Principal Predictive Analytics Consultant

October 18

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MeridianLink

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technology • financial services • banking • loan origination system • Loan Origination

501 - 1000 employees

Founded 1998

💳 Fintech

🏦 Banking

☁️ SaaS

💰 $485M Post-IPO Debt on 2021-11

Description

• The Principal Predictive Analytics Consultant will be a key member of the analytics team, responsible for leading the design and delivery of critical solutions like Automated Underwriting, Risk Scoring, and Portfolio Monitoring. • This role involves utilizing advanced data science tools and techniques to provide analytics services that optimize decision engines and improve the lending operations of financial institutions. • The position will focus on building, testing, and validating predictive and optimization models that support credit underwriting decisions. • The consultant will develop data-driven solutions to enhance credit risk assessments, automate decision-making, and optimize underwriting processes.

Requirements

• Bachelor’s or Master’s degree in Statistics, Data Science, Analytics, Mathematics, Economics, Finance, or a related field is preferred • 5+ years of experience building and validating predictive credit risk models, preferably in the financial services or lending industry. • Strong background in credit risk and credit underwriting processes for consumer loans focused on Auto Lending, Personal Loans, and Credit Cards • Proven experience with model development, implementation, testing, validation, and monitoring. • Expert-level skills in programming languages such as Python for model development and analysis leveraging Pandas, Scikit-learn, and other data handling, statistical, optimization, and machine learning frameworks • High-level proficiency and advanced skills in SQL for data querying and data manipulation. • Proficiency in Azure Machine Learning Services for training, building, and deploying models is preferred, along with experience in Azure Cloud Infrastructure and MLOps. • Strong understanding of credit risk factors and ability to identify key indicators for underwriting decisions. • Ability to translate complex data into actionable business insights and communicate them effectively to stakeholders. • Strong problem-solving skills and attention to detail in analyzing data and validating models. • Excellent communication skills to present technical concepts to non-technical stakeholders. • Ability to work independently and as part of a team in a fast-paced, dynamic environment. • Strong project management skills with the ability to handle multiple tasks and deadlines.

Benefits

• Potential For Equity-Based Awards • Insurance coverage (medical, dental, vision, life, and disability) • Flexible paid time off • Paid holidays • 401(k) plan with company match • Remote work