Multifamily Financial Engineering Model Advisor (Flexible Hybrid)

ial engineering tools and techniques. Determine customer's intended uses for a financial analysis or model.

• Apply complex solution to 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.
• Provide advanced solutions to model builders to vet new models, suggest changes to existing models, or analyze model performance data.
• Analyze results from data and systems analysis, validation, and regression testing.

Qualifications
THE EXPERIENCE YOU BRING TO THE TEAM

Minimum Required Experiences.

• 6 years

Skills

• Expertise in using statistical methods, including: developing and testing hypotheses, using experimental design, and running linear and logistic regressions
• Business Insight including advising, designing business models, interpreting customer and market insights, forecasting, benchmarking, etc.
• Communication including communicating in writing or verbally, copywriting, planning and distributing communication, etc.
• Risk Assessment and Management including evaluating and designing controls, conducting impact assessments, identifying control gaps, remediating risk, etc.
• Programming including coding, debugging, and using relevant programming languages
• 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
• Experience in the process of analyzing data to identify trends or relationships to inform conclusions about the data
• Experience identifying measures, or indicators of system performance, and the actions needed to improve or correct performance to achieve desired outcomes
• Ability to frame ideas as systems and analyzing the inputs, outputs, and process
• Skilled in cloud technologies and cloud computing

Desired Experiences.

• Bachelor degree or equivalent
• Statistical and AI/ML modeling and experience
• Corporate finance knowledge and analytics experience
• Excellent written and verbal communication skills