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 Financial 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.We’ll 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.
You’ll need to have:
3+ years of experience working with model development for time series data anomaly detection
Financial knowledge in different asset classes like equity, fixed income, mortgages, muni, futures, options
Programming skills in Python and SQL
Hands on experience in analytical fields such as data science, quantitative analysis, data visualization, data mining, anomaly detection and data validation
Attention to data integrity
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
Bachelors or Master’s degree in quantitative discipline (financial engineering, statistics, computer science, finance, engineering, etc)
Salary: 110000,225000,USD,AnnualBloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email amerrecruit@bloomberg.net
