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Senior Quantitative Analyst

Employer
William Blair
Location
Chicago, Illinois
Salary
Competitive - Based on experience
Closing date
Dec 30, 2023

View more

Job Function
Equities Research: Buy Side, Other
Industry Sector
Asset Management
Employment Type
Full Time

We are seeking a Senior Quantitative Analyst to collaborate with team of researchers, developers and portfolio managers to improve the methodology behind models, code and infrastructure that support fundamental research. Specific responsibilities include:

  • Collaborate with team of researchers, developers and portfolio managers to improve the methodology behind models, code and infrastructure that support research, with focus on alpha generation, portfolio construction, and implementation.
  • Establish, direct and conduct research projects that may include including model building, signal generation, strategy backtesting, risk management and performance measurement. Lead the interpretation, presentation and implementation of results.
  • Develop and maintain research methodology and associated procedures and standards.
  • Collaborate with quantitative developers to translate research ideas into production software.
  • Improve models, code, tools, and infrastructure that support research.
  • Explore and evaluate new data sources and modeling techniques.
  • Continually develop knowledge of statistics, quantitative modeling techniques, programming, and finance in collaboration with other team members.
  • Ensure all activities are in compliance with applicable rules, regulations, policies and procedures.
  • Additional responsibilities as requested.

Qualifications: 

  • Bachelor’s Degree required; MS or PhD in financial engineering, statistics, applied math, computer science or related quantitative field preferred
  • 7+ years of industry experience required, including that as a quantitative analyst or comparable position
  • Ability to work with analysts and portfolio managers to reconcile research and development plans with broader business goals
  • Ability to provide thought leadership for a team of quantitative analysts and programmers
  • Excellent analytical skills, demonstrated from hands-on experience with quantitative methods, statistical analysis and data manipulation
  • Deep understanding of the theory and practice of portfolio construction, including asset selection, risk measurement, risk control, portfolio optimization, and performance evaluation
  • Experience with development concepts and tools such as software engineering, agile development, change management, application construction, and application deployment
  • Expert knowledge of R and Python for programming, statistics, and graphics, especially using packages for financial applications
  • Experience using SQL is a plus
  • Strong aptitude for working collaboratively in a team environment
  • Highly effective verbal and written communication skills

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