Data Scientist- Risk

2+ years of work experience in a modeling group at a commercial bank, investment bank, consulting firm, or fintech company

Solid understanding of machine learning techniques and AI capabilities

Strong programming skills in R, SQL, Python

Hands on experience with automated valuation models

Exposure to time-to-event/survival analysis problems or financial econometric modeling

Experience in handling unstructured data

Medical, Dental, and Vision Insurance:

Kiavi offers free employee-only coverage for medical, dental, and vision plans. Dependents receive a heavily discounted premium, competitively placed in the 90th percentile for cost.

Health Savings Account (HSA):

For those enrolled in a High Deductible Health Plan (HDHP), Kiavi provides an annual employer contribution to HSAs: $1,000 for individual coverage and $2,000 for dependents.

Disability and Life Insurance:

Immediate access to short-term and long-term disability insurance, as well as group life and AD&D insurance, with coverage at 1x annual salary.

Kiavi’s Risk Analytics team is seeking a talented Data Scientist to join us in our effort to reinvent real estate investment lending.

You will be working with the Director of Risk Analytics to tackle fun business problems related to credit risk management, asset valuation, process optimization, and more.

An ideal candidate should be able to utilize advanced data manipulation and modeling techniques to work on structured and unstructured data to solve complex business problems.

You’ll also have interaction with MLOps engineers, Product Managers, and Capital Markets subject matter experts to help drive select initiatives.

Develop and maintain innovative models for asset valuation.

This requires thorough statistical analysis of the underlying data and understanding of the various macroeconomic factors and risk factors that impact prices and liquidity in the real estate market.

Our Risk Analytics team is made up of 360-degree thinkers that analyze complex problems and come up with creative solutions. We love to combine advanced analytics and machine learning skills with deep domain knowledge about the business when creating solutions. You will work with some of the most fascinating data sets in the world, alongside a world-class group of product engineers, sales and marketing leaders, and business operators.