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.

BAM Benefits:

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
Transit benefits
Free firmwide events and workshops

With respect to NY, CA, and IL based applicants, the starting base pay range for this role is between $150000 and $225000 annually. The actual base pay is dependent upon several factors, including, but not limited to, relevant experience, business needs and market demands. This role may also be eligible for bonus compensation and employee benefits.