal is to be the best quantitative investment manager in the world—measured by the quality of our products, not their size. PDT’s very high employee-retention rate speaks for itself. Our people are intellectually extraordinary and our community is close-knit, down-to-earth, and diverse. Responsibilities: - Work closely with senior researchers on a variety of trading strategies and research projects, with the opportunity to conduct independent research and originate research topics over time - Contribute to the long-term success of our research-driven algorithmic trading business Below is a list of skills and experiences we think are relevant. Even if you don’t think you’re a perfect match, we still encourage you to apply because we are committed to developing our people - Solid mathematical and analytical ability; exceptional problem-solving and modeling ability - Research intuition - Experience in programming (Python, R, Matlab, C++) - Excellent communication and collaborative white board skills - Meticulous and detail-oriented, and innately driven to understand issues deeply - Experience with/interested in working with large data sets - Self-motivated and highly-productive, with a strong sense of ownership and urgency - Able to work collaboratively and productively with others - Enjoy solving complex, difficult, real-world problems - Entrepreneurial and creative - Finance knowledge is not required or expected - PhD preferred - Undergraduate or Masters degree with equivalent industry experience in machine learning - 2+ years of applied machine learning research experience - Strong publication record - Experience with the Python scientific stack We take research seriously. Beyond your resume, we want to understand your research history and the papers most relevant to evaluating your candidacy. We strongly encourage you to answer all application questions and allow us to understand you as a researcher and determine where you would be the strongest fit in our team. The salary range for this role is between $190,000 and $250,000. This range is not inclusive of any potential bonus amounts. Factors that may impact the agreed upon salary within the range for a particular candidate include years of experience, level of education obtained, skill set, and other external factors. PRIVACY STATEMENT: For information on ways PDT may collect, use, and process your personal information, please see [PDT’s privacy notices](https://pdtpartners.com/legal-notices). ## About PDT Partners ## Company Overview - **One-liner**: PDT Partners is a quantitative asset management firm that uses a rigorous scientific, systematic, and model-driven approach to identify and exploit inefficiencies in global financial markets. - **Entity Type**: Private (spun out of Morgan Stanley in 2013) - **Headquarters**: New York, New York, United States (with an office in London, UK) - **Founded**: 1993 (as a proprietary trading group within Morgan Stanley; became independent in 2013) - **Founders**: Peter Muller (Founder & CEO) ## Core Business - **Primary industry**: Investment Management / Quantitative Finance - **Target customers**: Institutional investors (the firm manages assets for external clients, but the business operates as an investment manager) - **Mission or purpose statement**: While the firm does not publish a single corporate mission statement, its culture page emphasizes “alleviating poverty through education and workforce development” via the PDT Give philanthropy program, and on the careers page it states: “We are a talent-driven organization… raw ability and judgment matter more to us than skills and experience.” ## Products & Services PDT Partners is a single-product firm at its core — a quantitative investment management platform — but internally it operates through several teams that develop and execute strategies: - **Quantitative Investment Strategies**: Systematic, model-driven trading across multiple asset classes, built on proprietary research and data science. - **Technology & Infrastructure**: Cloud engineering, platform engineering, trading infrastructure, and post-trade software that support the firm’s research and execution. - **Business Operations**: Fund accounting, investor relations, tax, and recruiting functions that enable the firm to run smoothly. ## Market Standing - **Valuation / Market Cap**: Not disclosed (private firm) - **Key Metric**: Multiple billions of dollars in assets under management (AUM) — exact figure not publicly available - **Notable Investors / Partners**: Spun out of Morgan