Senior Manager- Credit Risk Model Data Support

Ready to shape the future of work
At Genpact we dont just adapt to changewe drive it. AI and digital innovation are redefining industries and were leading the charge. Genpacts AI Gigafactory our industry-first accelerator is an example of how were scaling advanced technology solutions to help global enterprises work smarter grow faster and transform at scale. From large-scale models to agentic AI our breakthrough solutions tackle companies most complex challenges.
If you thrive in a fast-moving tech-driven environment love solving real-world problems and want to be part of a team thats shaping the future this is your moment.
Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge operational excellence and cutting-edge solutions we help companies across industries get ahead and stay ahead. Powered by curiosity courage and innovation our teams implement data technology and AI to create tomorrow today. Get to know us at and on LinkedIn X YouTube and Facebook.
Inviting applications for the role of Senior Manager Credit Risk Model Data Support

In this role we are seeking a Senior Manager to support one of our banking client in their Credit Risk Model Development team with high-quality data infrastructure and analytics. This role involves working closely with quantitative modelers data engineering and IT teams to build and maintain data layers critical for developing and validating credit risk models including PD LGD EAD and stress testing models. The ideal candidate is expected to have a solid understanding of data modeling (non-quantitative) SQL and ETL processes along with a background in banking and familiarity with credit risk concepts.
Responsibilities
Work collaborate and coordinate with team members to fulfill the BA responsibilities from project initiation to post-implementation. Facilitate and drive project meetings with both business and technology teams
Engage with business stakeholders to gather analyze and document business requirements particularly related to portfolio management client lifecycle trading and risk reporting.
Support designing and maintaining conceptual logical and physical data models to support key business and regulatory initiatives.
Collaborate with data architects engineers and developers to implement business requirements
Collaborate with compliance and regulatory teams to ensure models meet regulatory standards (e.g. FATCA MiFID II Basel III).
Translate requirements into Business Requirement Document BRD Functional Requirement Document FRD and/or Minor Development Document MDD
Ensure data quality completeness and consistency through profiling validation and reconciliation processes.
Work with technology teams to build automated and scalable data pipelines using modern ETL/ELT tools.
Document data sourcing transformation logic and lineage for use in model documentation and regulatory review
Troubleshoot data issues and perform root cause analysis to support model development and remediation efforts.
Provide guidance on data availability and readiness to modelers risk managers and compliance teams.
Coordinate User Acceptance Testing with business user community and QA teams
Qualifications we seek in you!
Minimum Qualifications
Bachelors or Masters degree in Finance Information Systems Computer Science Data Analytics or related field.
Relevant experience in financial services with specific expertise in business analysis and data modeling.
Good understanding of capital markets products (OTC derivatives ETDs Bonds Futures)
Proficient in SQL for large-scale data extraction transformation and analysis.
Strong understanding of data modeling principles (dimensional relational) and how they support modeling workflows.
Experience working with ETL pipelines in support of risk data aggregation and transformation.
Familiarity with credit risk modeling concepts and datasets such as default history loan-level data credit bureau attributes and economic indicators.
Experience with data governance MDM metadata management and regulatory compliance.
Excellent communication and stakeholder engagement skills across business and technology teams.
Proven ability to translate complex financial concepts into technical specifications and data models.

Preferred Qualifications/ Skills
Familiarity with Agile / Scrum methodologies and tools such as JIRA and Confluence.
Experience in data warehousing ETL processes and data lake architecture.
Experience working with cloud-based data platforms (e.g. Snowflake GCP AWS Redshift Azure).
Exposure to tools like dbt Airflow Informatica Python or SAS for data transformation and orchestration.
Background in supporting wholesale and/or retail credit risk models within an investment banking or capital markets context.
Familiarity with internal risk taxonomies data aggregation standards (e.g. BCBS 239) and model documentation processes.

Why join Genpact
Be a transformation leader Work at the cutting edge of AI automation and digital innovation
Make an impact Drive change for global enterprises and solve business challenges that matter
Accelerate your career Get hands-on experience mentorship and continuous learning opportunities
Work with the best Join 140000 bold thinkers and problem-solvers who push boundaries every day
Thrive in a values-driven culture Our courage curiosity and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress
Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up.
Lets build tomorrow together.

Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race color religion or belief sex age national origin citizenship status marital status military/veteran status genetic information sexual orientation gender identity physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity customer focus and innovation.
Furthermore please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a starter kit paying to apply or purchasing equipment or training.