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Senior Fraud Strategy Analyst

2 weeks, 6 days ago
Anywhere
Full-time
Senior
Business Analyst
Data Science and Analytics
dbt Looker Machine Learning Python R Snowflake SQL
Apply Now
Puck

Puck

Puck helps great teams find great teammates through employer branding, conversations, and authentic candidate engagement, using personalized automation to enhance the candidate experience and improve hiring metrics.

Internet Software & Services
1-10
Founded 2020
View All Jobs 11

Description

  • Design, develop, and optimize fraud strategies for personal loans and student loan refinance products.
  • Monitor portfolio performance to identify emerging fraud trends, risks, and optimization opportunities.
  • Develop and deploy fraud rules and strategies using segmentation, statistical analysis, and predictive modeling.
  • Own end-to-end fraud mitigation processes and be accountable for fraud loss reduction and performance outcomes.
  • Design and execute A/B tests and champion/challenger frameworks to evaluate strategy effectiveness.
  • Build and maintain scalable analytical frameworks using tools such as Snowflake and dbt.
  • Develop dashboards and reporting to track KPIs such as fraud rate, approval rate, and false positives.
  • Generate actionable insights from structured and unstructured data, including limited or noisy datasets.
  • Partner with Product, Engineering, Risk, Operations, and external vendors to implement fraud solutions.
  • Support the model development lifecycle, including design, validation, and production deployment.

Requirements

  • Bachelor’s degree in a quantitative field such as Statistics, Engineering, Analytics, or Economics; Master’s preferred.
  • 4+ years of experience in fraud risk, credit risk, or customer risk management within a financial institution or fintech.
  • 3+ years of hands-on experience with SQL, Python, or R for data analysis and modeling.
  • 3+ years of experience designing and implementing fraud strategies for unsecured lending products such as personal loans.
  • Strong analytical and problem-solving skills with attention to detail.
  • Ability to translate complex data into clear, actionable insights.
  • Effective communication skills and experience influencing cross-functional stakeholders.
  • Self-starter with a high degree of ownership, curiosity, and adaptability.
  • Experience with machine learning models such as logistic regression, tree-based models, or anomaly detection is preferred.
  • Familiarity with fraud typologies such as synthetic identity, first-party fraud, or account takeover is preferred.
  • Knowledge of regulatory frameworks and risk controls such as fair lending and model governance is preferred.
  • Experience with experimentation frameworks and decision systems is preferred.
  • Exposure to modern data stack tools such as dbt and Snowflake, and BI tools such as Looker is preferred.

Benefits

  • Competitive base salary range of $124,000 to $155,000 USD.
  • Health, dental, and vision benefits plus savings plans.
  • Mac computers and a work-from-home stipend to set up your home office.
  • Monthly internet and phone reimbursement.
  • Employee Stock Purchase Plan and Restricted Stock Units (RSUs).
  • 401(k) plan with company match.
  • Robust tuition reimbursement program.
  • $1,000 travel perk on each Earnie-versary.
  • Competitive days of annual PTO.
  • Competitive parental leave.

Interested in this position?

Apply directly on the company website

Apply Now

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