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, under limited supervision, perform business analysis, write requirements and acceptance criteria for all components of financial models, cash flow simulations, P&L, and risk metrics calculations in end-user or production computing systems for use in business decisions, financial and regulatory reporting, and risk management.
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THE IMPACT YOU WILL MAKE
The Senior Business Analyst - Modeling and Analytics 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:
- Translate complex business requirements from Trading and Risk Management business lines into requirements, system specifications and testing needs.
- Design and execute test cases for modeling and analytical software applications to ensure they meet business needs and model requirements.
- Perform Model Governance activities to align with Model Management lifecycle and engage with Model Risk Management to address Model Risk activities
- Perform Backlog management, User Engagement and Prioritization in alignment with Agile Processes.
- Research and evaluate emerging products and industry best practices of model and analytical system software.
Qualifications
THE EXPERIENCE YOU BRING TO THE TEAM
Minimum Required Experiences
- 2 years of relevant experience
- Bachelor degree in applied mathematics, Statistics, Economics, Finance, Computer Science, Engineering or equivalent experience
Desired Experiences
- Bachelor's degree with 4 years or Master's degree with 2 years or equivalent experience in Applied mathematics, Statistics, Economics, Finance, Computer Science, Engineering
- Proactive, creative problem solver with strong analytical skills. Must be able to define problems as well as potential solutions
- 4 years experience in Financial Services industry working with Business users in Trading, Risk Management, Capital Markets
- Strong analysis, problem solving capabilities and ability to break down a complex problem or requirement into Agile features and stories
- Proficiency with using Agile tools like JIRA, Confluence, Microsoft Office tools
- Expertise in visualizing data to identify, summarize and explain observed data patterns
- Experience with econometric modeling, statistical analysis, and working with large data sets
- Experience working in teams operating under an Agile Scrum delivery methodology
Additional Information
REF13573N
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.