Risk Governance

Risk Governance Data Jobs

2 jobs found

Today

Senior Data Analyst - Automation in Risk & Governance

Ally Financial Charlotte, NC

Charlotte, NC

Today

$85k - $150k/yr Full time Senior Analyst Analytics

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Job Description

Ally Financial offers a collaborative, impact-driven environment for data professionals focused on automation, governance, and risk management. This onsite role in Charlotte, NC combines hands-on tool development with data governance and reporting to support continuous monitoring. The position offers a salary range of USD 85,000 to 150,000 per year and requires a minimum of 3 years of experience, with a High School Diploma or GED as the educational baseline.

Benefits

Time Away
Planning for the Future
Health & Well-being
Building a Family
Work-Life Integration
Other compensations

The opportunity

Join Ally Financial as a Senior Data Analyst specializing in automation within risk and governance. You will work with advanced technology to support the development of premier risk management solutions, contributing to a team dedicated to precise and forward-thinking financial services.

Responsibilities

Design and sustain automated tools for assessing risk
Analyze complex data sets to identify potential risks
Collaborate with cross-functional teams to implement risk mitigation strategies
Uphold data governance standards across initiatives
Produce detailed reports and insights to guide decision-making
Create control testing automations in Snowflake to convert legacy processes into continuous monitoring
Leverage AI-assisted development workflows to speed automation delivery
Design retrieval systems to support control testing and operational decisions
Design and deploy user-driven workflows to automate tasks
Maintain Power BI dashboards to monitor automation health and control coverage
Develop Python scripts for automation pipelines and data transformations
Mentor junior teammates on technical development approaches
Document patterns and create playbooks for team replication

Requirements

3+ years of experience
High School Diploma or GED equivalent
More than 5 years of experience in data science, data engineering, or related technical positions
Strong command of SQL, with practical experience in Snowflake
Proficiency in Python for scripting and API integration
Experience with AI-assisted development tools and agentic coding workflows
Understanding of retrieval-augmented generation for building retrieval pipelines
Experience with Power BI for analytics and reporting solutions
Proven capability to convert manual processes to automated, scalable solutions
Ability to direct and support junior team members within a cooperative atmosphere
Entrepreneurial approach with strong written and verbal communication skills
Experience fine-tuning large language models for domain-specific applications
Familiarity with financial services, risk management, or compliance automation
Experience with continuous monitoring in a risk or controls environment
Proficiency with Streamlit for prototyping internal tools

Technologies

Snowflake
Power BI
Python
SQL
Streamlit

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2d ago

Manager, Data Scientist - Model Risk Office

Capital One Richmond, VA

Richmond, VA

2d ago

$179k - $205k/yr Full time Manager Ai Ml Data Governance

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Job Description

Capital One seeks a Manager, Data Scientist for the Model Risk Office to identify model risks, build and validate ML models, and communicate risk findings to executives.

Location: Richmond, VA (onsite) • Salary: USD 179,400 - 204,700 per year

Responsibilities

Partner with a cross functional team of data scientists, software engineers, and product managers to identify and quantify model risks.
Leverage a broad technology stack—from foundational frameworks such as PyTorch and Hugging Face to orchestration tools like LangChain and vector databases, plus LLMOps and observability platforms—to uncover insights hidden in large, multi modal data.
Develop machine learning models to challenge production champion models and contribute to the governance framework for the next generation of models.
Validate a wide variety of models across multiple business domains within Enterprise Services and present how identified model risks could impact the business to executives.

Technologies

PyTorch
Hugging Face
LangChain
Vector Databases
LLMOps
Python
Scala
R
AWS

BASIC QUALIFICATIONS

Currently pursuing or have obtained a Bachelor's degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or related) with at least 6 years of data analytics experience
Or a Master's degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or related) or MBA with quantitative concentration plus at least 4 years of data analytics experience
Or a PhD in a quantitative field plus at least 1 year of data analytics experience
At least 1 year of experience using open source programming languages for large scale data analysis
At least 1 year of experience working with machine learning
At least 1 year of experience utilizing relational or vector databases

PREFERRED QUALIFICATIONS

PhD in a STEM field plus 3 years of data analytics experience
At least 1 year of experience working with AWS
At least 4 years of experience in Python, Scala, or R for large scale data analysis
At least 4 years of experience with machine learning, including GenAI
At least 4 years of experience building or validating models related to fraud detection, digital marketing, cybersecurity, or sensitive data detection

THE IDEAL CANDIDATE IS

Innovative and keeps current with state of the art methods, technologies, and applications
Creative and capable of defining and solving large, undefined problems
Technical and proficient with open source tools and cloud platforms
Statistically minded with modeling, validation, and backtesting experience, including interpretation of confusion matrices and ROC curves, plus experience with clustering, classification, time series, and deep learning
Data guru comfortable handling big data and integrating diverse data sources

TEAM DESCRIPTION

The Capital One Model Risk Office safeguards the company from model failures while enhancing decision making through models, including GenAI related risks. The team blends statistics, software engineering, and business acumen to support Risk Management and the broader Enterprise, with ongoing investments in future capabilities and skills.

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Risk Governance Data Jobs

Senior Data Analyst - Automation in Risk & Governance

Manager, Data Scientist - Model Risk Office

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