Remote Opening! Fintech background required! Base + Bonus!

This Jobot Job is hosted by: Chris Gorman
Are you a fit? Easy Apply now by clicking the "Apply Now" buttonand sending us your resume.
Salary: $190,000 - $200,000 per year

A bit about us:

We are a dynamic and growing FinTech company that has been providing working capital to small businesses in North America for over a decade. Our cutting-edge financial services with speed, accuracy, and automation are enabling the company to grow exponentially. We look to derive business value through advanced predictive data modeling and Machine Learning and Artificial Intelligence. We are applying predictive technology to large volumes of data and against a wide spectrum of business and owner data to make fast and accurate credit decisions, trend forecasting.

Due to growth, we are looking for a Lead Data Scientist to add to our team! This hire will be a person who is innovative, with a product development mindset, and will understand how to further differentiate our financial products on the market to create more stickiness. The right candidate will enjoy working with many departments and wearing many hats as this person will be responsible for various projects inside the organization working with our Leadership team.

Why join us?

What We Offer:

• 100% Remote environment
• Competitive base salary and overall compensation package
• Full benefits: Medical, Dental, Vision
• Generous PTO, vacation, sick, and holidays
• Life Insurance coverage
• 401K

Job Details

Qualifications:

• 8+ years of deep industry experience in predictive & algorithmic modeling, data science, and data analysis, specifically with experience in developing FinTech products including Credit & Pricing.
• Experience in startup, scale and exits and/or entrepreneurial environments.
• Experience with ML fields, e.g., predictive analytics and financial modeling, statistical learning theory and feature engineering.
• Experience in data scientist role building and mentoring.
• Experience with maintaining and monitoring ML models in a production environment.
• Expertise in modelling & building systems using Python.
• Experience in diving into data to discover hidden patterns, using data visualization tools, writing SQL, and working with modern tools to develop models.
• Experience writing and speaking about technical concepts to business, technical, and lay audiences and giving data-driven presentations.

Responsibilities:

• Fully accountable for the success and failure of the Data Science team technical deliveries.
• Collaborate with business domain subject matter experts in various departments to understand the problem and the objectives.
• Research and build innovative predictive statistical models for all areas of the business.
• Ability to translate complex data into actionable insights for a non-technical audience.
• Maintain, tune, improve model behavior with live data for the company’s credit decision model for lending operations to drive profitability.
• Strong teaching and mentoring skills for the purpose of building up talent and delegating responsibilities.
• Dynamic working style able to handle many moving pieces at once.
• Vocal and able to communicate needs and opinions to senior leaders.

Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.