TL;DR

Manager 2, AI Science (Fintech): Leading a team of AI scientists and MLEs to develop and execute AI solutions for credit risk and lending within the fintech domain with an accent on building high-performing teams and driving operational excellence. Focus on applying advanced statistical, machine learning, and AI methods to solve complex problems and influence strategic decisions.

Location: Mountain View, California

Company

%hirify_global% is the global financial technology platform that powers prosperity for the people and communities we serve.

What you will do

Lead a team to manage the efficient growth and execution of AI solutions for credit risk for lending and capital.
Provide technical leadership in applying advanced statistical, machine learning, AI, and experimental design methods to complex problems.
Lead the execution of new AI solutions from ideation towards production in the domain for direct lending credit risk and capital.
Provide clear, actionable recommendations to senior leaders to influence shaping of strategic decisions through data-driven insights.
Translate business and AI strategies into well-defined analytical projects and manage end-to-end execution.

Requirements

MS or PhD in Statistics, Computer Science and Engineering, AI, ML, Applied Math, or related field.
10+ years of experience in ML, AI, statistics, and related fields, with a proven track record of delivering measurable business impact and bringing AI solutions into production.
3+ years of experience in application of AI and Data science in Credit risk direct lending and capital.
3+ years of experience in leading and managing a high performing team.
Excellent communication skills, including in business writing and presentations at an executive level.
Strong money movement domain expertise required, in the domains of direct lending, capital, credit and financial risk.

Culture & Benefits

%hirify_global% provides a competitive compensation package with a strong pay for performance rewards approach.
Eligible for a cash bonus, equity rewards, and benefits, in accordance with applicable plans and programs.
Regular comparisons across categories of ethnicity and gender to drive ongoing fair pay for employees.

Manager 2, Ai Science (Fintech)