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Machine Learning Engineer

Company: Veros Credit, LLC
Location: Santa Ana
Posted on: April 30, 2021

Job Description:

Veros Credit specializes in the acquisition and servicing of motor vehicle retail installment contracts from our network of franchise and independent automobile dealers and has a nationwide presence with headquarters in Southern California's Orange County.--We are--customer service driven with a "can do" attitude. We offer a dynamic and friendly "business casual" work environment (jeans are ok!), competitive pay and an outstanding benefits package. --Some of our benefit offerings include:

Medical, Dental, and Vision InsuranceLife InsuranceShort Term Disability (STD) and Long-Term Disability (LTD) InsuranceEmployee Assistance Program (EAP)401(k) PlanTuition ReimbursementPaid HolidaysPaid Time Off (PTO)Transportation Reimbursement Benefit (Mass Transit, Carpool, and Plug-In Electric Vehicle)And a lot more!At Veros Credit, we value our employees and encourage their professional growth and success by investing in training and promoting from within.The Machine Learning Engineer will be part of a team responsible for creating ML solutions to help mitigate portfolio risk.-- The Machine Learning Engineer will create web services/APIs for serving ML model results.----Essential Responsibilities:--Perform advanced data and statistical analysis in support of the creation and maintenance of performance scorecards. Support the Credit Risk Management team in data analysis and model construction. 1+ years of experience with designing, building, and deploying scalable, highly available, and fault tolerant systems in a cloud environment.Manage, maintain, and improve our decisioning application on AWSDevelop and integrate model strategy to support business initiatives and risk-based pricing. Perform data manipulation and analysis using SQL, R or Python and Microsoft Excel. Develop Machine Learning models in areas such as segmentation analysis, logistic regression, decision trees and other advanced algorithms.Incorporate observations and data into existing models to improve predictive results. Identify deviations from forecast/expectations and explain variances.Contribute to loss forecasts, demographic, and credit limit utilization analysis.Prepare exhibits and supporting materials.Develop recommendations for credit policy.Track portfolio performance and risk strategy results.Identify opportunities to leverage statistical solutions to solve business problems.Other duties as assigned.Essential Requirements:--1+ years of progressive experience in data extraction, transformation and database development in the finance industry, auto finance is preferred.1 to 3 years of experience in the financial services sector, with hands on demonstrable experience in machine learning and cloud architecture.Advanced knowledge of a cloud platform. AWS strongly preferredAdvanced knowledge of Python and SQL is necessary. Experience with Jenkins or other DevOps toolsAbility to utilize analytics in a collaborative manner across business functions and product lines to derive optimum solutions. Strong communication and problem-solving skills with the ability to interact with others in a professional, tactful, and sensitive manner.Demonstrated ability to communicate complex concepts. Demonstrated ability to manipulate and analyze data across large databases. Detail oriented and organized with a strong work ethic and team focus.Ability to work in a fast-paced environment, both independently and as part of a team with the ability to work under tight deadlines and manage more than one assignment at a time.Advanced Degree in Mathematics, Statistics, Computer Science, Quantitative Analysis, or equivalent work experience.---------------Veros Credit, LLC is an equal opportunity employer.

Keywords: Veros Credit, LLC, Santa Ana , Machine Learning Engineer, Engineering , Santa Ana, California

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