Intermediate Quant Analyst

  • Competitive
  • New York, NY, USA
  • Permanent, Full time
  • Bank of America Corporation
  • 20 Oct 18

Intermediate Quant Analyst

Job Description:

Intermediate Quant Analyst

Assists more senior quantitative analysts in assembling and reviewing data, conducting statistical analyses, and building and refining econometric and quantitative models often utilizing advanced math. Develops the knowledge and skills necessary for investment analysis and research. Works under the direct supervision of management. Up to 2 yrs of research experience. Typically an entry level research position for graduates in quantitative disciplines (Master's degree or higher) with limited relevant work experience.

The primary objective of the role is to create, enhance, implement and maintain quantitative models for a broad range of investment analytics including goals based wealth management, asset allocation, portfolio analytics, risk analytics and performance analytics. The successful candidate must be a strong, influential, and results oriented analytical problem solver and team player, who can develop and manage relationships across the company and with a wide variety of partners based on trust, teamwork and knowledge.

Required Experience

  • Graduate level academic training in a quantitative discipline, such as Financial Engineering / Statistics/ Operations Research/ Econometrics.
  • Interest in statistical modeling and its application to finance, portfolio optimization, analysis of active investment strategies
  • Ability to program in high-level languages (such as Matlab, R and XL/VBA)
  • Able to work in a fast-paced and challenging environment; a team-player
  • Innovative problem solving skills with proactive initiative for prototyping and proof of concept while evaluating alternative solutions
  • Strong verbal and communications skills
  • Masters' degree in Financial Engineering/Computational Finance preferred
  • Ability to be self-motivated and a desire to learn new skills and products
  • Proficiency with tools such as Factset, Barra, Risk Metrics, and Morningstar Direct
  • Series 7, 63 and 65 (or Series 7 and 66) required (may gain licenses after start - unlicensed candidates may be considered if willing to obtain licenses after start date)


Shift:
1st shift (United States of America)

Hours Per Week:
40