Risk Management Automation Solution Analyst
Flagstar Bank
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- Pay
- $66.5K to $111.5K
- a year
- Location
- Hicksville, NY
- Work style
- On-site
- Job type
- Full time
- Posted
- Oct 15
- 5 days ago
Career path
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About the company
Flagstar Bank
Banking · 5,001 to 10,000 employees
What you'll do
- Design, develop, and implement automated solutions for risk workflows, monitoring, and reporting
- Build and maintain AI/ML models to support repetitive risk division activities
- Develop dashboards and automated reporting tools
- Collaborate with risk managers and business stakeholders to identify processes for automation
- Integrate data from multiple sources for risk analysis and regulatory reporting
- Evaluate and recommend emerging AI tools, platforms, and technologies
- Document solution designs, code, and processes
- Support governance and validation efforts for AI/ML models
What you need
- Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related technical field
- Strong analytical and critical thinking skills with high attention to detail and accuracy
- Excellent verbal, written, and interpersonal communication skills
- Ability to analyze, collect, research and understand complex data
- Exposure to banking, financial services, or risk management concepts (preferred)
- Familiarity with regulatory frameworks (preferred)
- Experience with cloud platforms and API integrations (preferred)
Key skills
PythonSQLMachine learningAI frameworksRobotic Process AutomationData visualization toolsAnalytical and critical thinkingCloud platformsAPI integrationsPrompt engineeringModel risk managementAI governance
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Perks
- medical
- dental
- vision
- life
- disability insurance
- comprehensive leave program
See full description on company page, apply now
Read the full posting here
Position Title
Risk Management Automation Solution Analyst
Location
Hicksville, NY 11801
Job Summary
The Risk Management Automation Solution Analyst role exists to design, develop, and implement automated and AI-driven solutions that enhance the efficiency, accuracy, and visibility of risk management processes, controls, and reporting. The role partners with risk managers and business stakeholders to identify and transform manual workflows into scalable, data-driven solutions - leveraging tools such as Python, SQL, machine learning frameworks, RPA platforms, and data visualization technologies to support anomaly detection, predictive analytics, and regulatory reporting.
Job Responsibilities:
JOB RESPONSIBILITIES
Design, develop, and implement automated solutions to streamline risk management workflows, monitoring, and reporting.
Build and maintain AI/ML models to support risk division in repetitive activities (e.g., anomaly detection, predictive analytics).
Develop dashboards and automated reporting tools to improve visibility into risks and emerging trends.
Collaborate with risk managers and business stakeholders to identify manual processes suitable for automation and prioritize solution development.
Integrate data from multiple sources to create unified, reliable datasets for risk analysis and regulatory reporting.
Evaluate and recommend emerging AI tools, platforms, and technologies that can enhance the team's capabilities.
Document solution designs, code, and processes to ensure transparency, reproducibility, and auditability.
Support governance and validation efforts for AI/ML models in alignment with AI frameworks.
Uses independent judgement and discretion to make model development decisions.
Analyzes and resolves problems pertaining to model performance issues.
ADDITIONAL ACCOUNTABILITIES
Performs special projects, and additional duties and responsibilities as required.
Consistently adheres to regulatory and compliance policies and standards linked to the job as listed and complete required compliance trainings. Accountable to maintain compliance with applicable federal, state and local laws and regulations.
JOB REQUIREMENTS
Required Qualifications:
Education level required: Undergraduate Degree (4 years or equivalent) Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related technical field.
Minimum experience required: 2+ Years (including internships, academic projects, or freelance work) in one or more of the following: Python, R, SQL, or similar programming languages, Machine learning / AI frameworks, Robotic Process Automation (RPA) tools (e.g., Power Automate, Automation Anywhere), Data visualization tools (e.g., PowerBI, PowerAutomate).
Preferred Qualifications:
Exposure to banking, financial services, or risk management concepts.
Familiarity with regulatory frameworks (e.g., OCC guidelines, FDIC regulations, Basel standards).
Experience with cloud platforms (AWS, Azure, GCP) and API integrations.
Knowledge of generative AI applications (e.g., LLMs, prompt engineering, RAG architectures).
Understanding of model risk management principles and AI governance best practices.
Relevant certifications such as AWS Cloud Practitioner, Azure AI Fundamentals, or FRM/PRM.
Job Competencies:
Strong analytical and critical thinking skills with high attention to detail and accuracy.
Excellent verbal, written, and interpersonal communication skills.
Ability to clearly articulate, in writing or orally, ideas, analytic insights, and recommendations to both technical and non-technical audiences, including an executive audience.
An ability to identify key problems, conduct in-depth research, and articulate well-reasoned solutions.
Ability to analyze, collect, research and understand complex data.
Demonstrates a strong ability to build and maintain effective relationships with stakeholders by communicating clearly, engaging in proactive collaboration, and leveraging cross functional insights. Aligns relationship building efforts with enterprise goals to accelerate performance and drive strategic results.
Builds trusted client relationships, whether internal or external, by identifying needs and delivering tailored solutions to enhance the overall client experience.
Fosters or supports a positive work culture and productive work environment, displaying importance of effective relationships with customers and stakeholders.
Travel requirements: Not required.
Physical demands (ADA): No unusual physical exertion is involved.
Flagstar is an Equal Opportunity Employer - Vets/Disabled
We are committed to providing clear and accurate compensation information in accordance with applicable laws. Actual starting base pay will be determined based on location, experience, and other non-discriminatory factors permitted by law. Total compensation may also include variable incentives, bonuses, commissions, or other awards as outlined in the offer of employment. Flagstar provides teammates access to a variety of benefits including medical, dental, vision, life, and disability insurance, as well as a comprehensive leave program. Please click the following link for detailed information: Benefits | Flagstar Bank
Pay Range
$66,538.50 - $111,484.00