RESPONSIBILITIES

·       Work directly with a Senior Quantitative Researcher and Risk Managers working on data analytics projects using Python for exploratory data analysis, modeling, visualization, performance evaluation and report generation

·       Research and deliver insights related to portfolio/ firm risk exposures, portfolio construction, and quantitative analysis of the investment process

·       Improve framework for models related to analyzing risk, portfolio construction, investment process, trading

QUALIFICATIONS & REQUIREMENTS

In order to effectively represent the Company and communicate with clients, must be someone who is:

·       Master’s or PhD students in Engineering, Computer Science, Quantitative Finance, Operational Research, Financial Engineering, Econometrics, Mathematics, Statistics, Machine Learning or related field

·       Well-rounded students with an outstanding track record of academic achievement, broad based extra-curricular interests and a passion for financial markets

The ideal candidate for the position will be someone who has or is interested in:

·       Solid programming skills (Python experience required)

·       Comfortable working with complex and large datasets

·       Experience with financial/ portfolio management concepts and quantitative methods

·       Strong problem solving skills and ability to identify and implement appropriate solutions

·       Outstanding track record of academic achievement, and a strong interest in financial markets

·       Result driven attitude, ability to work under pressure, and desire to work collaboratively within a team

·       High standard of professionalism in all situations

·       Ability to prioritize and manage multiple tasks and projects concurrently to meet/exceed deadline

·       Ability to communicate complex ideas clearly; solid analytical, writing, verbal, technical skills

·       Outstanding attention to detail and strong organization skills