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Veros Credit · 11 hours ago

Data Scientist

Santa Ana, CA

Full-time

Onsite

Entry, Mid Level

$95K/yr - $115K/yr

1+ years exp

Veros Credit is committed to making vehicle ownership possible for everyone. The Data Scientist will be part of a team responsible for creating ML solutions and analysis to help mitigate portfolio risk, performing advanced data analysis, and managing decisioning applications.

AutomotiveFinancial Services

No H1B

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 AWS

Develop 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

Qualification

Machine LearningCloud EnvironmentsSQLPythonMicrosoft ExcelStatistical AnalysisTeam FocusCommunication SkillsProblem-Solving SkillsDetail Oriented

Required

1 to 3 years of experience in the financial services sector

Hands on demonstrable experience in machine learning

1+ years of experience with designing, building, and deploying scalable, highly available, and fault tolerant systems in a cloud environment

Familiarity with Python machine learning frameworks and tools

Strong SQL skills for data extraction and analysis

Proficiency with Microsoft Excel

Exposure to software development methodologies like using GIT and understanding of how APIs work

Ability 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 technical concepts to a non-technical audience

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