Data Scientist - Anti-Money Laundering Analytics & Modeling

Location: In-office in Pittsburgh or Philadelphia, Pennsylvania; Wilmington, Delaware; Cleveland, Ohio; Charlotte, North Carolina; Austin, Texas; or Washington, DC, United States.

Base salary: $86,250.00–$172,500.00 per year, plus incentive eligibility.

Company

hirify.global is a banking and financial services company focused on customer solutions and enterprise risk management.

What you will do

• Extract actionable information from customer, account, transaction, structured, and unstructured data.
• Create datasets, perform data preparation and mining, conduct analysis, and build, monitor, document, and report on models.
• Develop AML strategies and statistical models using logistic regression, clustering, gradient boosting, neural networks, and other machine learning algorithms.
• Identify risk indicators and suspicious activity patterns, recommend improvements, and support analytical experiments for business and process optimization.
• Represent the modeling team in forums and communicate analytical results to senior executives, business partners, and other stakeholders.
• Collaborate with the first, second, and third lines of defense, data architects, analysts, engineers, visualization experts, model validation bodies, and implementation partners.

Requirements

• University or college degree and typically 3+ years of relevant or direct industry experience; a comparable combination of education, job-specific certifications, and experience may be considered in lieu of a degree.
• Master's degree or higher in a quantitative field.
• Experience with data mining and data preparation for machine learning models.
• Proficiency in statistical methods and tools, including experimental design, probability theory, and sampling.
• Expertise in building, scaling, and optimizing machine learning systems using recognized frameworks and algorithms.
• Strong programming skills in Python, PySpark, R, and/or SQL.
• Experience with model validation and model risk governing bodies, as well as productionizing models with implementation partners.
• Critical thinking, problem-solving aptitude, analytical rigor, ability to present complex technical concepts to non-technical stakeholders, project management skills, and strong cross-departmental teamwork.

Nice to have

• Experience in banking or financial services.
• Experience with anti-fraud and/or anti-money laundering modeling.
• Hands-on experience building AI/ML models, including neural networks.
• Experience with AWS, Google Cloud, or Azure.

Culture & Benefits

• In-office work environment with a supportive, inclusive workplace culture.
• Full-time benefits may include medical, dental, vision, life and disability insurance, HSA, 401(k) matching, pension, and stock purchase plans.
• Educational assistance, wellness programs, dependent care support, and adoption, surrogacy, and doula reimbursement may be available.
• Paid time off may include parental leave, up to 11 holidays, 9 occasional absence days, and 15–25 vacation days depending on career level and service.
• No employment visa sponsorship or STEM OPT participation is provided.