Systematic Equities Quantitative Researcher / Developer

Balyasny Asset Management L.P.; New York (NY); On-site; USD 100,000 - 200,000; Full time

Job summary

A leading global investment firm is seeking a Systematic Equities Quantitative Researcher / Developer in New York City. The role offers the opportunity to develop innovative trading strategies under direct mentorship from a portfolio manager, providing exposure to a fast-paced quantitative investment environment. Candidates should possess a strong academic background in a STEM field and expertise in programming and quantitative techniques.

Benefits

401(k) plan with company matching

Paid vacation days and holidays

Complimentary onsite meals, snacks, and beverages

Paid parental leave and adoption assistance

Medical, dental, and vision insurance for employees and dependents

Onsite gym or reimbursement for wellness expenses

Employer-paid group term life and AD&D insurance

Qualifications

• Must have a degree from a top academic institution.
• Versatility to be a researcher or developer.
• Experience with handling large datasets is highly valued.

Responsibilities

• Develop trading strategies and systems with the PM.
• Work on quant equity strategies across various themes.
• Participate in the complete quantitative investment pipeline.

Skills

Proficiency in Python 3

Proficiency with SQL

Proficiency in multivariate linear regression

Good communication skills

Strong focus on details and results

Education

Bachelor's, Master's, or PhD in STEM

Tools

Linux

Git

Machine Learning libraries (e.g., scikit-learn)

Job description

Systematic Equities Quantitative Researcher / Developer

Join to apply for the Systematic Equities Quantitative Researcher / Developer role at Balyasny Asset Management L.P.

Systematic Equities Quantitative Researcher / Developer

Join to apply for the Systematic Equities Quantitative Researcher / Developer role at Balyasny Asset Management L.P.

Systematic Equities Quantitative Researcher / Developer

Company Overview

Balyasny Asset Management (BAM) is a global, multi-strategy investment Firm with $25 billion in assets under management. Today, BAM employs more than 160 investment teams across 17 global offices. We are active across six investing strategies: Equities Long/Short, Equities Arbitrage, Macro, Commodities, Systematic, and Growth Equity.

Role Overview

A Systematic Equities Portfolio Management team is hiring a quantitative researcher / developer to develop trading strategies and systems. This role will be directly mentored by and report to the portfolio manager (PM). You will have the opportunity to work directly with the PM on quant equity strategies across a variety of themes. You will gain exposure to the entire quantitative investment pipeline, including data ingestion, feature engineering, backtesting, execution, and post-trade analysis. The team rapidly iterates through ideas and implementations, so you will be exposed to a fast-paced learning environment.

Preferred location is New York City.

Minimum Qualifications:

• A Bachelor's, Master's, or PhD degree from a top academic institution in a STEM field, such as Computer Science, Statistics, Mathematics, Financial Engineering, Physics, etc.
• Versatility to function as either a researcher (QR) or developer (QD) when needed.
• Proficiency in Python 3, NumPy, and Pandas is a must.
• Proficiency with essential technologies, including SQL, Linux, S3, and Git.
• Proficiency in basic quantitative techniques, such as multivariate linear regression.
• Strongly focus on details and results. Understands the concept of minimum viable product and swiftly delivers high-quality code and iterates onward.
• Good communication skills and proactively brainstorm with the PM.
• Takes ownership of the product but always ready to collaborate.
• Skilled in multitasking across 3+ projects while adhering to the Portfolio Manager's priority assignments in a fast-paced environment.

Highly Valued:

• Experience with US mid-frequency cross-sectional quant equity strategies.
• Experience with the quant pipeline, such as alpha research, backtesting, portfolio optimization, factor models, trading algorithms, P&L / risk attribution, and transaction cost analysis.
• Experience with handling very large datasets.
• Knowledge of advanced non-linear statistical techniques and proficiency with machine learning libraries such as scikit-learn.
• Experience with large-language models and prompt engineering.
• Experience with job scheduling frameworks such as Airflow.
• Experience with monitoring visualization tools such as Grafana.
• Experience with distributed computing tools such as Docker, Kubernetes, and Ray.
• 401(k) plan with company matching
• Paid vacation days and holidays
• Complimentary onsite meals, snacks, and beverages everyday
• Paid parental leave and adoption assistance program
• Medical, dental, and vision insurance for employees and dependents
• Dependent care and health care flexible spending accounts
• Onsite gym or reimbursement for wellness expenses
• Employer-paid group term life and AD&D insurance
• Free firmwide events and workshops

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Research

Referrals increase your chances of interviewing at Balyasny Asset Management L.P. by 2x

Inferred from the description for this job

401(k)

Medical insurance

Vision insurance

Paid maternity leave

Paid paternity leave

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