Senior Data Scientist, Model Risk & GenAI Governance

Hobbsnews

McLean (VA)

On-site

USD 197,300 - 225,100

Full time

14 days+
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Benefits offered by this job

Comprehensive health benefits
Financial benefits
Inclusive workplace

Job summary

Hobbsnews is hiring a Data Scientist for the Model Risk Office in McLean, VA. The candidate will utilize innovative data strategies, collaborate with various teams, and validate risk models. Ideal candidates should have a strong educational background in quantitative fields and experience in data analysis and machine learning.

This role involves working with large datasets and presenting complex findings to executives. Competitive salary and comprehensive benefits are offered, focusing on growth and technology advancements.

Qualifications

  • Experience performing data analytics (6 years for Bachelor's, 4 years for Master's, 1 year for PhD).
  • Experience utilizing open-source programming languages for large-scale data analysis.
  • Experience working with machine learning (1 year required).

Responsibilities

  • Identify and quantify risks associated with models with a cross-functional team.
  • Build machine learning models for governance and validation.
  • Present model risks to executives.

Skills

Open-source programming languages
Machine learning
Data analysis
Statistical modeling
Big Data

Education

Bachelor’s Degree in a quantitative field
Master’s Degree in a quantitative field
PhD in a quantitative field

Tools

Python
AWS
Relational databases
Vector databases
PyTorch

Job description

Hobbsnews is hiring a Data Scientist for the Model Risk Office in McLean, VA. The candidate will utilize innovative data strategies, collaborate with various teams, and validate risk models. Ideal candidates should have a strong educational background in quantitative fields and experience in data analysis and machine learning.

This role involves working with large datasets and presenting complex findings to executives. Competitive salary and comprehensive benefits are offered, focusing on growth and technology advancements.

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