Lead Quantitative Engineer | Fannie Mae | $135k-$176k | Remote (USA)

Lead Quantitative Engineer | Fannie Mae | $135k-$176k | Remote (USA)

135,000 - 176,000 / year
Remote US
Application ends: August 10, 2024
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Job Description

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 Lead Quantitative Engineer 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.


Qualifications

THE EXPERIENCE YOU BRING TO THE TEAM

Minimum Required Experiences

  • 4 years
  • Bachelor degree in applied mathematics, Statistics, Economics, Finance, Computer Science, Engineering or equivalent experience

Desired Experiences

  • Bachelor’s degree with 6 years or Master’s degree with 4 years or equivalent experience in applied mathematics, Statistics, Economics, Finance, Computer Science, Engineering
  • Experience working with various stakeholders across Finance, Capital Markets and other lines of business
  • Proactive, creative problem solver with strong analytical skills. Must be able to define problems as well as potential solutions
  • Strong programming experience in coding and debugging in C++, Python
  • Proficiency in Unix/Linux environment
  • 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 with the implementation and creation of various models and algorithms including regression and statistical models. Experience working with financial data, analytics, and cashflows applications
  • Expert in AWS cloud architecture and operations
  • Proficiency in Web Services, APIs, and DevOps practices
  • Proficiency in Networking, Virtualization and Security concepts on AWS cloud
  • Experience working in teams operating under an Agile Scrum delivery methodology


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 careers_mailbox@fanniemae.com. #LI-ME1