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Enterprise Analytics and Modeling - Risk Management - Lead Associate (Open to Remote)

Company Description

At Fannie Mae, futures are made. The inspiring work we do helps make a home a possibility for millions of homeowners and renters. Every day offers compelling opportunities to impact the future of the housing industry while being part of an inclusive team thriving in an energizing, flexible environment. Here, you will grow your career and help create access to fair, affordable housing finance.

Job Description

As a valued colleague on our team, you will provide expert advice on, and guide team in, assessing and identifying potential risks that may threaten our reputation, safety, security, and/or financial success, as well as participate with key stakeholders across the enterprise and guide team in understanding business objectives.

The Enterprise Analytics and Modeling - Risk Management - Lead Associate (Open to Remote) will join the Model Governance Solutions (MGS) team. Model Governance Solutions (MGS) is a first line of defense team whose mission is to drive efficiency, consistency, and compliance in first-line model management activities across the enterprise. As a valued colleague on our team, you will assist the team with assessing and identifying potential model risks that may threaten our reputation, safety, security, and/or financial success, as well as participate with the team in communicating and collaborating with key stakeholders across the enterprise and understanding business objectives.

 

THE IMPACT YOU WILL MAKE

The Enterprise Analytics and Modeling - Risk Management - Lead Associate (Open to Remote) role will offer you the flexibility to make each day your own, while working alongside people who care so that you can deliver on the following responsibilities:

  • Execute on tactical elements of governance compliance for artificial intelligence (AI) and machine learning (ML).
  • Be part of the team responsible for providing program management and oversight for 1St LoD AI/ML risk management.
  • Work with team members and leadership to prepare content and facilitate AI council and working group meetings.
  • Work with stakeholders and team members to ensure requisite activities associated with AI/ML regulatory guidance occur.
  • Work with MGS team members to ensure requisite activities within the enterprise AI/ML Risk Management Standard occur.
  • Work with key stakeholders on identifying heightened risks, controls, and value of prospective AI/ML use cases.
  • Work with Enterprise Architecture to create, and sustain, a comprehensive AI/ML use take intake process.
  • Maintain the comprehensive inventory of AI use cases, evidence of review and approval, and associated documentation.
  • Partner with Model Risk Management and other functions (e.g., legal) on requisite review and effective challenge of new AI/ML use cases.
  • Partner with subject-matter-experts and strategic leaders to ensure execution of requisite control activities as articulated in the enterprise AI/ML strategy.
  • Work with internal stakeholders to develop and deliver training content and socialization about AI/ML risk processes and controls.
  • Guide team in preparing analyses and reports used to determine business areas that pose potential risks to the enterprise. 
  • Guide team in preparing analyses and reports used to evaluate the impact of proposed risks to the enterprise.  
  • Lead team in monitoring information and processes to reduce risk using rigorous analysis.  
  • Document resolutions and control guidelines.  
  • Guide team efforts to review business strategies, and make decisions that will drive success in the face of shifting consumer behaviors and regulations. 

Qualifications

THE EXPERIENCE YOU BRING TO THE TEAM

Minimum Required Experiences

  • 4 years  of risk management, governance or AI/ML experience 

Skills

  • Skilled in presenting information and/or ideas to an audience in a way that is engaging and easy to understand
  • Skilled in creating visual concepts, creating content, and editing content by hand or with the help with computer software to communicate ideas
  • Working with people with different functional expertise respectfully and cooperatively to work toward a common goal
  • Experience gathering accurate information to explain concepts and answer critical questions
  • The group of skills related to Relationship Management including managing and engaging stakeholders, customers, and vendors, building relationship networks, contracting, etc.

Tools

  • Skilled in Excel

 

Desired Experience

  • Bachelor degree or equivalent  
  • An ideal candidate will have at least 4 years of risk management experience with at least 1 year in model risk management.
  • Experience in the practices, policies, and frameworks that guide the development, deployment, and management of AI/ML models.
  • Track record of execution, strong prioritization, and the ability to lead teams
  • Relationship management skills to partner with team members and stakeholders as needed.
  • Excellent oral and written communication skills, including the ability to explain complex processes in business terms.
  • Experience in Financial Services or other highly regulated industries.

