Analytics Analyst, Enova
$63-98k
Salary is dependent on experience level
More information about location
3+ days a week in office
AI-driven financial credit provider
Posted today
AI-driven financial credit provider
1001+ employees
Posted today
$63-98k
Salary is dependent on experience level
More information about location
3+ days a week in office
1001+ employees
Company mission
Enova's mission is to help hardworking businesses and individuals get access to fast, trustworthy credit through its AI-driven credit solutions.
Role
Who you are
- Bachelor's degree in a quantitative field or equivalent experience
- The ability to interpret and organize data, and communicate it effectively to both technical and non-technical audiences
- Comfort working on challenging, analytical problems that often require novel solutions and have vague requirements
- Working knowledge of at least one programming language used for statistical analysis and model building (preferably R or Python)
- An understanding of, and first hand experience developing, common machine learning algorithms used for predictive modeling
- Excited to learn applied data science and Fintech/Lending industry specific concepts
Desirable
- 1-3 years of work experience in Analytics or related field
- Experience working with relational databases, such as Postgres or Snowflake (SQL)
- Knowledge of AWS web resources for model building and deployment (ie. EC2 and Sagemaker)
- Experience in the financial and consumer lending industry
- Ability to use Excel/Powerpoint or equivalent for compiling and presenting your work to business leaders outside of the analytics team
What the job involves
- As a member of the Portfolio Analytics team you will be one of Enova’s most valuable resources
- You will develop and maintain the company’s predictive models for use in determining the appropriate lending criteria, verification procedures, and acquisition decisions
- At times, you may be asked to conduct ad hoc analysis using statistical and financial tools to provide recommendations for risk management, marketing, product design, and operational strategies
- Portfolio Analytics: PA focuses on building cutting edge risk, pricing, and acquisition models to optimize our lending decisions by using an array of machine learning models, trained on a constantly evolving combination of in-house and externally sourced data
- Fraud Analytics: Members of the FA team use advanced machine learning and statistical techniques to identify and fight fraudulent applications and loan activity
- Business Forecasting: BF is responsible for working with Enova’s Finance and Accounting departments to provide insight into the future of our brands and the profitability of our portfolios
- Machine Learning Operations: The MLOPs team builds and maintains all of our technical tools and platforms. They help investigate new analytics methodologies, use cases, and data sources, to institute new and best practices within the department. They are responsible for
- We are language agnostic, but primarily use Python, R, and SQL. That means YOU get to pick the tool that works best for you and the analysis at hand
Our take
Providing customers with quick access to credit is important for fintech companies to survive in today's financial landscape of open banking, but this is made difficult by high credit rejection rates from banks. However, these decisions are generally made by human assessments of data which are limited due to the complexity of the modern financial landscape. AI-driven solutions, able to analyse vast amounts of data almost instantly to derive accurate credit risk assessments, present room for improvement in the lending industry.
Enova provides a platform called Colossus that leverages AI and machine learning-enabled analytics to provide businesses and individuals with fast, reliable, and trustworthy credit. The company achieves this by partnering with banks and sharing its data analysis solutions, helping to identify opportunities for credit when they would otherwise be missed. There is definitely a market for its product: over 8 million customers have funded almost $50 billion through the platform to date.
Enova has grown strongly in recent years based on the rapid uptake of its product. As the macroeconomic climate remains volatile, businesses will increasingly come to rely on Enova's AI-based solutions to help them manage credit risk and navigate an increasingly complex lending environment.
Steph
Company Specialist at Welcome to the Jungle
Insights
13% employee growth in 12 months
Company
Company benefits
- Hybrid roles entail working in-office from Tuesday to Thursday, with the choice to work remotely on Mondays and Fridays
- Health, dental, and vision insurance including mental health benefits
- 401(k) matching plus a roth option (U.S. Based employees only)
- PTO & paid holidays off
- Sabbatical program (for eligible roles)
- Summer hours (for eligible roles)
- Paid parental leave
- DEI groups (B.L.A.C.K. @ Enova, HOLA @ Enova, Women @ Enova, Pride @ Enova, South Asians @ Enova, APEX @ Enova, and Parents @ Enova)
- Employee recognition and rewards program
- Charitable matching and a paid volunteer day…Plus so much more!
Company HQ
Chicago Loop, Chicago, IL
Leadership
David Fisher
(CEO, not founder)Before joining Enova as CEO, they were the CEO of optionsXpress and CFO at Potbelly Sandwich Works, Prism Financial and RBC Mortgage.
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