Fintech Algorithm Lead

Role Introduction
You will own a frontier algorithm topic and take it from research all the way to production — design, train, evaluate, deploy — and be accountable for its online performance. We don't give you a task list; we give you a sufficiently large problem and a rare dataset in the industry: multi-domain behavioral data across payment, mobility, food delivery, and credit, for the same cohort of users, spanning the full temporal scale from millisecond-level event tracking to daily / weekly-level transactions. The methodology is yours to define; we only care about how far you can push this problem.
Key Directions
You may own a topic (examples, not exhaustive). We want you to go deep in one direction and become its owner, rather than executing all tasks simultaneously (we're not looking for a generalist, but someone who can go deep in one direction, design experiments to reach reliable conclusions, and dare to bring frontier methods to production):
Financial Behavior Sequence Foundation Model — Pre-training objectives, tokenization architecture, scaling, multi-source data mixing ratios, Account-Card dual-dimension and cross-temporal-scale fusion are all open research questions on this line;
Representation Learning and Self-Supervised Learning — Contrastive learning, masked prediction, cross-modal fusion, enabling one set of representations to serve multiple downstream scenarios;
Identity Recognition and Biometric Verification — Model capabilities in remote identity verification, liveness detection, comparison, and anti-attack, supporting identity trust across the full chain of account opening and payment.
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