Product Analyst - Data Quality - Enterprise Data
: Job Details :

We are Bloomberg Enterprise Data - fast paced, innovative and expanding! We partner closely with our clients, taking time to understand their unique businesses and individual data and financial technology (FinTech) needs. Our endless selection of datasets, covering all asset types, with multiple delivery technologies and flexible scheduling enables our clients to get exactly the data they need, when they need it, in the format they prefer. Put simply, our award-winning data powers the capital markets.We are looking for a Product Analyst in Enterprise Data to closely interact and work with various stakeholders to be the gatekeeper and ensure the data quality for product development, launch and enhancement. You will use your quantitative skills, knowledge of finance, and technical skills to conduct data analysis, anomaly detection for our most innovative products. This includes, but is not limited to reference & pricing, company fundamentals, sustainable finance solutions, Risk & Investment analytics products and other Bloomberg Data License products. Well trust you to:- Conduct time series data anomaly detection for patterns in existing product, provide solution to detect abnormal trending in data (for example coverage drop, missing value, data change and ect), backtesting model performance- 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/bugfixes - Conduct product usage analysis to improve data product offerings - Contribute to scaling team activities through automation like monitoring daily production data generation.Youll need to have:- Bachelors or Masters degree in quantitative discipline (financial engineering, statistics, computer science, finance, engineering, etc)- 1-3 years of experience working with model development for time series data anomaly detection- Hands on experience in analytical fields such as data science, quantitative analysis, data visualization, data mining, anomaly detection and data validation- Financial knowledge in different asset classes like equity, fixed income, mortgages, muni, futures, options - 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- Experience working with clients, business managers or product managers in identifying their needs and taking proactive steps to effectively communicate project processes