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Data Taxonomy/Data Governance Consultant(Asset Management Exp)

Remote:

Full Remote

Contract:

Full time

Experience:

Mid-level (2-5 years)

Work from:

United States

Offer summary

Qualifications:

Background in data management, Experience in Asset Management domain, Strong business and data analysis skills, Advanced SQL/Macro/Excel knowledge, Understanding of statistical concepts.

Key responsabilities:

Define and categorize data elements
Gather information on financial assets
Identify data gaps and standardize processes
Analyze and interpret reference data
Support users of data products

Ccube Startup https://www.ccube.com

11 - 50 Employees

See more Ccube offers

Job description

Your missions

Data Catalog Consultant ( Data Domain Taxonomy/Data Governance)

(Remote)
W2/Full Time Candidates Only

Having a strong background in data management, with a focus on developing and maintaining data domain taxonomies
Responsible for defining, organizing, and categorizing data elements in wealth/asset management domain
identifying relevant domain specific business terms, and adding them to a data governance platform, Collibra
should possess strong Data analysis as well as business analysis skills
Experience in Asset Management domain / Investment banking and/or any financial data product related to asset management is a must

Job Role & Responsibilities:-

Identify and categorize the type of financial assets / products based on reference data
Gather reference data information on parties, financial institutions, counterparties, etc. involved in any particular trade
Categorize similar types of deals / trades with similar reference data to ensure standardization
Identify gaps in data and information within and across organizational domains Map and catalog sector, cluster and domain data and information assets
Experience in Asset Management domain / Investment banking and/or any financial data product related to asset management is a must
Analyze, interpret, collate, and transform Reference data provided in a variety of format
Make sound, subjective decisions when interpreting information by utilizing subject matter expertise to infer, deduce and ultimately draw the right conclusions
Provide customer support for users of data products by resolving inquiries in a timely manner
Use UML & SQL / Programming language to analyze and interpret different data set
Writing BRDs as and when needed
Knowledge of software development life cycle is preferred
Experience working on Data Product technology / business programs is highly advantageous
Apply problem-solving skills to identify innovative work-flow efficiencies and process improvements resulting in increased accuracy levels, time to market and productivity
Help identify trends and causation of inaccurate and/or incomplete dat
Participate in ad hoc projects to optimize processes and/or improve the quality of the data set
Create charts, graphs, and presentations for leadership teams

Knowledge &; Experience-

Advanced SQL/Macro/Advanced Excel knowledge is preferred and would be added advantage
Proven experience in data analysis and prescriptive modelling
Strong understanding of statistical concepts and machine learning algorithms
Strong knowledge and understanding of the financial markets
Excellent oral and written communication skills
Must possess the ability to influence others Demonstrate reliability, flexibility, and attention to detail