Senior Consultant, Financial Services Model Development and Risk Analytics

Location: Fully remote within the United States, supporting Eastern Time business hours; rare travel to New York may be requested.

Contract-to-hire role with an initial six-month contract and potential conversion to client employment; 40 hours per week.

Company

hirify.global delivers outsourced services and workforce solutions across North America.

What you will do

• Develop, enhance, test, validate, and implement quantitative, statistical, risk, and analytical models.
• Use Python to clean, transform, reconcile, analyze, and evaluate complex financial datasets.
• Perform exploratory data analysis, feature engineering, and model-performance evaluation.
• Review model inputs, assumptions, methodologies, outputs, limitations, and data quality.
• Build reusable Python code, analytical routines, and data-processing workflows.
• Support model documentation, governance, validation, risk management, compliance, and regulatory activities while communicating findings to technical and nontechnical stakeholders.

Requirements

• Three to five years of relevant experience in quantitative analytics, data science, model development, model validation, or financial risk analytics.
• Strong hands-on Python programming and experience working with large or complex datasets.
• Experience developing, testing, implementing, enhancing, or evaluating quantitative or statistical models.
• Experience in banking, financial services, fintech, insurance, or another highly regulated financial environment.
• Exposure to risk management, compliance, model governance, regulatory requirements, audit controls, or related control functions.
• Ability to work remotely from the United States while supporting Eastern Time business hours.

Nice to have

• Experience with pandas, NumPy, scikit-learn, statsmodels, PySpark, or similar tools.
• SQL experience with financial or risk-related data.
• Knowledge of forecasting, regression, classification, machine learning, anomaly detection, backtesting, calibration, or threshold analysis.
• Experience with model-performance metrics, data lineage, controls, validation results, or monitoring procedures.
• Experience with credit risk, fraud, AML, KYC, sanctions, fair lending, or regulatory reporting.

Culture & Benefits

• Consulting environment with independent ownership of deliverables and project deadlines.
• Collaboration with business, risk, compliance, data, and technical stakeholders.
• Eligible employees may receive medical, dental, vision, spending account, life insurance, and voluntary plan options.
• Eligible employees may participate in a 401(k) plan.