Principal Consultant – Analytics & Credit Strategy (Client Facing)

Posted 16 Days Ago
Hiring Remotely in United States
Remote
Mid level
Big Data • Marketing Tech • Analytics
The Role
The Principal Consultant delivers client-facing analytics and credit strategy, working closely with clients to solve business problems using data and analytics. They translate client goals into analytical workflows, support model development, and produce client-ready deliverables, ensuring compliance with data governance.
Summary Generated by Built In
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.

Top Skills

Looker
Power BI
Python
SQL
Tableau
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The Company
HQ: Costa Mesa, CA
16,292 Employees
Year Founded: 1980

What We Do

Experian unlocks the power of data to create opportunities for consumers, businesses and society.

During life’s big moments – from buying a home or car, to sending a child to college, to growing a business exponentially by connecting it with new customers – we empower consumers and our clients to manage data with confidence so they can maximize every opportunity.

We gather, analyse and process data in ways others can’t. We help individuals take financial control and access financial services, businesses make smarter decision and thrive, lenders lend more responsibly, and organizations prevent identity fraud and crime.

For more than 125 years, we’ve helped consumers and clients prosper, and economies and communities flourish – and we’re not done.

Our 20,600 people in 43 countries believe the possibilities for you, and our world, are growing. We’re investing in new technologies, talented people and innovation so we can help create a better tomorrow.


About Experian:

Bringing data to life requires creativity, passion, flexibility and expertise.

We want you to share in our success. That's why we offer rewards that recognise great performance.

Working in a culture of collaboration, achievement and respect we will give you the support and encouragement you need to develop your skills and talents and progress your career.

Everyday our people bring enthusiasm, innovation and inspiration to work and if this sounds like you connect with us at Experian.

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