Data Scientist Advisor (Flexible Hybrid)

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 with product and/or business owners, data engineers, and platform teams to understand business needs and current capabilities, data availability, and alternative uses.
• Design advanced modeling and machine learning applications to support credit risk management, stress testing, property valuations, and business performance for parts of products or initiatives.
• Apply insights from analysis and market trends to develop assumptions and scenarios to perform credit risk and regulatory capital forecasting and stress testing, key assumption sensitivities, and other analytics as necessary.
• Manage monthly risk reporting and provide insightful commentaries that highlight existing and emerging risk trends to help senior management make effective strategic decisions
• Design data visualizations, technical documentation, and non-technical presentation materials to communicate new ideas and high-impact solutions to business partners.

Qualifications
THE EXPERIENCE YOU BRING TO THE TEAM
Minimum Required Experience

• Advanced Degree in Data Science, Economics, Math, Statistics, or a related field
• 6 years of research or industry experience in quantitative finance, economics, credit risk modeling or big data analytics using R, Python or SQL
• Relevant exposure to real estate valuation approaches for both single-family and multifamily properties.

Desired Experiences

• Proven track record of successfully designing and delivering statistical, data science and analytics projects that have strategic business impact with scalability requirements
• Experience with advanced statistical sling methods, A/B testing, Montecarlo simulation and variance reduction techniques
• Familiarity with corporate finance and CECL accounting, Basel III, Regulatory Capital Requirements and DFAST.
• Strong business acumen with the ability to digest complex issues and communicate in a concise manner to influence desired outcomes.
• Cross-functional business skills with excellent facilitation and communication skills, strong influencing skills, and ability to effectively present to and work with senior management
• Experience mentoring and leading junior analysts and data engineers
• Adept at managing multiple projects through effective planning, developing product roadmaps, delegating and managing people and timelines to ensure successful project completion.
• Skilled in AWS Machine Learning tools such as SageMaker, Lex, Polly, or Forecast
• Experience using Tableau, MicroStrategy and other data visualization tools