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Experian

Principal Consultant – Analytics & Credit Strategy (Client Facing)

Posted 17 Days Ago
Remote
Hiring Remotely in United States
Mid level
Remote
Hiring Remotely in United States
Mid level
Client-facing Principal Consultant delivering analytics and credit strategy across the credit lifecycle. Translate client goals into analytical plans, use Python/SQL to analyze data, interpret model outputs, develop credit strategies, produce client-ready deliverables, support sales/pre-sales, and ensure governance and performance monitoring.
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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

Benefits/Perks:

  • Great compensation package
  • Core benefits including medical, dental, vision, and matching 401K
  • Flexible work environment, ability to work remote, hybrid or in-office
  • Flexible time off including volunteer time off, vacation, sick and 12-paid holidays
  • Explore all our exciting benefits here: https://yourexperianbenefits.com/cand-index.html

 

At Experian, our people and culture set us apart. We're deeply committed to creating an environment where everyone feels they belong and can excel. From inclusion and authenticity to work/life balance, development, wellness, collaboration, and recognition, we focus on what truly matters. Our people-first approach has earned us global recognition: World's Best Workplaces™ 2024 (Fortune Top 25), Great Place To Work™ 2025 in 26 countries, and Glassdoor Best Places to Work 2024, among others.

 

Want to see what life at Experian is really like? Explore Experian Life on social or visit our Careers Site.

 

Our compensation reflects the cost of labor across several U.S. geographic markets. The base pay range for this position is listed above. Within this range, individual pay is determined by work location and additional factors such as job-related skills, experience, and education. This position is also eligible for a variable pay opportunity and a comprehensive benefits package.

 

Experian is proud to be an Equal Opportunity Employer for all groups protected under applicable federal, state and local law, including protected veterans and individuals with disabilities. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.

Top Skills

Python,Pandas,Numpy,Sql,Tableau,Power Bi,Looker

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