Чем предстоит заниматься
Build an end-to-end foundation model over financial event sequences - transactions, credit bureau data, and in-app behavioral events with subsequent fine-tuning for downstream business tasks: underwriting (PD), credit limit strategy, fraud detection, collections, and propensity models
Drive technical decisions end-to-end: methodology → implementation → performance and latency → robustness, interpretability, and regulatory compliance
Take models from research to production: training infrastructure, evaluation frameworks, model serving, latency/cost optimization, and monitoring
Research state-of-the-art approaches in the industry, publish your own work, and speak at leading conferences
Mentor senior engineers and scientists; own technical standards for model development across the team (design reviews, evaluation methodology, deployment practices)
Communicate results clearly to cross-functional stakeholders: product, risk, business, and leadership