Perform data analysis on a large scale of datasets- Prepare exploratory data analysis including statistical and visual summaries, assess data and product quality, identify product weakness, and propose potential enhancements.- Communicate results to product managers and software developers- Collaborate with Product, Engineering and Sales teams on product delivery, task prioritization and product roadmap- Answer client questions and address client feedback in product enhancements/bug fixes- Conduct product usage analysis to improve data product offerings- Contribute to scaling team activities through automation like monitoring daily production data generation. You’ll need to have:- 3 years of experience working in analytical fields such as data science, quantitative analysis, data visualization, data mining, anomaly detection and data validation- Bachelor's or Master’s degree in a quantitative discipline (Financial Engineering, Statistics, Computer Science, Finance, Engineering, etc)- Financial knowledge in different asset classes like equities, fixed income, mortgages, munis, futures, options and ect.- Attention to data integrity- Programming skills in Python and SQL- Statistics and mathematical knowledge to perform quantitative analysis- Experience gathering, matching, and pre-processing large data sets from varied sources and of different characteristics-Working experience with clients , business managers or product managers in identifying their needs and taking proactive steps to effectively communicate project processes.