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Intern, Quantitative Risk Analyst

·       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
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