Predictive Analytics Consultant, MeridianLink
$69.8-101k
Digital lending platform for every financial institution
Open for applications
Digital lending platform for every financial institution
501-1000 employees
Open for applications
$69.8-101k
501-1000 employees
Company mission
To accelerate and simplify workflows while helping community financial institutions grow, scale and serve their consumers and communities.
Role
Who you are
- The ideal candidate will possess deep expertise in AWS to own the end-to-end deployment and operationalization of machine learning models in production environments
- The ideal candidate will have proven experience deploying ML systems at scale, strong proficiency with AWS services, and a passion for transforming research models into production-grade systems
- 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, with 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 developing and deploying predictive models for credit risk, underwriting, fraud detection, portfolio monitoring, or other financial services applications is preferred
- Experience designing monitoring frameworks for model performance, data quality, data drift detection, anomaly detection, and operational alerting
- Excellent analytical, problem-solving, and communication skills with the ability to translate complex technical concepts into business-focused recommendations
- Proven ability to manage multiple priorities, collaborate across cross-functional teams, and deliver high-quality solutions in a fast-paced, client-focused environment
- 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
What the job involves
- The 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 and Risk Scoring, and Portfolio Monitoring. The position will focus on building, testing, validating, and deploying predictive and optimization models that support credit underwriting decisions in AWS
- You will architect and implement scalable ML infrastructure leveraging AWS SageMaker, Lambda, and Step Functions to automate model deployment, retraining, and inference pipelines. You will design and deploy comprehensive monitoring solutions using CloudWatch and custom metrics to track model performance, detect data drift, and identify outliers and anomalies in real-time
- Your responsibilities include establishing MLOps best practices and building data quality systems, implement alert mechanisms for performance degradation, and ensure logging and tracing for explainability and compliance
- You should be comfortable optimizing costs through resource management and scaling strategies while maintaining enterprise-level reliability, observability, and security
- 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 to support credit underwriting, risk management, and portfolio performance objectives
- Architect, deploy, and manage end-to-end MLOps pipelines in AWS using services such as SageMaker, Lambda, Step Functions, and other cloud-native technologies
- Develop scalable and automated workflows for model training, deployment, retraining, and inference to ensure efficient and reliable production operations
- Design and implement comprehensive model monitoring frameworks to track model performance, detect data drift, identify anomalies, and ensure continued model accuracy
- Build and maintain data quality validation processes that verify data integrity, identify inconsistencies, and support reliable model performance
- Establish monitoring, logging, tracing, and alerting capabilities that provide visibility into production systems and enable rapid identification and resolution of issues
- 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 while ensuring enterprise-grade production standards
- 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 to ensure predictive models remain accurate, compliant, and aligned with business objectives
- Research, evaluate, and implement new machine learning technologies, cloud services, and analytical methodologies to continuously improve predictive capabilities and operational efficiency
Our take
MeridianLink provides modern software platforms for financial institutions and consumer reporting agencies. Specifically, it powers digital lending and account opening for the former and data verifications for the latter.
The company has been trusted for over 20 years and has remained adaptable and open to change with the industry, such as its recent addition of engagement features that offer new ways to help financial services drive growth, reach target audiences and adjust campaigns to meet business and customer needs. It has therefore maintained a number of impressive customers, from BankPlus and American United to FirstBank and TwinStar.
Building on this track record, MeridianLink was recently acquired by Centerbridge Partners, marking an important step forward. Going private in this $2B deal gives the company flexibility to accelerate innovation, expand its platform, and leverage AI and data more effectively. With Centerbridge's support, MeridianLink is in a good position to strengthen its competitive edge and continue helping financial institutions grow in a rapidly evolving market.
Freddie
Company Specialist at Welcome to the Jungle
Insights
1% employee growth in 12 months
Company
Company benefits
- Ongoing development: Continuous learning is essential to growth, and we’re committed to helping our employees thrive. You’ll have the opportunity to take part in job-specific training, monthly soft-skill sessions, and leadership classes designed to support your development at every stage.
- Access to executives: Have a good idea? Share it with peers, managers, or executives. Our leadership is approachable and actively involved in supporting your work.
- Health lifestyle: Healthy staff makes us happy. We support our team members with resources and programs that promote financial, physical, and mental health—encouraging balance, self-care, and a lifestyle that helps you feel your best every day.
- Celebrations: All work and no play makes for a dull day. We celebrate holidays, birthdays, work anniversaries, and other milestones with fun activities that bring us together. We also provide channels for employees to recognize and celebrate each other’s achievements, making appreciation a regular part of our culture.
- Community partnering: Take a day off with pay to volunteer where it matters most to you or join the company in various community service projects throughout the year.
Company HQ
Irvine Technology Center, Irvine, CA
Leadership
Larry Katz
(CEO)Larry joined MeridianLink in 2023 as CFO and became CEO in 2025. Prior to this, they were the CFO at StubHub and Genesys as well as a Managing Director at JPMorgan Chase & Co. for 15 years.
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