Junior Data Scientist

PEAC Solutions provides equipment financing and capital lending solutions to help businesses thrive. We are the world’s largest independent equipment leasing company. As we continue to expand our global footprint and market share, we're seeking individuals who wish to be part of this successful journey. At PEAC, we work together to make a lasting impact on our customers, our partners, and each other. With a passionate group, our successes come with plenty of reward and celebration. Our collaborative team environment ensures that everyone has an impactful voice. If you're interested in joining our team and possess the skills and competencies for this role, please apply at https://careers.peacsolutions.com.

Role: Jr. Data Scientist (JDS)

The JDS is responsible for performing data analysis to uncover trends and actionable insights, presenting findings with recommendations to key stakeholders clearly and concisely. The JDS will maintain a strong understanding of analytical frameworks, statistical modeling methods, and the use of predictive modeling to make business decisions.

Essential Functions:

• Assist in maintenance, development, validation (including end-to-end testing) and implementation of fraud and credit policy changes within the company’s decision engine platform for its Working Capital, Equipment Finance, and Inventory Finance products.
• Identify areas to enhance auto decisions and scoring strategies to maximize process efficiencies and optimize risk-reward.
• Monitor and provide reporting on portfolio performance, credit scorecard approval rates, automation metrics, and multiple model governance metrics (e.g., KS statistics, stability indices, ROC curves).
• Collaborate across all business verticals to improve the efficiency and effectiveness of automated decision-making.
• Perform data analysis to continually improve fraud strategies and processes.
• Develop and analyze the effectiveness of fraud scoring models and stay abreast of new fraud tools for incorporation into fraud prevention strategies.
• Incorporate business acumen into analytical work by ensuring data-driven solutions align with the organization’s strategic objectives.
• Lead analytics projects end-to-end: identifying and structuring the problem, analyzing root causes, developing solutions, maintaining project plans, and communicating results to determine if objectives were met.

Qualifications:

• Bachelor’s degree in Mathematics, Statistics, Computer Science, Economics, or equivalent experience.
• 1 - 3 years of experience within the Financial Services / Fintech industry.
• Experience in SQL, R, Python, Lua, and/or SAS software.
• Working knowledge of statistical theory/techniques for assessing model stability and performance.

PEAC Solutions is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, ethnicity, disability, religion, national origin, gender, gender identity, gender expression, marital status, sexual orientation, age, protected veteran status, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

The successful candidate will receive competitive compensation along with our benefits package, which includes medical, dental, vision, life insurance, short and long-term disability, 401(k) with match, flexible spending, and paid time off. PEAC also provides one paid day off per year to support community involvement. Celebrate you by having your birthday off on us!