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Equanime - Systematic Equities Quant MKT Neutral PM

BW
Posted 3 months ago, valid for 11 days
Location

New York, NY 10008, US

Salary

Competitive

Contract type

Full Time

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Sonic Summary

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  • BWGI is hiring a Systematic Equities Portfolio Manager for its new Equity Multi-Strategy Platform, which focuses on data-driven investment strategies in global equity markets.
  • The successful candidate will require an advanced degree in a quantitative field and at least 7 years of experience in systematic equities trading or portfolio management.
  • Key responsibilities include developing systematic trading strategies, conducting rigorous research, and overseeing portfolio construction and risk management.
  • Candidates should have strong programming skills in languages such as Python, C++, or R, along with a proven track record of deploying profitable systematic equity strategies.
  • The position offers a competitive salary, reflecting the experience and expertise required for this senior role.

BWGI, the wholly owned asset manager of Brasil Warrant, has formed the Equity Multi-Strategy Platform as an additional investment vertical. The Equity Multi-Strategy Platform expects to hire portfolio managers across fundamental, systematic, flow-based and event-driven equity alpha strategies. Brasil Warrant has been in existence for over 100 years, managing, operating and acting as a controlling shareholder of businesses across various industries, including financial services. BWGI provides the infrastructure, processes and capital of a large-scale institutional asset manager while, at the same time, offering duration, permanence and a long-term investment horizon.

Job Description:
We are seeking a talented and experienced Systematic Equities Portfolio Manager to lead and execute data-driven investment strategies within global equity markets. The successful candidate will develop and manage a portfolio using quantitative and algorithmic trading approaches, leveraging statistical models, machine learning techniques, and proprietary datasets to generate alpha.

Key Responsibilities:

  • Develop and implement systematic trading strategies in equities markets, leveraging quantitative models and alternative data.
  • Conduct rigorous research, including statistical analysis, machine learning, and factor-based modeling, to identify market inefficiencies.
  • Oversee portfolio construction, execution algorithms, and risk management to optimize strategy performance.
  • Collaborate with data scientists, engineers, and other portfolio managers to enhance research and execution capabilities.
  • Monitor market conditions, strategy performance, and risk exposure, making real-time adjustments as needed.
  • Utilize advanced programming languages (e.g., Python, C++, R) and cloud-based computing resources to optimize models and trading infrastructure.
  • Maintain a disciplined approach to strategy validation, backtesting, and implementation with a focus on scalability and robustness.
  • Communicate investment strategies, risk metrics, and performance attribution to senior leadership and investors.

Qualifications:

  • Advanced degree (Master’s or PhD) in a quantitative field such as finance, mathematics, computer science, physics, or engineering.
  • 7+ years of experience in systematic equities trading or portfolio management within a hedge fund, proprietary trading firm, or asset management firm.
  • Strong background in statistical modeling, machine learning, and algorithmic trading strategies.
  • Proficiency in programming languages such as Python, C++, or R, with experience in high-performance computing and data processing.
  • Deep understanding of market microstructure, execution algorithms, and risk management techniques.
  • Proven track record of developing and deploying profitable systematic equity strategies with scalable AUM.
  • Ability to work in a fast-paced, collaborative environment while maintaining a strong focus on risk-adjusted returns.



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