Data Scientist (Quant Fund)

My client is one of the worlds top-tier quantitative hedge funds and they are hiring a Data Scientist with extensive AI/LLM experience to join a team that supports their different quantitative research efforts.

If you are interested in a Data Science role at a respected firm with great work-life balance then this is the role for you.

Whats the Job

The Data Scientist on this team will be used to support different single-stock teams (Equities Event-Driven Options etc) depending on their current needs. This means you will be exposed to many different aspects of their quantitative trading operations. This is part of a small nimble team that works together to tackle challenging problems.

You will be using your knowledge of the latest AI/LLM research and techniques and applying this to your modeling work. Your time will be spent scoping out projects doing advanced research building models and communicating with stakeholders.

This is a great opportunity to be involved in different parts of the business and expand your knowledge of different asset classes.

Compensation

$400000 - $600000 Total Compensation

Fully covered Medical Dental and Vision Insurance.

Tuition and Student Loan reimbursement.

Excellent 401(k) matching program.

Relocation is fully covered.

Qualifications

PhD or Masters in Statistics Mathematics Physics Electrical Engineering Computer Science or other related field.

2 years of experience in applied data analysis and prediction preferably in the finance industry setting but it is okay if you are outside of finance (Technology e.g.).

Excellent Python and SQL skills used for in-depth research and examining real-world data.

Ability to work with internal stakeholders to rigorously explore and test your data science theories.

Location

This is a partially remote position here in New York City. You must be able to work in the New York City office 5 days per month.

Who Are They

My client has over $50B AUM and is one of the most sought-after quantitative finance firms in the world to work for. They offer many opportunities for growth learning and career advancement. They are also well-known for their tech-first culture stability and consistent performance in the industry.

To learn more apply here today or email me at: