Director of Data Science
About Us
At ClarityPay, we're redefining the point-of-sale credit market to bring more value to merchants. Based in NYC and Atlanta, our fast-growing fintech empowers large merchants with configurable “Pay-Over-Time” tools— including monthly installments, BNPL, and revolving products. We solve complex credit challenges with speed, precision, and intelligence—combining deep expertise with advanced tech to deliver better outcomes, every time.
Our clients rely on us to help them serve their customers, grow, and build loyalty. Our values guide everything we do: we put merchants first, stay data-driven, always know the why, learn relentlessly, and win together as a team. This clarity of purpose fuels our commitment to delivering exceptional customer experiences at speed and scale.
About The Role
The Director of Data Science — Credit Risk & Decisioning will own ClarityPay's predictive modeling strategy for consumer credit. You will lead the end-to-end development of Probability of Default (PD) models, Loss Given Default (LGD) frameworks, and behavioral scoring systems that power our origination and portfolio management decisions.
You will work at the intersection of risk, pricing, and product — translating raw applicant, bureau, and behavioral data into production-grade models that directly influence approval rates, pricing tiers, and portfolio loss curves. This is a hands-on leadership role: you will write code, build models, and own outcomes, while also mentoring junior data scientists and partnering with Engineering, Finance, and the Capital Markets team.
KEY RESPONSIBILITIES
PD & Credit Risk Modeling
- Own the full lifecycle of Probability of Default (PD) models for installment loan and BNPL originations — from feature engineering through champion/challenger deployment and ongoing monitoring
- Build and maintain LGD and EAD models to support expected loss calculations and pricing optimization
- Develop vintage-level loss curves and roll-rate frameworks...