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5

Quantitative Researchers - Perm

5zjdnwgz9rgt98nybpazqo8bw8rfbl00caqs4j4fd2bztzkfucovot2hjp1hm9he · 30+ days ago

New York, NY, US

$127k+
Estimation

Full-time

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A large medium-frequency market-neutral global systematic equities team is looking for an Associate Portfolio Manager or Quantitative Researcher to directly add value to a portfolio through innovation idea generation, scientific research, effective portfolio construction, prudent risk management and efficient trade execution.

This role will work directly with a Quantitative Portfolio Manager on an investment team. The APM/QR will work with the team to:

Conduct quantitative research and analysis relating to equity trading, equity alpha generation, and portfolio construction
Develop intraday trading strategies and equity trading execution
Develop broad-based statistical arbitrage alphas and trading strategies

Qualifications

Advanced degree in highly quantitative field, including Mathematics, Statistics, Physics, Computer Science, Financial Engineering, etc.
4-7 yrs work experience in alpha research and/or portfolio management
Versatility in statistical modelling involving linear and non-linear techniques
Deep understanding of hypothesis testing
Familiarity with factor-based risk framework
Strong programming skills. Proficiency in Python is a must
Highest level of professional integrity and intellectual honesty
Strong interpersonal and leadership skills
Open, curious and growth mindset
Hungry, hardworking, gritty

Preferred Qualifications

Experience in single-name equities volatility, options strategies, event arbitrage strategies, or any other less traditional strategies
Knowledge of alternative data strategies or KPI predictions
Experience with equity trading, flow data, algorithmic trading, execution, central risk book, and/or market microstructure
Experience with intraday trading and transaction cost analysis
Experience with cloud computing (AWS/Docker/Containers)
Knowledge and experience in utilizing 3rd party algos
Knowledge of Pandas, Sklearn, machine learning and NLP are pluses

•

Last updated on Nov 14, 2023

About the company

5

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