Remote Risk Data Sourcing Lead

remote work

United States

Remote

USD 120,000 - 170,000

Full time

3 days ago
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Benefits offered by this job

Relocation support
Flexible work from offices or remote
Healthcare Coverage
Education Budget
Wellness Budget
Vacation Policy

Job summary

remote work seeks a Risk Data Source Lead to own sourcing, evaluation, and integration of data into risk decisioning. The role coordinates with Data Science, Modeling, and IT, driving a disruptive agenda in data sourcing.

The ideal candidate has strong vendor relationships, proven cross-functional delivery, and solid analytics knowledge with SQL and Python. English proficiency for international collaboration is required.

Qualifications

  • Vendor and partnership management experience.
  • Cross-functional project delivery without direct authority.
  • Understanding of data analytics fundamentals.
  • Knowledge of SQL and Python.
  • English proficiency for international teams.

Responsibilities

  • Own end-to-end relationship with external data vendors: sourcing, negotiating, contracts.
  • Drive cross-functional projects to integrate data sources into production with Data Science, Modeling, and IT teams.
  • Define and track KPIs for data sourcing to cut costs or improve model quality.
  • Manage relationships with key stakeholders to align priorities and unblock delivery timelines.
  • Build and maintain visibility into the vendor pipeline—costs, coverage, and impact of data sources.

Skills

Vendor management
Project management
Data analytics
SQL
Python
English proficiency

Education

Bachelors in STEM/Finance/Economics
Master's degree advantageous

Job description

remote work seeks a Risk Data Source Lead to own sourcing, evaluation, and integration of data into risk decisioning. The role coordinates with Data Science, Modeling, and IT, driving a disruptive agenda in data sourcing.

The ideal candidate has strong vendor relationships, proven cross-functional delivery, and solid analytics knowledge with SQL and Python. English proficiency for international collaboration is required.

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