Senior Business Analyst - Anti-Money Laundering (AML) Modeling
Capital One
🔍 Observed
66
Hiring Activity Score
Likely Active (65-79)
- Base score
- Posted 7 days ago
- has location, quality description (7958 chars)
- 4 skills
- Direct ATS (workday)
Chicago, IL
First seen 1 week ago
Last seen 1 hour, 16 minutes ago
Workday
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Try Direct Link (may be expired)Job Description
AI Summary
• Develop and deploy machine learning models for anti-money laundering (AML) detection using AWS, Snowflake, Python, and Spark to identify money laundering, terrorist financing, and human trafficking risks.
• Apply advanced analytical and statistical techniques to solve major business challenges, make strategic recommendations, and support credit risk, product, and marketing initiatives across the organization.
• Lead end-to-end model development lifecycle including testing, deployment, monitoring, and implementation with strong problem-solving, quantitative analysis, and decision-making skills.
• Collaborate cross-functionally with IT, Operations, Finance, Sales, and other teams to drive improvements in quality, volume, service, and profitability.
• Bring strategic thinking, business judgment, integrity, and exceptional written/oral communication skills to influence stakeholders and lead transformational projects in a collaborative, innovation-focused environment.
Skills
aws
go
python
sql
Quick Actions
Job Information
-
Company:
Capital One -
Location:
Chicago, IL -
Job Type:
Full-Time -
Experience Level:
Mid -
Source:
Workday -
Status:
Active
Activity Score
66
/100
Likely Active (66)
Higher scores indicate more likely active hiring based on listing freshness, company activity, and other signals. Learn more →
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