Credit Risk Strategist, Risk Foundations

Jobgether•New York, NY

1d•Remote

About The Position

In this role, you will play a pivotal part in shaping the credit risk strategy for a rapidly growing portfolio of businesses. You will collaborate with cross-functional teamsâincluding Data Science, Engineering, Product, and Operationsâto design and implement scalable systems that manage credit risk effectively. Your work will involve providing data-driven insights, refining decision-making tools, and supporting strategic initiatives to reduce potential losses while enabling growth. This position offers the opportunity to tackle complex problems, innovate in the payments and credit space, and make high-impact decisions that influence millions of merchants globally. It is ideal for a self-starter who thrives in a fast-paced, data-driven environment and is passionate about solving challenges at scale.

Requirements

6+ years of relevant professional experience in credit risk or related fields
Strong technical expertise, including intermediate SQL and the ability to leverage data to drive recommendations
Analytical mindset with experience in quantitative analysis and visualization
Self-starter with the ability to work independently and proactively identify gaps and create solutions
Excellent communication and collaboration skills to work effectively across teams
Demonstrated project management capabilities for cross-functional initiatives
Decisive yet open to learning, with the ability to make high-impact decisions quickly
Understanding of the challenges faced by new businesses and ability to balance enforcement with user experience

Nice To Haves

Familiarity with LLM agents and their application in risk management
Experience with Python or R for quantitative analysis
Background in consumer or commercial credit risk management
Previous collaboration with software engineering and product teams

Responsibilities

Support credit risk management efforts across a portfolio of millions of businesses
Provide data-driven recommendations and insights to inform credit strategy
Collaborate with Engineering, Product, and Data Science to develop systems and workflows that automate decision-making and augment investigations
Refine tools and processes to improve efficiency and performance of risk management operations
Monitor portfolio trends and account activity to identify opportunities to mitigate credit losses
Partner with cross-functional teams to scale risk management techniques across industries, geographies, and business models
Drive a risk-centric approach in product and infrastructure innovation