Finance - Quantitative Engineering - Lead Associate
- Washington, DC, United States
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Job details
- Experience
- 4 years of experience
- Posting language
- English
- Posted
Original job description
Playing an essential role in the U.S. economy, Fannie Mae is foundational to housing finance. Here, your expertise can help fuel purpose-driven innovation that expands access to homeownership and affordable rental housing across the country. Join Fannie Mae to grow your career and help people find a place to call home.
Job Description
As a valued colleague on our team, you will act as team lead for the development and implementation of 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, as well as coach and mentor team members.
THE IMPACT YOU WILL MAKE
The Finance - Quantitative Engineering - Lead Associate 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:
- Apply advanced skill, knowledge, and/or experience while leading teams in translating complex mathematical, business, and financial modeling logic into software code, as well as design and execute modeling application systems via distributed computing both on premise and on external cloud to achieve efficiency, scalability, and modularity.
- Lead the design and execution of test cases for modeling and analytical software applications to ensure they meet business needs and model requirements. Consider multiple interrelated systems, processes, or models to assess model implementation quality and production control risk.
- Develop system requirements for model and analytical applications, such as computing power, storage, network, and security.
- Recommend technology platforms and architecture designs for model applications to ensure robust and scalable execution.
- Lead the evaluation of emerging technologies and industry best practices of model and analytical system implementation.
THE EXPERIENCE YOU BRING TO THE TEAM
Minimum Required Experiences
- 4 years of experience
Desired Experiences
- Bachelor degree or equivalent
Qualifications
Education:
Bachelor's Level Degree (Required) The future is what you make it to be. Discover compelling opportunities at Fanniemae.com/careers.
For most roles, employees are expected to work onsite on a regular basis at their designated office location. In-office work cadence is determined by your manager. Proximity within a reasonable commute to your designated office location is preferred unless the job is noted as open to remote.
Fannie Mae is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, religion, sex, national origin, disability, age, sexual orientation, gender identity/gender expression, marital or parental status, or any other protected factor. Fannie Mae is committed to providing reasonable accommodations to qualified individuals with disabilities who are employees or applicants for employment, unless to do so would cause undue hardship to the company. If you need assistance using our online system and/or you need a reasonable accommodation related to the hiring/application process, please complete this form.
The hiring range for this role is set forth below. 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.
Requisition compensation:
141000to 184000
More about this job
Skills
- Reporting
- Risk management
- IMPACT
- Financial modelling
- Distributed computing