Overview
On Site
200k - 250k
Full Time
Skills
Statistical Models
Credit Risk
Marketing
Innovation
Teamwork
Art
Boost
Analytical Skill
FOCUS
Management
Python
R
SQL
Data Manipulation
Applied Mathematics
Economics
Data Engineering
Regulatory Compliance
NPV
Valuation
Business Acumen
Machine Learning (ML)
Predictive Modelling
Statistics
Data Science
Modeling
Data Analysis
People Management
Team Building
Collaboration
Insurance
SAP BASIS
Job Details
Director Predictive Modeling and Data Science
A rapidly growing fintech company based in Chicago, is looking for an Associate Director of Predictive Modeling & Data Science to lead a team of statisticians and data scientists. This full-time role will focus on developing, validating, and optimizing statistical models for credit risk and marketing, driving the company's growth and innovation. If you're passionate about leveraging cutting-edge machine learning and statistical techniques to transform the online lending space, this is the opportunity for you!
We are not just another lending company - we're a fintech innovator that's revolutionizing how underbanked consumers access credit. In this role, you'll have the chance to lead a high-impact team, work with state-of-the-art classification models, and play a crucial role in shaping the future of digital lending. If you're a hands-on leader with deep expertise in Boosting, Random Forest, and XG Boost, and want to drive both business outcomes and technical excellence, this is your chance to shine.
Required Skills & Experience
Tech Breakdown
The Offer
Applicants must be currently authorized to work in the US on a full-time basis now and in the future.
#LI-OU1
A rapidly growing fintech company based in Chicago, is looking for an Associate Director of Predictive Modeling & Data Science to lead a team of statisticians and data scientists. This full-time role will focus on developing, validating, and optimizing statistical models for credit risk and marketing, driving the company's growth and innovation. If you're passionate about leveraging cutting-edge machine learning and statistical techniques to transform the online lending space, this is the opportunity for you!
We are not just another lending company - we're a fintech innovator that's revolutionizing how underbanked consumers access credit. In this role, you'll have the chance to lead a high-impact team, work with state-of-the-art classification models, and play a crucial role in shaping the future of digital lending. If you're a hands-on leader with deep expertise in Boosting, Random Forest, and XG Boost, and want to drive both business outcomes and technical excellence, this is your chance to shine.
Required Skills & Experience
- 5 + years of experience in an analytical role with a focus on model building
- 3 + years of experience in online consumer lending
- 2+ years of direct management experience
- Strong expertise in Python, R, SQL for data manipulation and statistical analysis
- Advanced degree in Data Science, Applied Mathematics, Statistics, Economics, Engineering
- Experience in data engineering is a strong plus
- Familiarity with model governance frameworks and regulatory compliance
- Background in NPV modeling and valuation
- Strong business acumen and ability to align data science initiatives with company goals
Tech Breakdown
- 70% Machine Learning & Predictive Modeling
- 30% Statistical Analysis & Data Science
- 60% Hands-on Modeling & Data Analysis
- 20% People Management & team Development
- 20% Collaboration with Business & Engineering Teams
The Offer
- Bonus OR Commission eligible
- Medical, Dental, and Vision Insurance
- Vacation Time
- Stock Options
Applicants must be currently authorized to work in the US on a full-time basis now and in the future.
#LI-OU1
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