Data Analytics Manager

TL;DR

Data Analytics Manager (Risk Analytics): Researching and analyzing risk patterns on hirify.global platforms and deploying data-driven rules, strategies, and models to identify, measure, contain, and mitigate risks with an accent on fraud trading, spam registration, account takeover, and payment/card acquiring risk. Focus on building compliance-focused analytics that translate complex regulatory and operational data into executive-ready metrics and measurable efficiency gains.

Location: Asia

Company

hirify.global is a global blockchain ecosystem behind one of the world’s largest cryptocurrency exchanges.

What you will do

• Research and analyze risk patterns on hirify.global platforms (e.g., fraud trading, spam registration, account takeover, payment fraud).
• Deploy, monitor, and assess the effectiveness and stability of variables, rules, and models; iterate strategies regularly to improve the risk matrix.
• Partner with stakeholders to develop new rules and strategies with an optimized balance between user experience and risk mitigation.
• Use business-centric analytics to streamline compliance operations, reduce friction, and drive measurable efficiency improvements.
• Define success for the Compliance function by co-developing north-star metrics, performance frameworks, and decision criteria.
• Lead and develop the Compliance Data Analytics team, building a high-performance culture and maximizing team impact.

Requirements

• Bachelor’s degree or above in mathematics, statistics, computer science, or a related field.
• At least 5 years of data analysis/data mining experience, with risk analysis background (financial derivatives or eComm platforms preferred).
• Proficiency in SQL and at least one professional analysis tool such as Python or R.
• Strong problem-solving and analytical skills, with good coordination and communication.
• Knowledge of blockchain, payments, and risk domain is a plus.

Culture & Benefits

• Work-from-home arrangement (may vary depending on the business team and work nature).
• Competitive salary and company benefits.
• Fast-paced, autonomy-driven work in a user-centric global organization.
• Opportunities for career growth and continuous learning.

Hiring process

• Interviews and evaluation focused on analytics, risk thinking, and stakeholder collaboration.