MJ MJ Panda

Mrutyunjaya "MJ" Panda

Chief Operating Officer • FinTech Executive • AI, Risk & Data Systems Architect

MJ

I am an executive operations leader and systems strategist operating at the intersection of fintech, enterprise intelligence, and risk architecture.

As Chief Operating Officer at ClarityPay, I lead the company’s end-to-end operating engine—spanning core business operations, capital recovery strategy, and merchant underwriting & partner risk governance, alongside our Data, AI/ML organization, and Centralized Process Office. My focus is engineering a closed-loop platform where operational scaling and workflow instrumentation continuously emit structured telemetry, empowering our causal AI models to refine credit policies, mitigate portfolio loss, and drive sustainable merchant commerce.

Across my career at Goldman Sachs and American Express, I have focused on advancing machine learning-driven causal models, launching non-card lending platforms, and executing large-scale enterprise merchant partnerships. My operating philosophy centers on marrying rigorous analytical decision-making with high-velocity engineering execution to build compounding enterprise moats.

Press & In the News

Operating Principles

01

Telemetry & Compounding Moats

Operations without telemetry scale linearly with headcount; operations instrumented for event emission compound exponentially with data.

02

Decision Rigor Under Uncertainty

Ground critical decisions in causal statistical modeling, continuous calibration, and clear feedback loops rather than static heuristics.

03

High-Agency Execution

Empower high-throughput teams with clear strategic boundaries and decisive ownership rather than prescriptive committee control.

04

Write to Clarify

Structured memos and architectural RFCs eliminate organizational ambiguity and align distributed leadership around shared conviction.

Career Highlights

Present

Chief Operating Officer (COO) — ClarityPay

Enterprise FinTech & Point-of-Sale Credit Solutions

Leading the end-to-end operating engine—spanning core business operations, capital recovery strategy, and merchant underwriting & partner risk governance, alongside the Data, AI/ML organization, and Centralized Process Office to scale tailored credit programs and compound decision intelligence.

Leadership

Risk & Causal ML Modeling — Goldman Sachs

Predictive Modeling & Risk Architecture

Advanced machine learning-driven risk models and data architectures, building scalable analytical frameworks for credit underwriting and portfolio risk.

Leadership

Lending Innovation & Causal ML — American Express

Non-Card Lending Platforms & Enterprise Partnerships

Co-developed innovative non-card lending platforms and large-scale retail commerce solutions, leveraging large-scale customer data to strengthen decision-making rigor.