Quantitative Analyst II
AffirmFull Time
Mid-level (3 to 4 years)
Key technologies and capabilities for this role
Common questions about this position
The position is hybrid in New York City, requiring a minimum of 3 days per week in the office.
This information is not specified in the job description.
Candidates need a PhD in Math, Science, Engineering, or related field, solid mathematical and analytical ability, exceptional problem-solving and modeling skills, research intuition, programming experience in Python, R, Matlab, or C++, and excellent communication and collaboration skills.
The culture is intellectually challenging, collaborative, down-to-earth, and diverse, with high employee retention.
Strong candidates hold a PhD in a quantitative field, have experience from PhD programs, postdocs, faculty, scientific labs, or finance, and demonstrate self-motivation, productivity, meticulousness, and a passion for solving complex real-world problems with large datasets.
Quantitative asset management and algorithmic trading
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.