Quantitative Portfolio Management Senior Analyst Associate

The Quantitative EquityGroup (QEG) Portfolio Management team is responsible for the designimplementation and management of the systematic equity investment strategieswithin the IMD. We are seeking an Associate Quantitative Portfolio Manager withstrong research programming and finance foundations to contribute across thefull spectrum of the investment processfrom trade generation and execution toportfolio construction and infrastructure development.

This is a hands-oncross-functional role requiring a deep understanding of advanced statistics andstrong programming skills in Python. Expertise or strong interest inquantitative and fundamental investing is a plus. The successful candidate willwork closely with senior portfolio managers researchers and technologists tooperate and enhance production investment systems while also contributing tothe evolution of our alpha risk and implementation frameworks. This positionreports to the Head of Quantitative Portfolio Management.


WHAT YOU WILL DO:

Portfolio Management
Constructs portfolios generates trade orders and manages execution across multiple regional equity strategies ensuring accuracy efficiency and alignment with investment objectives.
Contributes to daily portfolio management activities by tracking position-level exposures assessing risk metrics and conducting performance attribution analyses.
Gains deep fluency in the structure and logic of the teams Python-based production codebase.
Maintains debugs and enhances the codebase to support evolving investment and operational needs.
Collaborates with technologists to ensure robustness scalability and transparency of production systems.
Maintains a high level of awareness of market dynamics liquidity conditions and macroeconomic developments.
Translates market insights into actionable decisions and risk-aware portfolio adjustments.

Research & Development
Performs cutting edge research to improve the existing process across alpha generation signal integration risk modeling portfolio construction transaction cost analysis and implementation.
Develops Python-based algorithms and interfaces with relational and NoSQL databases to access and analyze data.
Presents and defends research findings to senior portfolio managers and leadership.
Collaborates with researchers and software engineers to bring projects to completion.

Performs related work as assigned.

WHAT YOU WILL BRING:

Required Education
Bachelors degree from an accredited four-year college or university with major course work in mathematics statistics computer science financial engineering economics or a closely related field.

Required Experience
One (1) year of full-time directly related progressively responsible experience in a professional capacity requiring a high degree of skill in data modeling and inference or related experience (Senior Analyst).
One (1) year of full-time directly related progressively responsible experience working with Python or related experience (Senior Analyst).
Three (3) years of full-time directly related progressively responsible experience in a professional capacity requiring a high degree of skill in data modeling and inference or related experience (Associate).
Three (3) years of full-time directly related progressively responsible experience working with Python or related experience (Associate).
Experience may be concurrent.
Masters degree in a related field may substitute for one year of the required investment experience.
A Doctorate degree/PhD in computer science engineering finance mathematics/statistics physical sciences or a related area may substitute for five (5) years of the required experience.

Required Registration Certification Licensure
None

Preferred Qualifications
Full-time directly related progressively responsible experience in financial markets quantitative investing and fundamental investing (or strong interest in the aforementioned).
Masters degree or Doctorate degree/PhD in economics statistics mathematics computer science engineering financial engineering or a related field.

Knowledge of:
Statistics/Econometrics Computer Science/Machine Learning and advanced mathematical foundations (Linear Algebra Calculus Probability).
Quantitative code development with fluency in Python or a related programming language version control and collaboration tools (GitHub).
Investment concepts terminology styles models strategies and fundamental investment factors.

Skills in:
Conducting data searches and evaluations of large amounts of information performing complex statistical analysis of the data and preparing concise and accurate reports and written/oral recommendations.
Planning organizing and prioritizing work assignments to manage a high-volume workload in a fast-paced and changing environment and complete detailed work with a high degree of accuracy.
Verbal and written communication of complex information that is accurate timely and based on sound judgment.

Ability to:
Work collaboratively in an applied quantitative investment research environment.
Drive quantitative investment research projects through to completion under supervision of senior investment professionals.