Quantitative Trader 2025 Autumn Associate - London, New York, Hong Kong

Balyasny Asset Management L.P.; Greater London; On-site; GBP 60,000 - 80,000; Full time

Job summary

A leading hedge fund in London is offering a 2025 Autumn Associate position focused on Quantitative Event-Driven trading. This 6-12 month internship provides the opportunity to assist with quantitative research and improve trading strategies. Candidates should have a Master's in a quantitative field and proficiency in Python. The role includes comprehensive training and a collaborative work environment.

Benefits

Daily access to kitchen with snacks

Lunch delivery services

First-class fitness facility

Qualifications

• Master’s degree (completed or near completion) in Mathematics, Physics, or a related quantitative field.
• Excellent written and verbal communication skills in English.
• Proficiency in Python and pandas.

Responsibilities

• Assist in Quantitative Research for statistical arbitrage trading strategies.
• Participate in the development and maintenance of portfolio risk models.
• Support the improvement of Python-based systematic trading code.

Skills

Analytical skills

Modeling skills

Communication skills

Python proficiency

Detail-oriented

Education

Master's degree in Mathematics, Physics, or related field

Tools

Python

Pandas

Job description

OVERVIEW

We are looking for a 2025 Autumn Associate, Quant Trading, Equites, to intern with us for a period of 6-12 months, with one of our Systematic Portfolio Management teams. This program offers a valuable experience in the hedge fund industry, providing an opportunity to learn and engage in quantitative trading and related research activities.

You will have the chance to learn from experienced professionals in a collaborative and dynamic environment.

ROLE DESCRIPTION

As an Autumn Associate, you will work in collaboration with one of our Systematic Portfolio Managers, focusing on Quantitative Event-Driven trading. Your responsibilities will encompass:

· Assisting in Quantitative Research for statistical arbitrage trading strategies, including idea generation, strategy back-testing, and analysis

· Participating in the research, development and maintenance of portfolio risk models and market frictions

· Supporting the improvement of our Python-based systematic trading code base, upholding our standards of reliability and efficiency

· Conducting end-of-day processes, including the organization of trade logs, recording daily P&L, and assisting with compliance procedures.

· Ensuring the integrity of large-scale security data by performing rigorous cleaning, maintenance, and validation processes.

· Contributing to ad hoc analytic projects, further expanding your financial and analytic knowledge

We will provide comprehensive training

QUALIFICATIONS

· Master’s degree (completed or near completion) in Mathematics, Physics, or a related quantitative field from a top-ranking institution

· Prior financial knowledge is not required

· Excellent written and verbal communication skills in English

· Strong analytical and modeling skills

· Proficiency in Python and pandas

· Exceptionally motivated, detail-oriented, hard-working, and of the highest integrity

BAM EMPLOYEE AND INTERN PERKS

· Work in one of our beautiful offices, London, New York or Hong Kong

· Daily access to BAM kitchen stocked with various, snacks, teas & coffees, soft drinks, etc.

· Daily lunch delivery services provided by BAM

· First-class fitness facility with showers and changing room facilities