Remote Data Scientist, Risk Analytics & Asset Valuation

Talantir; USA; Remote; USD 139.000 - 232.000; Vollzeit

Benefits dieser Stelle

Health insurance

Remote work policy

Flexible time off

Paid leaves

401(k) & company match

Zusammenfassung

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 tackle credit risk, asset valuation, and process optimization problems, using advanced data manipulation and modeling on structured and unstructured data.

You will collaborate with MLOps engineers, Product Managers, and Capital Markets experts to drive initiatives, leveraging statistics and ML to deliver practical business insights in a fast-paced

Qualifikationen

• 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

Aufgaben

• 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.
• Develop models for portfolio management purposes such as value forecasting or market risk segmentation.
• Closely provide regular ongoing model performance assessments and enhance existing models.
• Develop analytical tools to support other teams
• Working with the technology team, drive initiatives to enhance data capabilities and streamline infrastructure.
• 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.

Kenntnisse

Statistical modeling

R

SQL

Python

Machine learning

Communication skills

Teamwork

Spark

Ausbildung

Bachelor's degree in a quantitative discipline

Advanced degree (PhD or MS) in a quantitative discipline

Tools

Spark

Jobbeschreibung

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 tackle credit risk, asset valuation, and process optimization problems, using advanced data manipulation and modeling on structured and unstructured data.

You will collaborate with MLOps engineers, Product Managers, and Capital Markets experts to drive initiatives, leveraging statistics and ML to deliver practical business insights in a fast-paced