Senior Data Analyst - Risk & Credit
$120k - $140kRobert Half
Position: Senior Data Analyst - Risk & Credit Location: RemoteSalary: $120-140K base + bonus + exceptional benefits*** For immediate and confidential consideration, please APPLY and EMAIL YOUR RESUME to MEREDITH CARLE . My email can be found on my LinkedIn page. ***Senior Data Analyst - Risk & CreditRemote | $120K-$140K + BonusWe're seeking a data-driven analyst who can turn complex data into business insights that improve credit performance, manage risk, and support strategic decision-making. This is a highly visible role working with large datasets and business leaders across the organization.What You'll Do • Extract, cleanse, and analyze large datasets using SQL • Create and modify complex custom predictive models • Perform ad hoc analyses related to credit risk, fraud, and portfolio performance • Create reports, dashboards, and performance monitoring tools • Identify trends, opportunities, and emerging risks • Support predictive model monitoring and risk initiatives • Present analytical findings to business stakeholdersWhat We're Looking For • 6+ years of data analytics, business analytics, or risk analytics experience • Experience with predictive analytics or statistical modeling • Advanced SQL skills • Prior FinTech, payments, lending, banking, or credit risk experience required • Strong analytical, problem-solving, and communication skills • Experience with Snowflake, Python, SAS, Tableau, ThoughtSpot, or similar tools preferredIdeal Background: Data Analyst, Credit Risk Analyst, Portfolio Analyst, Fraud Analyst, Risk Analyst, or Business Analyst within a FinTech, payments, lending, or banking environment.*** For immediate and confidential consideration, please APPLY and EMAIL YOUR RESUME to MEREDITH CARLE . My email can be found on my LinkedIn page. Also, you may contact me at View phone number on click.appcast.io. Or one click apply on our Robert Half website. No third party inquiries please. Our client cannot provide sponsorship and cannot hire C2C. ***
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