Principal Consultant – Analytics & Credit Strategy (Client Facing)

We are looking for a Principal Consultant to deliver client-facing 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.

Must Have

• Deliver client-facing analytics and credit strategy engagements.
• Solve complex business problems using data, analytics, and modeling insights.
• Translate technical work into practical, deployable strategies.
• Be the day-to-day 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.
• Contribute to the development of credit strategies, policy rules, and models.
• Conduct segmentation and performance deep dives to identify applicable client opportunities.
• Interpret model outputs and analytical findings, turning them into clear recommendations.
• Produce client-ready deliverables, including presentations, dashboards, summaries, and executive readouts.
• Present insights to client partners.
• Support Sales and Account teams with pre-sales analytics, POVs, and proposal inputs.
• Work with Data Science, Product, and Engineering teams to ensure client requirements are understood and delivered.
• Support post-implementation work such as monitoring, performance tracking, and strategy optimization.
• Ensure analytical work follows data quality, governance, and regulatory expectations.
• 3-6 years of experience in analytics, consulting, credit risk, or financial services.
• Proficiency in Python 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.
• Ability to convert analytical results into clear, business-focused recommendations.
• Experienced working directly with clients or partners in consulting or professional services.

Good to Have

• Experienced in credit risk, FinTech, or decisioning platforms.
• Familiarity with model performance metrics (AUC, KS, lift, stability, and bad-rate curves).
• Experienced supporting machine learning or scorecard-based model development.
• Exposure to visualization tools (Tableau, Power BI, Looker).
• Experienced supporting pre-sales, pilots, or proof-of-value engagements.

Perks & Benefits

• 20 Days Flexible Time Off
• DEI initiatives
• Work/life balance
• Development opportunities
• Authenticity
• Collaboration
• Wellness programs
• Reward & recognition
• Volunteering opportunities

Company Description

Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software.

We also assist millions of people to realize their financial goals and help them save time and money.

We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments.

We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com.

Job Description

We are looking for a Principal Consultant to deliver client‑facing 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.

You'll have opportunity to:

• Be the day‑to‑day 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 client‑ready 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 pre‑sales analytics, POVs, and proposal inputs.
• Work with our teams (Data Science, Product, Engineering) to ensure client requirements are understood and delivered.
• Support post‑implementation work such as monitoring, performance tracking, and strategy optimization.
• Ensure analytical work follows data quality, governance, and regulatory expectations.

Qualifications

• 3–6 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, business‑focused 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 bad‑rate curves).
• Experienced supporting machine learning or scorecard‑based model development.
• Exposure to visualization tools (Tableau, Power BI, Looker).
• Experienced supporting pre‑sales, pilots, or proof‑of‑value engagements.

Additional Information

Our uniqueness is that we celebrate yours. Experian's 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. Experian's people first approach is award-winning; World's 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 Experian's 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.