Back
Strong global brand, remote option, mid-level generalist role, metro location, and broad common skillset drive high competition.
Role demands credit-bureau and consumer-credit domain expertise, limiting cross-industry transferability.
Explicit 6+ years, mandatory financial services experience, and required statistical/programming skills make screening stringent.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Develop and support credit risk management and business intelligence analytic solutions for B2B clients globally including credit card, auto & mortgage lenders, collections, and retail banks.
Lead analytic engagements using descriptive and prescriptive techniques over consumer lending portfolios and deliver actionable insights and executive-level presentations.
Write and manage data extraction and statistical programs using R, Python, SQL, Hive, and Spark on big data and cloud platforms.
Bachelor's degree in statistics, applied math, financial math, engineering, operations research or highly quantitative field.
Minimum 6 years of professional experience in analytics within Financial Services, consumer credit, or related industry.
Proficiency in statistical programming languages (R required), and experience with SQL, Hive, Python, or similar data manipulation languages.
Ability to travel 10-20%; remote work with occasional in-person attendance as required.
Experienced in credit risk analytics with familiarity in credit bureau data and business practices.
Comfortable operating with moderate supervision in a complex, matrixed, global environment with multiple project management demands.
Skilled at partnering across internal and external teams to drive business initiatives and long-term value delivery to B2B clients.