Vp in Hong Kong

We are looking for a hands-on VP, Product Analytics to lead Product Analytics and build an AI-native analytics operating system across the company’s crypto, stocks, prediction markets, perpetuals, and stock futures products. You will set the analytics strategy, lead and develop the Product Analytics team, and ensure data consistently shapes product and business decisions. This is a player-coach role: you will operate at executive level while remaining technically close enough to review PRs, guide data modeling and pipeline design, and challenge analytical conclusions. You will own product and business reporting, experimentation, release measurement, diagnostic analysis, the Amplitude data stack, and the systems through which analytics work is delivered at scale. Lead Product Analytics Set the vision, priorities, operating model, and quality standards for Product Analytics. Hire, coach, and develop a high-performing team. Review analytical and data-engineering PRs, providing guidance on SQL, data models, pipelines, metric definitions, and methodology. Represent Product Analytics in executive and product decision-making. Allocate team capacity toward the company’s highest-impact opportunities. Build an AI-native analytics operating system Design how analytics work moves from business questio

The Trading Infrastructure team is building a high-performance, front-to-back Trading Platform that supports multi-asset trading. The platform is designed to handle financial instruments with low-latency execution, robust risk controls, and seamless integration across trading, risk, operations, and finance workflows. The system is built with a modular architecture encompassing core components such as market data feeds, order gateways, execution algorithms, risk engines, UI dashboards, middle office reconciliation, and account infrastructure. We emphasize event-driven, deterministic system design, real-time observability, and strong security. Our tech stack includes Java (low-latency), Python, Web UI (React/Ag-Grid), Aeron, ClickHouse, Kubernetes, and modern CI/CD tooling, with a strong focus on automation, scalability, and performance. AI-assisted development tools are also leveraged to boost productivity and quality across the team. Responsibilities Design, provision, and maintain scalable infrastructure for our trading systems, including CI/CD pipelines, observability stack, and runtime environments. Administer and tune databases such as AWS Aurora, PostgreSQL, and ClickHouse. Automate provisioning and configuration of EC2 and related resources using Ansible and other infrastructure-as-code tools (e.g., Terraform). Ensure secure, stable environments through proper VPC design, IAM governance, and secret management. Build and maint