[Hiring] Data Scientist @Kiavi

Role Description

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. If you are keen on joining a dynamic company and working on intellectually challenging problems in a fast-paced environment, please reach out to us.

Key Responsibilities

• Develop and maintain innovative models for asset valuation, requiring thorough statistical analysis of the underlying data and understanding of various macroeconomic factors and risk factors that impact prices and liquidity in the real estate market.
• Develop models for portfolio management purposes such as value forecasting or market risk segmentation.
• Provide regular ongoing model performance assessments and enhance existing models.
• Develop analytical tools to support other teams.
• Drive initiatives to enhance data capabilities and streamline infrastructure in collaboration with the technology team.
• Work closely with engineers/data infrastructure team in designing useful data attributes.
• Perform exploratory analysis and make recommendations on improving current data models, decisioning frameworks, etc.
• Refactor existing analytic solutions to improve scalability.

Qualifications

• Bachelor's degree in a quantitative discipline (e.g., statistics, economics, finance, physics, mathematics) and 2+ years of work experience in a modeling group at a commercial bank, investment bank, consulting firm, or fintech company OR Advanced degree (PhD or MS) in a quantitative discipline.
• Statistical skills especially in model development at an account, customer, or asset level.
• Solid understanding of machine learning techniques and AI capabilities.
• Strong programming skills in R, SQL, Python.
• Team player with strong interpersonal skills.
• Excellent oral and written communication skills with the ability to explain technical concepts in practical terms.

Preferred Requirements

• Hands-on experience with automated valuation models.
• Exposure to time-to-event/survival analysis problems or financial econometric modeling.
• Experience in handling unstructured data.
• Experience with Spark.
• Experience with Monte Carlo simulation and/or Bayesian statistics.
• Progress towards FRM or CFA certification.

Benefits

• Medical, Dental, and Vision Insurance: Free employee-only coverage for medical, dental, and vision plans. Dependents receive a heavily discounted premium.
• Health Savings Account (HSA): 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.
• Remote Work Policy: Supports working remotely for most roles with a one-time office setup reimbursement of up to $500 and a monthly $85 stipend for internet and phone expenses.
• Flexible Time Off: Employees manage their own time off with no strict limits, as long as it's approved by their manager.
• Paid Leaves: Up to 8 weeks of paid leave for medical or caregiver purposes, and 12 weeks of paid maternity/paternity leave.
• 401(k) & Company Match: A 401(k) plan managed by Fidelity, with Kiavi matching 100% of contributions up to 3% of compensation or $8,000 (whichever is less).