Stanley after a 19-year track record inside the bank; no external lead investors listed. The firm is owned by its partners. - **Growth Signals**: - Headcount: ~177 employees (+6% YoY, +14 people) as of mid-2026; the firm describes itself as “around 200 scientists, engineers, and professionals.” - High employee retention is a stated strength; the LinkedIn ratings show a 4.4 overall (4.7 culture, 4.4 compensation, 4.5 work-life balance). - Active hiring across Technology, Research, and Business Operations roles (14 open positions as of early July 2026). ## Competitive Advantages - **Talent density**: The firm explicitly hires for raw ability and judgment over specific credentials, leading to a highly selective, intellectually rigorous team. - **Long track record**: Founded in 1993 (32+ years) and spun out with a documented 19-year track record – rare in quantitative finance. - **Aligned incentives**: Compensation is tied to the firm’s long-term investment performance through deferred compensation, encouraging a multi-year perspective. - **Collaborative culture**: Described as “collaborative” and “kind” by employees, with a growth mindset that encourages learning from mistakes and open feedback. - **High retention**: The firm prides itself on keeping talent, which preserves institutional knowledge and reinforces culture. ## Strategic Focus - **Continued investment in quantitative research**: Hiring Applied ML Scientists, Quantitative Researchers, and Research Engineers suggests a focus on pushing the frontier of alpha generation. - **Scalable infrastructure**: Cloud and platform engineering roles indicate a move toward modern, cloud-native trading infrastructure. - **Global presence**: Maintaining offices in New York and London to access talent and markets on both sides of the Atlantic. ## Why Work Here - **Culture**: Rated 4.7 on LinkedIn; described as “collaborative,” “intellectually free,” and with a “growth mindset.” Employees cite kindness and mutual respect. - **Compensation**: “No fixed or pre-determined upper bounds” – generous, long-term deferred compensation tied to firm performance; LinkedIn confirms a 4.4 compensation rating. - **Benefits**: Full medical/dental/vision, 401k matching, unlimited sick leave, subsidized fitness, emergency back-up child/elder care, annual conference/seminar attendance, tuition reimbursement, charitable match, and an active philanthropy program (PDT Give). - **Work environment**: Casual, flexible, stocked pantries, company meals, outings, and ping-pong/poker/trivia. Internally, employees host book clubs, speaker series, and training. - **Work Model**: Not explicitly hybrid or remote; the careers page emphasizes “our work environment is comfortable, casual, and flexible,” but given the roles (trading infrastructure, research), on-site presence in New York or London is likely expected. - **Learning**: Internal training, external speakers, annual conferences, tuition reimbursement, and a strong feedback culture. ## Sources 1. [pdtpartners.com](https://pdtpartners.com/) 2. [pdtpartners.com/careers](https://pdtpartners.com/careers) 3. [pdtpartners.com/culture](https://pdtpartners.com/culture) 4. [linkedin.com/company/pdt-partners-llc](https://www.linkedin.com/company/pdt-partners-llc) 5. [job-boards.greenhouse.io/pdtpartners](https://job-boards.greenhouse.io/pdtpartners) ## Other roles at PDT Partners - [Summer 2027 Systems Engineering Intern](https://feeny.ai/job/summer-2027-systems-engineering-intern-pdt-partners-new-york-gz0zs432n49f) — New York, NY - [Summer 2027 Software Engineering Intern](https://feeny.ai/job/summer-2027-software-engineering-intern-pdt-partners-new-york-36cmt6tj1ja1) — New York, NY - [Software Engineer](https://feeny.ai/job/software-engineer-pdt-partners-london-mvefy9jatada) — London, United Kingdom - [Performance Engineer](https://feeny.ai/job/performance-engineer-pdt-partners-new-york-cjraz0n2eycm) — New York, NY - [Quantitative Researcher](https://feeny.ai/job/quantitative-researcher-pdt-partners-new-york-mgqfxb5jsqcx) — New York, NY - [Research Engineer](https://feeny.ai/job/research-engineer-pdt-partners-new-york-vtqw9h5t0szq) — New York, NY - [Trading Operations Analyst (Asia Market Hours)](https://feeny.ai/job/trading-operations-analyst-asia-market-hours-pdt-partners-new-york-wk8931zva5ja) — New York, NY - [Software Engineer](https://feeny.ai/job/software-engineer-pdt-partners-new-york-n9cskpzjktzz) — New York, NY - [Applied ML Scientist](https://feeny.ai/job/applied-ml-scientist-sentilink-united-states-qb37cs78qtrq) — United States