Job Summary

Synechron is seeking a seasoned Credit Risk Modeling Specialist to lead the development, implementation, and validation of credit scoring models that support risk management and strategic decision-making. This role involves leveraging advanced statistical techniques, data analysis, and regulatory best practices to build transparent, reliable, and predictive scorecards. The successful candidate will collaborate with cross-functional teams to ensure models meet governance standards, regulatory requirements, and business needs.

Software Requirements

Required:

Hands-on experience with SAS (preferably latest versions) for model development and validation.
Proficiency in Python, R, and SQL for data analysis, feature engineering, and model validation.
Strong understanding of statistical modeling techniques, including logistic regression, WOE/IV transformation, and scorecard binning.
Experience in developing models for retail banking products such as personal loans, credit cards, auto loans, or mortgages.
Familiarity with model governance processes, documentation standards, and regulatory frameworks (Basel, IFRS9, CB guidelines).

Preferred:

Exposure to cloud platforms (AWS, Azure) for model deployment or data management.
Knowledge of data visualization tools like Power BI or Tableau to present model insights.
Familiarity with automated model monitoring and model performance tracking tools.

Overall Responsibilities

Design, develop, and maintain credit risk scorecards supporting retail lending and risk assessments.
Perform data extraction, feature engineering, and model training using Python, R, and SQL to support model performance and interpretability.
Conduct rigorous model validation, stress testing, and backtesting in compliance with internal standards and regulatory guidelines.
Document model development lifecycle, including assumptions, data sources, and technical specifications.
Collaborate with risk policy, credit underwriting, and risk management teams to translate business requirements into effective models.
Monitor and evaluate model performance, implementing recalibrations and updates as necessary.
Stay current with industry regulations, best practices, and emerging techniques in credit risk modeling.

Expected outcomes:

Robust, compliant, and transparent credit risk models that balance risk appetite with business profitability.

Technical Skills (By Category)

Programming Languages:

Essential: SAS, Python, R
Preferred: Java, SQL

Data & Data Management:

Knowledge of data extraction, feature engineering, and data validation workflows, supporting large datasets.

Modeling & Analytics:

Expertise in logistic regression, WOE/IV transformations, variable selection, scorecard development, and model calibration.

Cloud Technologies:

Preferred: AWS or Azure environments for data deployment or management.

Frameworks & Libraries:

Essential: scikit-learn, statsmodels, SAS enterprise miner, and equivalent modules for modeling.

Model Governance & Validation:

Experienced in model documentation, audit trail creation, and validation reporting following regulatory standards (e.g., IFRS9, Basel).

Experience Requirements

Minimum of 5+ years supporting credit risk modeling, scorecard development, or related fields within financial institutions.
Extensive experience developing, validating, and maintaining risk scorecards for retail lending.
Proven ability to interpret large datasets, build predictive models, and document model lifecycle for audits.
Experience with model governance practices and regulatory compliance is essential.
Industry experience in banking, consumer finance, or FinTech is strongly preferred; relevant academic or research background is acceptable.

Day-to-Day Activities

Develop and refine credit risk scorecards and models, utilizing SAS, Python, and R.
Conduct feature extraction, variable transformation, and model calibration activities.
Perform validation, backtesting, and stress testing of models to ensure accuracy and compliance.
Document all aspects of the model development and validation lifecycle.
Collaborate with risk and credit teams to implement models into operational systems and reporting frameworks.
Monitor ongoing model performance, recommend recalibrations, and support model governance processes.
Prepare detailed reports and presentations for internal and external audits and regulatory reviews.

Qualifications

Bachelor's or Master's degree in Statistics, Mathematics, Data Science, Economics, or related disciplines.
7+ years of experience supporting credit risk analytics and scorecard development.
Demonstrable expertise with SAS, Python, R, and SQL in developing scalable credit models.
Knowledge of financial regulations and compliance standards affecting model development.
Strong communication skills for stakeholder engagement and regulatory reporting.

Professional Competencies

Critical thinking and advanced analytical capabilities to interpret data and model results.
Leadership skills to guide junior analysts and ensure model quality.
Effective stakeholder management and communication abilities.
Adaptability to evolving regulatory standards, industry techniques, and data sources.
Ownership and accountability for model integrity, accuracy, and compliance.
Excellent organizational and time management skills to handle multiple projects effectively.

S YNECHRON'S DIVERSITY & INCLUSION STATEMENT

Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative Same Difference is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.

All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant's gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.

Candidate Application Notice

Credit Risk Scorecard Developer | SAS, Python, SQL | Regulatory Compliance & Model Validation