Model Governance Data Scientist – Risk & Analytics

TransUnion LLC

Reston (VA)

Hybrid

USD 79,000 - 131,000

Full time

3 days ago
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Benefits offered by this job

Health insurance
401(k) with employer match
Employee Stock Purchase Plan (ESPP)
Tuition reimbursement
Paid time off
Commuter benefits

Job summary

TransUnion LLC is seeking a data science professional to support model risk management, governance, and analytics across large datasets. The role involves collaboration with Legal, Compliance, and stakeholders, with a hybrid work arrangement requiring in-person presence at a TransUnion office location for at least two days a week.

Responsibilities include building data extraction and analysis programs (R, Python, SQL, Hive, Spark) and developing training materials related to model risk

Qualifications

  • Bachelor's degree in statistics, applied mathematics, financial mathematics, engineering, operations research, or another highly quantitative field.
  • At least four years of professional analytical experience in financial services, consumer credit, or related industry.
  • Strong written and verbal communication skills for diverse stakeholders.

Responsibilities

  • Design and write programs for data extraction, segmentation, and statistical analysis of large datasets.
  • Maintain model risk management documentation and governance artifacts.
  • Develop and manage the annual model validation plan and training materials.

Skills

R
Python
SQL

Education

Bachelor's degree in a quantitative field

Tools

Hive
Spark

Job description

TransUnion LLC is seeking a data science professional to support model risk management, governance, and analytics across large datasets. The role involves collaboration with Legal, Compliance, and stakeholders, with a hybrid work arrangement requiring in-person presence at a TransUnion office location for at least two days a week.

Responsibilities include building data extraction and analysis programs (R, Python, SQL, Hive, Spark) and developing training materials related to model risk

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