Predictive Analytics Consultant

Job not on LinkedIn

🕒 August 8

🇺🇸 United States – Remote

💵 $69.8k - $101k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

💼 Consultant

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MeridianLink

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 1998

💳 Fintech

🏦 Banking

☁️ SaaS

💰 $485M Post-IPO Debt on 2021-11

Fintech • Banking • SaaS

MeridianLink is a leading provider of SaaS solutions for financial institutions, specializing in loan origination systems and digital transformation technologies. Their end-to-end platform enhances digital experiences through integration with mortgage LOS, deposit account opening solutions, and more. MeridianLink's cloud-based systems improve efficiency in loan processing and collections, data-driven decision-making, and account management. The company collaborates with partners to expand market reach and drive growth in the fintech industry. With over 25 years of experience, MeridianLink is dedicated to supporting banks, credit unions, and other financial service providers through technology and business intelligence.

📋 Description

• Lead the design, development, and deployment of predictive analytics solutions, including automated underwriting, risk scoring, portfolio monitoring, and decision optimization models. • Build, test, validate, and maintain predictive and machine learning models supporting credit underwriting, risk management, and portfolio performance. • Architect, deploy, and manage end-to-end MLOps pipelines in AWS using SageMaker, Lambda, Step Functions, and other cloud-native technologies. • Develop automated workflows for model training, deployment, retraining, and inference. • Design and implement model monitoring frameworks for performance, data drift, anomalies, and accuracy. • Build and maintain data quality validation processes. • Establish monitoring, logging, tracing, and alerting capabilities for production systems. • Develop and enforce MLOps best practices, including model governance, version control, CI/CD automation, documentation, and lifecycle management. • Optimize AWS infrastructure for performance, scalability, security, reliability, and cost efficiency. • Partner with data scientists, software engineers, product teams, and business stakeholders to translate analytical solutions into production-ready applications. • Conduct model validation, performance testing, and ongoing maintenance. • Research, evaluate, and implement new machine learning technologies, cloud services, and analytical methodologies.

🎯 Requirements

• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field. • 3-5+ years of experience deploying predictive analytics or machine learning models in production environments. • Strong expertise with AWS cloud services, including SageMaker, Lambda, Step Functions, CloudWatch, S3, IAM, and related technologies. • Proficiency in Python and SQL. • Experience building scalable data pipelines, model automation, and production-ready analytical solutions. • Hands-on experience implementing MLOps best practices, including CI/CD, model versioning, automated deployment, monitoring, and lifecycle management. • Experience designing monitoring frameworks for model performance, data quality, data drift detection, anomaly detection, and operational alerting. • Excellent analytical, problem-solving, and communication skills. • Ability to translate complex technical concepts into business-focused recommendations. • Proven ability to manage multiple priorities and collaborate across cross-functional teams. • Ability to deliver high-quality solutions in a fast-paced, client-focused environment. • Ability to work independently and as part of a team. • Strong project management skills with the ability to handle multiple tasks and deadlines. • Background in credit risk, underwriting, fraud detection, portfolio monitoring, or other financial services applications is preferred.

🏖️ Benefits

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