HedgeMark Quant Analyst
Data Management and Quantitative Analysis - IC3 Under moderate guidance, works with internal and external datasets and client reference data and provides analysis in the development statistical, financial and/or econometric models for analyzing asset performance, securities data, derivative pricing, risk exposure or other sophisticated concepts. Provides analytical support and prepares drafts of standard and ad hoc reports for assigned area. With moderate guidance, supports assigned area with more advanced statistical and quantitative analyses. Serves as resource to less experienced colleagues. Runs models, looks for exceptions, takes corrective action. Uses technology tools to conduct analyses. Applies techniques such as SQL and querying and macro development to extract data for populating models. Has a good understanding of the relevant processes and products in assigned area and which analyses, methodologies and approaches best support assessment of performance, risk, or valuation. Interprets findings and prepares initial drafts of standard reports. Prepares ad-hoc reports at the request of managers and/or other leaders. Translates complex technical concepts and analyses to non-technical audiences. Reviews accuracy of reports and calculations performed by less experienced colleagues. No direct reports. Provides guidance to more junior analysts. Primarily responsible for the accuracy and quality of own work. Work contributes to the achievement of team goals. Bachelors degree or the equivalent combination of education and experience. Advanced degree in quantitative analysis preferred. 5-7 years experience preferred. Experience in quantitative finance and technology preferred.
- Bachelor's Degree required or commensurate business experience.
- 2-4 years of risk management experience, and or investment industry experience.
- Advanced knowledge of risk analytics (Value at Risk, stress testing, sensitivity analysis), performance measurement and investment analytics methodologies, capital markets theory,
- Advanced understanding of the dynamics of various investment strategies used by large institutional investors
- Very strong communication and interpersonal skills, both verbal and written are necessary
- CFA, FRM, CAIA (or candidate) preferred
- Advanced degree in quantitative analysis preferred
- Working or Advanced knowledge of Python, R, and Tableau preferred