10 - 15 years
10 - 15 Lacs
Posted:1 week ago|
Platform:
On-site
Full Time
Lead cross-functional efforts to devise and maintain scalable, automated solutions to prepare, update, and enhance our marketing collateral Engage with portfolio managers, technologists, and strategists to maintain and enhance the suite of analytics consumed by the broader QIS CPM Team. Work closely with the investment team to gain investment insights to be used in our marketing collateral and identify and research custom client solutions. Analysis including data exploration, backtests, carve-outs, performance attribution, competitive analyses, peer group analyses and overall market research. Drive the QIS CPM python repository and review new code and updates prepared by junior members of the team Serve as product expert on Quantitative investment strategies to both internal and external clients, preparing performance reports, performance commentaries, client request for proposals and client due diligence questionnaires Provide guidance, mentorship, and motivation to the junior members of the team on the more technical elements of quant investing, optimizations, model insights, etc Thrive in a fast-paced environment, balancing multiple projects in parallel Basic Qualifications : Quantitative orientation; finance and statistics knowledge; Experience and background with quantitative investment strategies preferable Excellent verbal, presentation and written communication skills Computer programming background or experience (experience with a programming language such as C / C++, Java, Python, R, and/or MATLAB) Strong multi-tasking skills and ability to work in a fast-paced environment Thrives in a team-oriented and collaborative environment Strong interest in the financial markets and good investment sense/commercial instinct Outstanding attention to detail Organized and deadline driven. Disciplined approach to following up, timeliness, and seeing projects through to completion. Strong PowerPoint and Excel skills Creativity and problem-solving skills
Goldman Sachs
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