Applied ML Scientist at PDT Partners

New York, New York, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Quantitative Finance, Investment ManagementIndustries

Requirements

PhD preferred; Undergraduate or Master’s degree with equivalent industry experience in machine learning
2+ years of applied machine learning research experience
Solid mathematical and analytical ability
Exceptional problem-solving and modeling ability
Research intuition
Experience in programming (Python, R, Matlab, C++)
Excellent communication and collaborative whiteboard skills
Meticulous and detail-oriented, with a strong drive 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
Ability to work collaboratively and productively with others
Enjoy solving complex, difficult, real-world problems
Entrepreneurial and creative
Hybrid location in New York City (minimum 3 days per week)
Full-time job type

Responsibilities

Work closely with senior researchers on various trading strategies and research projects
Conduct independent research and originate research topics over time
Contribute to the long-term success of PDT’s research-driven algorithmic trading business
Develop, implement, evaluate, and iterate on statistical methods, directly applying them to enhance trading strategies
Navigate quantitative and technical challenges within projects to advance research methodology

Skills

Python

Matlab

C++

Machine Learning

Statistical Methods

Large Datasets

Research

Modeling

PDT Partners

Quantitative asset management and algorithmic trading

About PDT Partners

PDT Partners focuses on quantitative asset management by developing models that identify inefficiencies in financial markets and predict market movements. The firm uses sophisticated trading algorithms that analyze large amounts of market data to find patterns and execute trades accurately. Unlike many competitors, PDT Partners has a long history in algorithmic trading, having been a pioneer in the field since the 1990s. The company serves institutional clients, such as hedge funds and pension funds, helping them optimize their investment strategies through data-driven insights. PDT Partners aims to foster a collaborative environment where its team can continuously explore and innovate, ensuring that all ideas are carefully validated before implementation.

New York City, New YorkHeadquarters

1993Year Founded

VENTURE_UNKNOWNCompany Stage

Quantitative Finance, Financial ServicesIndustries

201-500Employees

Benefits

Full medical, dental, vision, disability, and life insurance coverage

Wellness perks and programs

Generous time off and unlimited sick leave

Match charitable giving

Subsidize fitness and exercise

Emergency back-up child and elder care

401k matching and pre-tax benefits

Risks

Emerging quantitative firms using AI may erode PDT's market share.

Intensifying regulatory scrutiny could lead to stricter compliance requirements for PDT.

Technological advancements necessitate costly upgrades to maintain PDT's competitive edge.

Differentiation

PDT Partners excels in quantitative investing with a focus on market inefficiencies.

The firm leverages cutting-edge technology and scientific research for algorithmic trading.

PDT Partners fosters a collaborative culture, encouraging innovation and intellectual curiosity.

Upsides

Rising ESG investing trends offer opportunities for specialized algorithm development by PDT.

Alternative data sources enhance PDT's market prediction capabilities.

Machine learning adoption allows PDT to integrate sophisticated pattern recognition into models.

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