Skills

  • Strong organizational, analytical and problem-solving skills
  • Ability to identify, make recommendations, and implement process improvements in day-to-day activities.
  • Ability to work independently, but also comfortable working and contributing within a team environment.
  • Comfortable working in a dynamic and ever evolving environment.
  • Working with people with different functional expertise respectfully and cooperatively to work toward a common goal.
  • Skilled in creating visual concepts, creating content, and editing content by hand or with the help with computer software to communicate ideas.
  • Skilled in presenting information and/or ideas to an audience in a way that is engaging and easy to understand.
  • Governance and Compliance skills including creating policies, evaluating compliance, conducting internal investigations, developing data governance, etc.
  • Relationship Management skills including managing and engaging stakeholders, customers, and building relationship networks.
  • Passion for AI, Machine Learning and Data Analysis. Interest in exploring AI/ML trends and techniques outside of day-to-day job duties.
  • Learn, provide, and maintain up-to-date knowledge of relevant industry and regulatory standards, best practices, and business processes used in model risk management.
  • Be a self-starter.

Additional Information

The future is what you make it to be. Discover compelling opportunities at careers.fanniemae.com.

Fannie Mae is an Equal Opportunity Employer, which means we are committed to fostering a diverse and inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, religion, national origin, gender, gender identity, sexual orientation, personal appearance, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation in the application process, email us at [email protected].

The hiring range for this role is set forth on each of our job postings located on Fannie Mae's Career Site. Final salaries will generally vary within that range based on factors that include but are not limited to, skill set, depth of experience, certifications, and other relevant qualifications. This position is eligible to participate in a Fannie Mae incentive program (subject to the terms of the program). As part of our comprehensive benefits package, Fannie Mae offers a broad range of Health, Life, Voluntary Lifestyle, and other benefits and perks that enhance an employee’s physical, mental, emotional, and financial well-being. See more here.

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What You Should Know About Enterprise Analytics and Modeling - Risk Management - Lead Associate (Open to Remote), Fannie Mae

At Fannie Mae, we are at the forefront of making home ownership a reality for millions. We are currently looking for a passionate and skilled Enterprise Analytics and Modeling - Risk Management - Lead Associate (Open to Remote) to join our Model Governance Solutions (MGS) team. In this dynamic role, you will help to identify and assess potential risks that could impact our reputation and financial stability. You'll collaborate with key stakeholders across the enterprise to understand and navigate business objectives effectively. Your day-to-day will vary widely; from executing governance compliance tasks related to artificial intelligence (AI) and machine learning (ML) to guiding the preparation of analyses and reports that evaluate business risks. We value transparency and teamwork, and as such, you will be actively involved in training sessions and meetings to ensure that everyone is well-informed about AI/ML risks. If you have a knack for creative problem-solving, strong stakeholder management skills, and a passion for AI, this could be your perfect fit! Join us at Fannie Mae and play a vital role in shaping the future of the housing finance industry while being part of a supportive and inclusive environment.

Frequently Asked Questions (FAQs) for Enterprise Analytics and Modeling - Risk Management - Lead Associate (Open to Remote) Role at Fannie Mae
What are the key responsibilities of the Enterprise Analytics and Modeling - Risk Management - Lead Associate at Fannie Mae?

As the Enterprise Analytics and Modeling - Risk Management - Lead Associate at Fannie Mae, your key responsibilities will include assessing potential risks, executing governance compliance for AI and ML, preparing analyses and reports, and guiding the team in understanding business objectives. You'll collaborate closely with stakeholders to ensure AI/ML regulatory guidance is met and maintain an inventory of AI use cases, all aimed at fostering a more secure and efficient organization.

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What qualifications are needed to apply for the Enterprise Analytics and Modeling - Risk Management - Lead Associate position at Fannie Mae?

To apply for the Enterprise Analytics and Modeling - Risk Management - Lead Associate role at Fannie Mae, candidates should ideally have at least 4 years of experience in risk management or governance, with a minimum of 1 year focused on model risk management. A bachelor’s degree or equivalent experience, along with strong organizational and analytical skills, are also essential for success in this position.

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How does the Enterprise Analytics and Modeling - Risk Management - Lead Associate contribute to stakeholder management at Fannie Mae?

In the Enterprise Analytics and Modeling - Risk Management - Lead Associate role, you will play a critical part in relationship management. Your responsibilities will include engaging with stakeholders to identify and manage heightened risks and controls of AI/ML use cases. This collaborative approach ensures that all parties are aligned and informed, paving the way for successful risk management strategies.

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What tools and skills are encouraged for the Enterprise Analytics and Modeling - Risk Management - Lead Associate at Fannie Mae?

Ideal candidates for the Enterprise Analytics and Modeling - Risk Management - Lead Associate position should possess skills in Excel and strong interpersonal skills for effective engagement with diverse teams. Experience with AI/ML frameworks and compliance policies is highly valued. The role requires an ability to present complex ideas in a simple manner, which will help influence stakeholders effectively.

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Is there room for professional growth in the Enterprise Analytics and Modeling - Risk Management - Lead Associate role at Fannie Mae?

Absolutely! Fannie Mae is committed to fostering an inclusive environment that supports the professional development of each team member. The Enterprise Analytics and Modeling - Risk Management - Lead Associate position allows for flexibility and encourages innovation, which can enrich your career trajectory while enabling you to contribute meaningfully to the housing finance industry.

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Common Interview Questions for Enterprise Analytics and Modeling - Risk Management - Lead Associate (Open to Remote)
Can you describe your experience with risk management in AI and ML?

Certainly! I have spent over four years working in risk management, primarily focusing on AI and ML projects. My responsibilities included developing compliance protocols, assessing operational risks, and ensuring adherence to regulatory guidelines. I believe my analytical skills and ability to communicate complex concepts clearly will aid in managing risks effectively.

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How do you prioritize tasks when faced with tight deadlines?

When facing tight deadlines, I prioritize tasks by assessing their impact on overall project goals. I utilize project management tools to ensure transparency and follow an agile approach that allows for iterations. This method helps me stay focused and ensure all pressing tasks are completed efficiently without compromising quality.

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How do you engage stakeholders during risk management processes?

I engage stakeholders by fostering open lines of communication and ensuring their inputs are valued. By organizing regular meetings and providing updates, I build trust and facilitate a collaborative environment. I also utilize data visualization tools to present information in a clear manner, ensuring all stakeholders understand the risks and decision-making criteria.

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What methodologies do you use to analyze potential risks?

I apply a combination of qualitative and quantitative methodologies when analyzing potential risks. This includes conducting scenario analysis to foresee possible outcomes, utilizing statistical models for risk assessment, and collecting feedback from team members to ensure a rounded understanding of risks.

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Tell us about a challenge you've faced in your previous role related to risk management.

In my previous role, I encountered a significant challenge when implementing a new AI model. The initial assessment revealed unforeseen compliance risks which required swift action. By collaborating with cross-functional teams, conducting detailed reviews, and building a revised risk management framework, we successfully aligned the project with compliance standards while preserving its functionality.

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How do you maintain up-to-date knowledge of industry standards and trends in AI and ML?

I maintain my knowledge by consistently engaging with professional communities, attending industry conferences, and pursuing relevant certifications. I also subscribe to research journals and follow reputable blogs to stay informed about emerging trends and regulatory updates in AI and ML.

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Can you explain your approach to developing training content concerning AI/ML risk processes?

My approach begins with assessing the audience's level of understanding and their specific needs. I then develop training modules that combine theoretical concepts with practical examples. I prioritize clarity and engagement by using visual materials and interactive sessions to foster better retention of the training content.

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What experience do you have with compliance and governance in AI/ML?

I have substantial experience working on compliance and governance in both AI and ML contexts. My responsibilities included developing governance frameworks, conducting internal assessments, and ensuring adherence to established policies. I find that a thorough understanding of regulatory requirements helps guide my work and bolstering a culture of compliance within the organization.

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How do you collaborate with cross-functional teams when assessing risks?

Collaboration with cross-functional teams is crucial when assessing risks. I utilize project collaboration tools to facilitate communication and organize regular check-ins to gather diverse perspectives. This approach not only enhances decision-making but also builds consensus among various stakeholders regarding the best course of action.

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What is your method for documenting control guidelines and resolutions?

My method for documenting control guidelines and resolutions involves creating structured templates that ensure consistency. I document each step taken in response to identified risks, clearly articulating the rationale behind decisions made. This practice not only provides transparency but also serves as a reference for future assessments.

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Fannie Mae’s mission is to facilitate equitable and sustainable access to homeownership and quality, affordable rental housing across America.

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Full-time, remote
DATE POSTED
December 22, 2024

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