Principal Consultant – Analytics & Credit Strategy (Client Facing)

We are looking for a Principal Consultant to deliver clientfacing analytics and credit strategy engagements across the credit lifecycle. You will work directly with clients to solve complex business problems using data analytics and modeling insights translating technical work into practical deployable strategies. You will be collaborative partnering with Data Science Product and Sales to guide measurable outcomes. You will report to the VP of Analytics Product Build Innovation and Scores. You will be fully remote.

Youll have opportunity to:

• Be the daytoday analytics partner for clients on credit strategy risk optimization and portfolio performance.
• Translate client goals into clear analytical questions project plans and structured workflows.
• Use Python and SQL to explore data validate hypotheses and support analytical workflows developed by Data Science teams.
• Contribute to the development of credit strategies policy rules and models across underwriting account management pricing and collections.
• Conduct segmentation and performance deep dives to identify applicable client opportunities.
• Interpret model outputs and analytical findings turning them into clear recommendations aligned with client goals and constraints.
• Produce clientready deliverables including presentations dashboards summaries and executive readouts.
• Present insights to client partners including risk analytics and business leaders.
• Support Sales and Account teams with presales analytics POVs and proposal inputs.
• Work with our teams (Data Science Product Engineering) to ensure client requirements are understood and delivered.
• Support postimplementation work such as monitoring performance tracking and strategy optimization.
• Ensure analytical work follows data quality governance and regulatory expectations.

Qualifications :

• 36 years of experience in analytics consulting credit risk or financial services.
• Proficiency in Python (Pandas NumPy basic modeling/visualization) for analysis.
• SQL skills for querying validating and analyzing large datasets.
• Familiarity with credit risk portfolio analytics and the credit lifecycle.
• Experienced working with scores attributes segments and performance metrics.
• Convert analytical results into clear businessfocused recommendations.
• Experienced working directly with clients or partners in consulting or professional services.
• Experienced in credit risk FinTech or decisioning platforms.
• Familiarity with model performance metrics (AUC KS lift stability and badrate curves).
• Experienced supporting machine learning or scorecardbased model development.
• Exposure to visualization tools (Tableau Power BI Looker).
• Experienced supporting presales pilots or proofofvalue engagements.

Additional Information :

Our uniqueness is that we celebrate yours. Experians culture and people are important differentiators. We take our people agenda very seriously and focus on what matters; DEI work/life balance development authenticity collaboration wellness reward & recognition volunteering... the list goes on. Experians people first approach is award-winning; Worlds Best Workplaces 2024 (Fortune Top 25) Great Place To Work in 24 countries and Glassdoor Best Places to Work 2024 to name a few. Check out Experian Life on social or our Careers Site to understand why.

Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is an important part of Experians DNA and practices and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work irrespective of their gender ethnicity religion colour sexuality physical ability or age. If you have a disability or special need that requires accommodation please let us know at the earliest opportunity.

Remote Work :

Yes

Employment Type :

Full-time