Data Science Expert - Emerging Fraud Risk Lead (Machine Learning)

Location: In-office in Birmingham, AL; Phoenix, AZ; Lakewood, CO; Strongsville, OH; Cleveland, OH; Pittsburgh, PA; or Dallas, TX

Base salary: $133,000–$217,700 per year, plus incentive eligibility.

Company

hirify.global is a financial services organization focused on delivering banking products and managing enterprise risk.

What you will do

• Establish and mature a scalable emerging fraud risk capability for credit card and lending products.
• Identify fraud threats, attack patterns, vulnerabilities, and early risk indicators before they create significant losses.
• Apply machine learning, anomaly detection, behavioral modeling, network analysis, and other data science techniques to investigate fraud.
• Design detection strategies, fraud signals, and control enhancements for operational implementation.
• Lead analytical initiatives using large-scale structured and unstructured data to improve fraud prevention.
• Partner with fraud, risk, product, strategy, monitoring, countermeasures analytics, and technology teams, presenting recommendations to senior leaders.

Requirements

• Experience in fraud analytics, data science, machine learning, or risk management, preferably in credit card, lending, or financial services.
• Advanced SQL and Python skills, including experience with Spark or PySpark and data science libraries.
• Hands-on experience developing, testing, validating, and deploying machine learning models using tools such as Scikit-learn, XGBoost, LightGBM, Pandas, and NumPy.
• Experience with anomaly detection, predictive modeling, clustering, behavioral analytics, and network or graph analysis.
• Strong statistics, experimentation, model validation, analytical problem-solving, communication, and stakeholder management skills.
• Employment visas are not sponsored, and STEM OPT participation is not supported.

Culture & Benefits

• In-office work environment with an emphasis on collaboration, inclusion, respect, and work-life balance.
• Medical, prescription, dental, vision, life insurance, and disability coverage options.
• 401(k) matching, pension, stock purchase plans, dependent care support, and family-related reimbursements.
• Educational assistance, wellness programs, paid holidays, absence days, parental leave, and 15–25 vacation days depending on career level.