Credit Decisioning Data Jobs

2 jobs found

9d ago

Senior Data Scientist

Newrez Coppell, TX

Coppell, TX

9d ago

Full time Senior Analytics Artificial Intelligence

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Job Description

Location: Coppell, TX onsite

Benefits and culture

Newrez supports your professional growth with a comprehensive benefits package and a focus on community impact. Expect strong health coverage, robust retirement options, and family-friendly policies, all designed to help you thrive both on the job and at home. The company also promotes continuous learning through tuition and certification reimbursement, and offers programs that support financial security and emergency assistance.

Medical, dental, and vision insurance
Health Savings Account with employer contribution
401(k) Retirement plan with employer match
Paid maternity leave, parental bonding leave, and caregiver leave
Adoption assistance
Tuition and certification reimbursement
Employee Mortgage Loan Program
Newrez Emergency and Disaster Fund to support team members in hardship

Newrez Now and additional perks

One company-paid Volunteer Time Off day
Matching Gifts Program up to $1,000
Access to grants, nonprofit resources, and volunteer opportunities
More than $6,000,000 donated since 2020
One in five employees participates in at least one Employee Resource Group

Responsibilities

Steer the data science and AI roadmap using deep mortgage industry knowledge to identify high-impact opportunities that improve P&L, efficiency, and risk management within regulatory constraints.
Lead end-to-end architecture, development, and validation of advanced machine learning models and Generative AI solutions to transform underwriting automation, risk assessment, precision marketing, and servicing operations.
Design robust data pipelines, feature stores, and automated deployment workflows; collaborate with data engineering to scale and maintain reliability for structured data and AI content needs.
Establish and enforce governance frameworks for model validation and performance monitoring, ensuring compliance with financial regulations (eg, Fair Lending, UDAAP) with transparent executive and regulatory reporting.
Mentor junior data scientists and foster a culture of technical excellence, accountability, and continuous learning across the organization.
Effectively and clearly communicate complex information to stakeholders.
Perform related duties as assigned by management.

Requirements

Master’s or PhD in a quantitative discipline
8+ years of data science experience in financial services or the mortgage industry; online lending experience is a plus
Comprehensive knowledge of the mortgage lifecycle, including credit risk, underwriting, and servicing
Expert-level Python and advanced SQL skills for complex data manipulation and analysis
Proven track record of building and maintaining production ML models; experience leading hands-on transitions of emerging AI (LLMs, RAG, Agentic Workflows) from PoC to compliant production environments
Strong practical experience with data engineering principles, big data technologies, and cloud platforms
Excellent verbal and written communication, with strong interpersonal and relationship-building abilities
Influencing, negotiation, and collaborative work style
High learning agility to integrate business variables and adapt to new systems and platforms
Strong analytical and problem-solving skills with sound judgment and decision-making
Ability to manage multiple priorities under tight deadlines in a fast-paced environment
Self-directed, comfortable with ambiguity, and professionally mature with confidentiality
Strong business acumen paired with technical aptitude

Technologies

Python
SQL
Generative AI
LLMs
RAG
Agentic Workflows

Equal employment opportunity

We are proud to be an equal opportunity employer and celebrate the differences of our employees, including race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, and veteran status. Diversity strengthens our team and outcomes.

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18d ago

Senior Lead Machine Learning Engineer (Intelligent Foundations and Experiences)

Capital One New York, NY

New York, NY

18d ago

$251k - $286k/yr Full time Senior AI Enablement Ai Ml

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Job Description

Capital One is hiring a Senior Lead Machine Learning Engineer in New York, NY onsite to productionize ML applications, lead cross-functional teams, and build scalable AI-driven products, with a salary range of USD 250,800 - 286,200 per year.

Responsibilities

Lead cross functional pods of software, data, and ML engineers to develop AI and ML capabilities for Credit and Financial Risk Management products, acting as a technical mentor on core technologies
Design and deliver AI powered products and components that address real business needs, applying model experimentation, LLM inference, similarity search, and agentic AI within a collaborative Product and Data Science setting
Partner with engineers, data scientists, and designers to develop scalable AI powered products that improve associate performance and deliver standout customer value
Guide ML infrastructure choices based on modeling techniques and challenges, including model selection, data and feature considerations, training, hyperparameters, dimensionality, bias/variance, and validation
Develop and validate ML models, write application code, and automate tests and deployment to address complex problems
Retrain, maintain, and monitor deployed models in production
Utilize or build cloud based architectures and platforms to deploy scalable ML models
Create efficient data pipelines to feed ML models
Apply CI/CD best practices, with test automation and monitoring, to ensure reliable deployment of ML models and code
Ensure code is well managed to minimize vulnerabilities, maintain model governance, and follow Responsible and Explainable AI practices
Utilize a broad mix of open source and SaaS AI technologies, with proficiency in Python, Scala, or Java

Requirements

Bachelor’s Degree required
8+ years designing and building data‑intensive solutions on distributed computing platforms; internship experience not eligible
4+ years programming in Python, Scala, or Java
3+ years building, scaling, and optimizing ML systems
2+ years leading teams delivering ML solutions

Technologies

Python
Scala
Java
AWS Bedrock
Google Cloud
Azure
Retrieval Augmented Generation (RAG)

Benefits

Health benefits
Financial benefits
Performance-based incentive compensation

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