Data Scientist

$95,000 - $115,000/Yr

Veros Credit - Santa Ana, CA

Full-time - Entry Level

Santa Ana, CA

Credit Intermediation and Related Activities

About the position

The Data Scientist at Veros Credit will be integral to a team focused on developing machine learning solutions and conducting analyses to mitigate portfolio risk. This role involves implementing analytical results into decision-making APIs and requires a blend of technical expertise and collaboration with various business functions.

Responsibilities

• Perform advanced data and statistical analysis to create and maintain performance scorecards.
• Support the Credit Risk Management team in data analysis and model construction.
• Design, build, and deploy scalable, highly available, and fault-tolerant systems in a cloud environment.
• Manage, maintain, and improve the decisioning application on AWS.
• Develop and integrate model strategies 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 for segmentation analysis, logistic regression, decision trees, and other advanced algorithms.
• Incorporate observations and data into existing models to enhance predictive results.
• Identify deviations from forecasts and explain variances.
• Contribute to loss forecasts, demographic, and credit limit utilization analysis.
• Prepare exhibits and supporting materials for credit policy recommendations.
• Track portfolio performance and risk strategy results.
• Identify opportunities to leverage statistical solutions to solve business problems.

Requirements

• 1 to 3 years of experience in the financial services sector, particularly in machine learning and cloud environments.
• 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 APIs.
• Ability to utilize analytics collaboratively across business functions and product lines.
• Strong communication and problem-solving skills.
• Demonstrated ability to communicate technical concepts to a non-technical audience.
• 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.

Nice-to-haves

• Experience in Consumer Lending (Auto Finance, Mortgage, Credit Cards, Personal Lending, etc.).
• Knowledge of A/B testing and other experimental design methodologies.
• Advanced Degree in Mathematics, Statistics, Computer Science, Quantitative Analysis, or equivalent work experience.

Benefits

• Medical, Dental, and Vision Insurance
• Life Insurance
• Flexible Spending Accounts (FSA)
• Accident, Hospital, Indemnity Insurance
• Short Term Disability (STD) and Long-Term Disability (LTD) Insurance
• Employee Assistance Program (EAP)
• 401(k) Plan
• Employee Stock Ownership Plan (ESOP)
• Tuition Reimbursement
• Paid Holidays
• Paid Time Off (PTO)
• Transportation Reimbursement Benefit (Mass Transit, Carpool, and Plug-In Electric Vehicle)
• Referral Bonus
• Quarterly lunches
• Daily fresh fruit
• Office Starbucks Coffee/Latte/Espresso Machine