Senior Fund Risk & Anti-Fraud Strategy Architect

Bybit; Kuala Lumpur; On-site; MYR 120,000 - 180,000; Full time

Benefits offered by this job

Study Growth Fund

Internal Events

Global Collaboration

Career Advancement

Internal Mobility

Job summary

Bybit is seeking a skilled Risk Data Strategist to lead end-to-end fund risk strategy across wealth management, trading, and core products from its Kuala Lumpur office. You will design real-time risk controls, analyze large-scale transaction data, and drive iterative deployment with cross-functional teams.

Applicants should have a degree in statistics/CS/data science and 3–6 years in payment risk control, preferably with exposure to major digital wallets.

Qualifications

• Bachelor’s degree or above in Statistics, Mathematics, Computer Science, Financial Engineering or Data Science.
• 3-6 years of hands-on experience in payment / internet fund security / transaction anti-fraud risk control strategy.
• Experience at Alipay, WeChat Pay, leading consumer finance companies, or bank online payment risk control is preferred.

Responsibilities

• End-to-End Fund Risk Strategy System Building: Build real-time, layered risk control decision strategies across wealth management, trading, RWA, and core products.
• Risk Data Analysis, Loss Quantification & Adversarial Review: Use Hive SQL and Python to mine risks, monitor key metrics and produce thematic reports.
• Strategy Design, Gray Release Experimentation & Iterative Deployment: Design rule-based strategies, manage gray-release traffic, run A/B tests and integrate into production decision engines.

Skills

Hive SQL

Python

Risk analysis

Education

Bachelor’s degree or above in Statistics/CS/Math/Data Science

Tools

MaxCompute

Hive

Job description

Bybit is seeking a skilled Risk Data Strategist to lead end-to-end fund risk strategy across wealth management, trading, and core products from its Kuala Lumpur office. You will design real-time risk controls, analyze large-scale transaction data, and drive iterative deployment with cross-functional teams.

Applicants should have a degree in statistics/CS/data science and 3–6 years in payment risk control, preferably with exposure to major digital wallets.