Staff Business Analyst - Credit Strategy

    • Intuit
  • Mountain View, CA
  • Posted 25 days ago | Updated moments ago

Overview

On Site
Full Time

Skills

Attention to detail
Financial technology
Business acumen
Customer acquisition
SQL
Big data
Credit risk
Data engineering
Product development
Market share
Strategy
QuickBooks
MailChimp
Data
Payroll
SMB
Leadership
Collections
KPI
Statistics
Research
Finance
Economics
Analytics
Forecasting
Modeling
Pricing
Analytical skill
Communication
Python
R
SAS
Microsoft Excel
Dashboard
Visualization
Tableau
Design
Payments
Underwriting
Policies
IMPACT
Regulatory Compliance

Job Details

Company Overview

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview

One out of every two small businesses fails within their first five years, most often due to running out of cash. QuickBooks Capital is on a mission to make a dent in that statistic, by providing small businesses access to the capital they need when they need it, leveraging the data inside QuickBooks for faster and better decisioning. This way, our customers never again have to worry about not making payroll or saying no to a business opportunity. That's how we power prosperity.

QuickBooks Capital is a nimble and high-priority start-up within Intuit that is looking to reinvent small business borrowing. We are the fastest growing SMB lending business in the market. We are looking for top talents and team members that love new challenges, cracking tough problems and working cross-functionally. If you are looking to join a fast-paced, innovative and incredibly fun team, then we encourage you to apply.

The role as QuickBooks Capital credit strategy lead will dive into three areas to help the business grow:

  • Monitor key portfolio risk indicators such as: delinquency, roll-rates, charge-offs and recoveries
  • Summarize impacts of changes in credit quality, portfolio composition and macroeconomic conditions
  • Partner with our servicing and collections team to launch novel contact strategies across multiple channels and touchpoints to help our customers get back on track


Qualifications

  • Strong business acumen with the ability to understand business problems and KPIs from multiple stakeholder perspectives
  • MS/PhD in quantitative fields such as Statistics, Operational Research, Industry Engineering, Finance, Economics etc. Or Bachelor Degree in same fields with 5+ years working experience or equivalent work experience
  • 5+ years working experience in an analytics related role leading credit strategy, collections analytics or loss forecasting. Lending experience at a bank or Fintech strongly preferred
  • Having risk related domain knowledge, such as credit bureau attributes and scoring, customer acquisition, scorecard modeling, loan amount assignment, pricing, loss forecasting, or collections
  • Proven analytical thinker that can leverage excellent communication skills to translate complex quantitative and qualitative data into actionable insights
  • Ability to learn fast and work in a fast-paced working environment, and confidence in taking end-to-end ownership of a project
  • Proficient in one of the following analytics tools, such as Python, R, and SAS
  • Advanced Google Sheet/ Excel skills with strong logical and SQL/query skills
  • Experience developing beautiful dashboards with visualization tools such as Tableau, Looker, or Domo
  • Meticulous attention to detail - you are proud of everything you produce and the assumptions they were built on


Responsibilities

  • Design, implement, and monitor contact strategies and payment options that enable Capital to assist borrowers experiencing hardship complete payments and get back on track
  • Partner with Servicing and Collections teams to develop and propose new contact strategies across SMS, inbound/outbound call and emails to optimize customer touchpoints
  • Launch, monitor and refine KPIs and tracking dashboards to enable stakeholders visibility into success of the programs
  • Use big data technology to mine massive transactional data and translate credit risk analyses into actionable business opportunities
  • Team up with our data scientist, underwriting, data engineering teams closely to drive customer segmentation, new contact prioritization models and perform portfolio analyses
  • Dive deep into our lending portfolio performance and understand the key drivers of portfolio level behavior related to credit policy releases and economic shifts that will impact near term and long term losses
  • Build great ownership and leadership by working collaboratively with business partners (product development, data engineering, compliance, underwriting team etc.) to design new products to increase our market share