Profit-Driven Risk Manager — Data, ML & Growth

Kafene; New York (NY); On-site; USD 95,000 - 130,000; Full time

Benefits offered by this job

Healthcare coverage 80%

401(k) from day one

Flexible paid time off

Job summary

Kafene’s Risk team is seeking a Risk Manager to bolster profit-driven underwriting strategies. You will leverage ML, multiple data sources, and collaborate with technology and leadership to optimize credit and fraud risk across underwriting, portfolio management, and collections.

You will translate data into actionable insights, run A/B tests, build dashboards, and monitor metrics across the customer lifecycle. A Master’s in a quantitative field and 2+ years in financial analytics are required.

Qualifications

• Master’s degree in a quantitative discipline such as Statistics, Operations Research, Economics, Engineering, Data Science, or other STEM majors.
• Minimum 2 years in the financial industry in an analytical function.
• High proficiency in business reporting and tools like Power BI and Tableau.
• High-level proficiency in Python, SQL, SAS or similar data tools.
• Experience extracting insights from data analysis in financial services.

Responsibilities

• Perform quantitative analyses and ML modeling using diverse data sources to understand risk and opportunities.
• Translate data into insights and design strategies to drive profitable growth; present to CRO and CEO.
• Design and manage A/B tests, pilots, and experiments with defined success criteria.
• Build dashboards and reporting infrastructure for real-time strategy monitoring.
• Monitor acquisition and portfolio performance related to credit risk and fraud across the lifecycle.
• Evaluate performance across macroeconomic environments to define risk appetite.
• Collaborate with tech, product, and cross-functional teams to ensure validated implementations.

Skills

Power BI

Tableau

Python

SQL

SAS

Data mining

Education

Master's degree in quantitative discipline

Tools

Enterprise Miner

Job description

Kafene’s Risk team is seeking a Risk Manager to bolster profit-driven underwriting strategies. You will leverage ML, multiple data sources, and collaborate with technology and leadership to optimize credit and fraud risk across underwriting, portfolio management, and collections.

You will translate data into actionable insights, run A/B tests, build dashboards, and monitor metrics across the customer lifecycle. A Master’s in a quantitative field and 2+ years in financial analytics are required.