MeridianLink

2 months ago

Predictive Analytics Consultant

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Lead design and delivery of predictive analytics solutions for lending, including Automated Underwriting, Risk Scoring, and Portfolio Monitoring. Build, test, validate, and deploy predictive and optimization models that improve underwriting decisions and credit risk assessments for financial institutions. Integrate loan origination data and credit bureau inputs to drive data-driven decision engines and measurable lending outcomes.

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Consulting & Advisory

Key Responsibilities

•Managing large, complex datasets from multiple sources, ensuring they are accurate, clean, and organized for analysis.
•Implement advanced data transformation techniques (e.g., feature engineering, aggregation, normalization) to optimize data for machine learning, optimization and statistical models.
•Work on predictive models including classification, regression, and clustering using algorithms like decision trees, random forests, or neural networks.
•Fine-tune models by optimizing hyperparameters and evaluating performance using cross-validation to meet business and technical requirements.
•Develop end-to-end analytical solutions from data collection to model deployment that align with client objectives and KPIs.

Pay and Benefits

Salary: USD 69,800 - 110,300 annually

Key Requirements

•4+ years of experience building and validating predictive credit risk models in the financial services or lending industry.
•Bachelor’s or Master’s degree in Statistics, Data Science, Analytics, Mathematics, Economics, Finance, or a related field is preferred
•Proven experience with model development, deployment, testing, validation, and monitoring
•Expert-level Python for model development and analysis (Pandas, Scikit-learn) and strong SQL skills
•Proficiency in AWS for training, building, and deploying models, with experience in MLOps

Experience:4+ yearsFinancial servicesLending

Education:Bachelor's

Skills:CommunicationProblem-solvingTeamworkPresentation

Tech Stack:PythonPandasScikit-learnSQLAWSMLOps

Company Brief

MeridianLink

Provides cloud-based digital lending, account opening, background screening, and data verification platforms for financial institutions and consumer reporting agencies, enabling automation, compliance, and data-driven decisioning.

Industry: Fintech Infrastructure

Company Size: Large (251 to 1,000 employees)

Growth: Established Company

Valuation: Unicorn (USD 1B+)

Funding: Private Equity Backed

Headquarters: Irvine, United States

Founded: 1998

Glassdoor: 3.1

Website LinkedIn Glassdoor

Loading job details...

Preparing the role view and application actions.

MeridianLink

2 months ago

Predictive Analytics Consultant

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Consulting & Advisory

Key Responsibilities

•Managing large, complex datasets from multiple sources, ensuring they are accurate, clean, and organized for analysis.
•Implement advanced data transformation techniques (e.g., feature engineering, aggregation, normalization) to optimize data for machine learning, optimization and statistical models.
•Work on predictive models including classification, regression, and clustering using algorithms like decision trees, random forests, or neural networks.
•Fine-tune models by optimizing hyperparameters and evaluating performance using cross-validation to meet business and technical requirements.
•Develop end-to-end analytical solutions from data collection to model deployment that align with client objectives and KPIs.

Pay and Benefits

Salary: USD 69,800 - 110,300 annually

Key Requirements

•4+ years of experience building and validating predictive credit risk models in the financial services or lending industry.
•Bachelor’s or Master’s degree in Statistics, Data Science, Analytics, Mathematics, Economics, Finance, or a related field is preferred
•Proven experience with model development, deployment, testing, validation, and monitoring
•Expert-level Python for model development and analysis (Pandas, Scikit-learn) and strong SQL skills
•Proficiency in AWS for training, building, and deploying models, with experience in MLOps

Experience:4+ yearsFinancial servicesLending

Education:Bachelor's

Skills:CommunicationProblem-solvingTeamworkPresentation

Tech Stack:PythonPandasScikit-learnSQLAWSMLOps

Company Brief

MeridianLink

Industry: Fintech Infrastructure

Company Size: Large (251 to 1,000 employees)

Growth: Established Company

Valuation: Unicorn (USD 1B+)

Funding: Private Equity Backed

Headquarters: Irvine, United States

Founded: 1998

Glassdoor: 3.1

Website LinkedIn Glassdoor