Reach Financial, LLC
Job Duties
Perform data analysis across various marketing channels to optimize credit risk, origination volume and funnel conversion.
Utilize statistical and segmentation tools to develop data driven business strategies for personal loan products, that balances volume and risk-return targets.
Retrieve data and conduct data driven analytics from internal database and external vendor data, utilizing various analytical tools, software and techniques.
Forecast delinquency and loss curves for consumer lending products.
Develop processes and tools to track, analyze and report monthly portfolio performance of various acquisition channels & drive credit insights.
Present the analyses, findings and recommendations to stakeholders across the organization.
Execute on a wide range of analyses- descriptive measurement and reporting, dashboarding, ad hoc inquisitive problem solving and predictive forecasting.
Help design experiments & A / B test different credit & marketing strategies, create data-backed recommendations to balance credit risk & volume to help make strategic business decision.
Collaborate and work with cross functional team including data science, marketing, product and operations.
Own a key area of analytics, including completing tasks on schedule and being a subject matter expert on said area
Extract insight or detect issues from analysis independently This position allows for a hybrid schedule with three (3) days in office and two (2) days remote.
Requirements
Master’s degree (or foreign equivalent) in Mathematics, Statistics, Econometrics, Operation Research, Computer Science, or related field and four (4) years of experience is required. Must have at least four (4) years of experience with :
SQL and Snowflake
Experience using credit bureau (Experian, TransUnion, Equifax) data and risk models built using that data to create underwriting guidelines, set risk tiers, and determine pricing
Experience modeling cash flows (profit and loss modeling) for installment loan products, including loss forecasting and population segmentation
Installment Loans and Consumer Lending Products Must have at least two (2) years of experience with Python to manipulate data and draw insights from large data set. Salary $181,000.00 – 191,000.00 per year
Apply at : https://www.reach.com/corporate/careers, reference ID # 282. Reach Financial, LLC is an EEO / AA employer. No calls.
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Perform data analysis across various marketing channels to optimize credit risk, origination volume and funnel conversion.
Utilize statistical and segmentation tools to develop data driven business strategies for personal loan products, that balances volume and risk-return targets.
Retrieve data and conduct data driven analytics from internal database and external vendor data, utilizing various analytical tools, software and techniques.
Forecast delinquency and loss curves for consumer lending products.
Develop processes and tools to track, analyze and report monthly portfolio performance of various acquisition channels & drive credit insights.
Present the analyses, findings and recommendations to stakeholders across the organization.
Execute on a wide range of analyses- descriptive measurement and reporting, dashboarding, ad hoc inquisitive problem solving and predictive forecasting.
Help design experiments & A / B test different credit & marketing strategies, create data-backed recommendations to balance credit risk & volume to help make strategic business decision.
Collaborate and work with cross functional team including data science, marketing, product and operations.
Own a key area of analytics, including completing tasks on schedule and being a subject matter expert on said area
Extract insight or detect issues from analysis independently This position allows for a hybrid schedule with three (3) days in office and two (2) days remote.
Requirements
Master’s degree (or foreign equivalent) in Mathematics, Statistics, Econometrics, Operation Research, Computer Science, or related field and four (4) years of experience is required. Must have at least four (4) years of experience with :
SQL and Snowflake
Experience using credit bureau (Experian, TransUnion, Equifax) data and risk models built using that data to create underwriting guidelines, set risk tiers, and determine pricing
Experience modeling cash flows (profit and loss modeling) for installment loan products, including loss forecasting and population segmentation
Installment Loans and Consumer Lending Products Must have at least two (2) years of experience with Python to manipulate data and draw insights from large data set. Salary $181,000.00 – 191,000.00 per year
Apply at : https://www.reach.com/corporate/careers, reference ID # 282. Reach Financial, LLC is an EEO / AA employer. No calls.
#J-18808-Ljbffr