Risk Control Principal Product Specialist

Role Overview

Own the full lifecycle of our fiat risk control products, covering fraud prevention and AML across high-frequency fiat deposit, withdrawal, and payment flows. The focus is on the underlying risk mechanisms: how transactions are screened, scored, held, and released in real time. Combine risk insight with business needs to plan, design, iterate, and optimize an efficient, intelligent risk control system that protects the platform without adding unnecessary user friction.

Key Responsibilities

Risk Mechanism & Product Design

Own the roadmap for fiat and payment risk control systems, including transaction monitoring and fraud detection

Design and iterate on core mechanisms such as rule engines, decision flows, risk tiering, holds and releases, and automated interdiction

Define the logic behind risk parameters (limits, velocity thresholds, triggers, escalation paths) and balance risk coverage against user friction

High-Frequency Transaction Risk

Design controls that operate under high concurrency and strict latency requirements across fiat on/off-ramp, card acquiring, card issuing, and payment transaction risk control

Work with Engineering on real-time data pipelines, rule execution performance, fallback and degradation strategies, and stability under peak load

Detect and close gaps around abnormal patterns such as velocity abuse, account takeover, card fraud, chargebacks, mule accounts, and structuring

AI-Powered Risk Control Capabilities

Use AI to improve user conversion rates and reduce blockers in risk control flows

Optimize risk-related communications delivered to customers during transactions

Use AI to proactively guide users through document submission and identity verification, helping them resolve account restrictions or blocks imposed by risk controls

Requirement Analysis & Product Planning

Explore risk control requirements across business scenarios; combine industry trends and company strategy to set long-term plans and short-term iteration goals

Produce high-quality PRDs that define functionality, performance, security, and other standards

Delivery & Cross-functional Collaboration

Lead prototype design and implementation; coordinate Technology, Data, Compliance, and Operations to deliver on time and at quality

Communicate the value and usage guidelines of risk products, answer questions, and ensure risk strategies are implemented effectively across business lines

Translate AML requirements into product capabilities, including transaction monitoring scenarios, sanctions and watchlist screening, and suspicious activity workflows

Support audit and regulatory inquiries with clear documentation of risk logic

Data Analysis & Optimization

Continuously monitor product data and evaluate the effectiveness of risk strategies and product features

Define metrics (false positive rate, interception rate, fraud loss rate, case handling time, decision latency) and drive data-based iteration

Run back-testing and A/B validation before rule or model rollout

Build feedback loops between case management, operations, and strategy tuning; support incident handling, root cause analysis, and post-incident reviews

Requirements

Bachelor's degree or above in Computer Science, Mathematics, Statistics, Finance, Engineering, or a related field

3+ years of experience in risk control product design, with familiarity with the risk control processes of at least one field such as payments, credit, or e-commerce; experience in high-volume transaction environments strongly preferred

Has led complete risk control product design and launch projects

Hands-on experience in risk strategy formulation, model building, and rule engine design

Solid understanding of fraud and AML mechanisms: rule engines, risk scoring, transaction monitoring, sanctions screening, and real-time decisioning

Familiarity with fiat payment flows, including card schemes (Visa/Mastercard), bank transfers, chargebacks, and payment fraud typologies

Familiar with risk control technologies and tools (risk models, anti-fraud systems, decision engines) and the application of machine learning in risk control

Strong data analysis skills: SQL and Python for data extraction, analysis, and visualization

Able to discuss system design (latency, throughput, data consistency) credibly with engineers

Familiar with financial regulations and regulatory policies, with a strong sense of compliance

Strong logical thinking, problem-solving, communication, and coordination skills; able to drive alignment with Compliance and Operations

Rigorous and responsible, with strong stress resistance in high-pressure environments

Fluent English; Mandarin is a plus

Nice to Have

Experience at a crypto exchange, bank, payment company, or fintech

AI knowledge is a plus for this role