Senior Data Management Professional - Data Quality, Portfolios

Key Skills

Big Data Technology, Data management, Data science techniques, Python Programming, SPARK Programming

Job Description

What’s the role?

The Portfolio’s team is looking for a highly motivated individual with a passion for finance, data, and technology to build and optimize our data product by developing and implementing our data quality strategy and quality assurance practices. As a Data Management Professional, you will help to develop our business outcome-based data strategies to optimize the value of data for our customers and improve data operations.

Responsibilities:

• Develop, refine, and implement the strategy for how to achieve best-in-class data quality for the Portfolio Holdings data product
• Perform data profiling and apply statistical methods to support data quality measurements
• Collaborate with subject matter authorities in Data, as well as colleagues in Product and Engineering, on roadmaps to improve data quality
• Lead projects globally to improve data quality for a variety of customer types and use cases
• Employ quantitative methods to advise and enhance on decision making capability in business planning, process improvement, and solution management
• Keep up with the industry trends, standards, and innovation in the data quality domain
• Work in a fast paced, multifaceted & collaborative setting

You’ll need to have:

• A BA/BS degree or higher in Computer Science, Mathematics, Finance or relevant data technology field, or equivalent professional work experience
• 4+ years’ experience in data analysis, financial market research, and/or information technology
• Sound understanding of data quality as a domain of data management (DAMA CDMP, DCAM certification a plus)
• Proven ability to conduct data profiling and data analysis (using Python is a plus) and visualize results
• Experience working with and analyzing time-series data in python
• Experience with anomaly detection techniques for both cross sectional and time-series data
• Experience working with Big Data technologies such as Apache Spark for analytical workflows and data on a terabyte scale a plus
• Solid ability to combine technical data science traits with good business insight
• Strong analytical abilities with passion for data and evidence-based decision-making

We’d love to see:

• Working knowledge of Mutual Funds, ETFs and shareholder filings and how they’re used by financial markets players
• Software development experience and knowledge of standard methodologies

Does this sound like you?

Apply if you think we're a good match! We'll get in touch to let you know what the next steps are.

Salary Range = 110000 - 170000 USD Annually + Benefits + Bonus

The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.