Capital Markets CFO - Financial Engineering - Senior Associate

Fannie Mae
05 May 2021
06 May 2021
Job role
Contract type
Full time
Company Description: At Fannie Mae, futures are made. The inspiring work we do makes an affordable home a reality and a difference in the lives of Americans. Every day offers compelling opportunities to impact the future of the housing industry while being part of an inclusive team thriving in an energizing environment. Here, you will help lead our industry forward and make your career. Job Description: As a valued colleague on our team, you will contribute to supporting the team in applying mathematical models, advanced tools or techniques (such as SAS, Python, and R), and financial industry knowledge to business or financial data, including model results. Your efforts will enable the team to analyze or report on business performance, solve business questions, or inform business decisions. Work may include developing models or prototypes to achieve these goals, but is not the core focus in the role. THE IMPACT YOU WILL MAKEThe Capital Markets CFO – Financial Engineering – Senior 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:* Collaborate on processing or analyzing large amounts of data efficiently using advanced financial engineering tools and techniques. Determine customer's intended uses for a financial analysis or model. * Build end–to–end reporting processes in tools like SQL or Python* Conduct financial analysis or forecasting, which may include scenario or sensitivity analysis, stress testing, or attribution analysis.* Execute models and/or interpret model results. Translate the results from the analysis or models for the customer into understandable conclusions.* Work directly with model builders to vet new models, suggest changes to existing models, or analyze model performance data.* Perform data and systems analysis, validation, and regression testing.Qualifications: THE EXPERIENCE YOU BRING TO THE TEAMDesired Experience* 4 years of work experience* Bachelor degree or equivalent in Business Analytics, Economics, Statistics, Mathematics, Finance or related subject area or equivalent demonstrated experience.* Masters or MBA is well regarded but not required.* Experience in financial services/banking industry is well regarded but not required.Skills* 2+ years of relevant experience * Expertise in using statistical methods, including developing and testing hypotheses, using experimental design, and running linear and logistic regressions* Strong SQL coding and developing skills* Experience with financial modeling and forecasting including cash flow modeling and valuation* Experience programming with R/Python along with some experience with Tableau or other visualization software* Experience in the process of analyzing data to identify trends or relationships to inform conclusions about the data* Experience gathering accurate information to explain concepts and answer critical questions* Skilled in the graphical representation of information in the form of a charts, diagrams, pictures, and dashboards with programs and tools such as Excel, Tableau, or Power BI* Business Insight including advising, designing business models, interpreting customer and market insights, forecasting, benchmarking, etc.* Strong written, verbal, and graphic communication skills to concisely communicate in a way that provides context, offers insights, and minimizes misunderstanding.* Working with people with different functional expertise respectfully and cooperatively to work toward a common goal* Influencing skills including negotiating, persuading others, facilitating meetings, and resolving conflict* Determining causes of operating errors and taking corrective action* The group of skills related to Relationship Management including managing and engaging stakeholders, customers, and vendors, building relationship networks, contracting, etc.* Skilled in Excel, SQL, Python (data libraries and process automation), SAS and TableauAdditional Information: The future is what you make it to be. Discover compelling opportunities at 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 .