OKX
Senior Product Analyst, Compliance Systems (Senior Business Analysis Manager)
Be an Early Applicant
The Senior Product Analyst will lead product analytics for Compliance & Identity, focusing on improving key metrics and ensuring regulatory compliance through data-driven decision-making, experimentation, and collaboration with multiple teams.
OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa.
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me, Do the Right Thing, and Get Things Done. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.
About the Opportunity What You’ll Be Doing
We are seeking a highly skilled Senior Product Analyst, Compliance (Senior Business Analysis Manager) to join our progressive data team.This role involves serving as the product analytics lead for our Compliance & Identity team, focusing on a suite of tools like KYC/KYB and sanctions screening. The primary objective is to improve key metrics such as pass rate, time-to-verify, and cost-per-approval by utilizing data, experimentation, and risk-based decisions. This position requires collaboration with various teams, including Product and Engineering, to set the product roadmap and ensure compliance with global regulations.
- Own the KPI tree for onboarding & compliance journeys, application conversion, pass rate, step-level drop-off, manual-review plus operational health metrics (e.g., queue SLAs, rework loops, operational analytics).
- Experimentation & optimization: Design/run A/B tests and pragmatic pre/post analyses on friction points, quantify conversion, risk and ops capacity.
- Partner with Compliance/DS to calibrate CRR thresholds, EDD triggers and tailoring for products and markets.
- Regulatory & audit readiness: Produce reproducible analyses and clear narratives explaining metric movements, decisions, and outcomes.
- Enable self-service: Build trustworthy, documented dashboards and curated datasets, so Compliance, Ops, and PMs can independently track performance and SLAs.
- Performance & drift monitoring: Build dashboards for model/rule health (precision/recall, alert mix, drift, data freshness/quality)
- Regulatory & audit readiness: Produce reproducible analyses, coverage assessments, and defensible narratives that explain metric movements and product outcomes to auditors and regulators.
- Partner with DS & Investigations: Translate typologies and investigator feedback into measurable product signals. Validate whether features/rules improve real-world outcomes.
- Stay informed on advancements in data analytics, product analytics practices, and trends in the financial services industry.
What We Look For In You
- Product analytics experience (mid to senior levels considered) in tech, fintech, regtech, traditional finance or risk industries. Comfortable owning metrics and decision frameworks end-to-end.
- Strong SQL skills and hands-on experience with big data and cloud technologies such as Hadoop, Hive, MaxCompute, Google BigQuery, or equivalent platforms is essential.
- Proficiency in Python for data analysis, feature engineering, and building analytics pipelines. Ability to complement SQL with Python-based workflows.
- Hands-on with BI and product analytics tools (e.g., DataWind,Tableau/Amplitude), capable of designing event taxonomies and reliable dashboards.
- Strong analytical and problem-solving skills, with the ability to draw insights and make strategic recommendations based on data, including statistical analysis and experiment design.
- Excellent communication skills and the ability to present complex data findings to stakeholders, including product or compliance teams and senior leadership.
- Collaborative and adaptable mindset, thriving in fast-paced and dynamic work environments.
- A proactive, self-motivated approach with a commitment to continuous learning and development.
- Nice to have: exposure to crypto/VASP regulations and typical AML data flows (KYC/KYB, CDD, EDD, CRR, TM, CMS)
Perks & Benefits
- Competitive total compensation package
- L&D programs and Education subsidy for employees' growth and development
- Various team building programs and company events
- Wellness and meal allowances
- Comprehensive healthcare schemes for employees and dependants
- More that we love to tell you along the process!
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Top Skills
Amplitude
Datawind
Google Bigquery
Hadoop
Hive
Maxcompute
Python
SQL
Tableau
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What you need to know about the Singapore Tech Scene
The digital revolution has driven a constant demand for tech professionals across industries like software development, data analytics and cybersecurity. In Singapore, one of the largest cities in Southeast Asia, the demand for tech talent is so high that the government continues to invest millions into programs designed to develop a talent pipeline directly from universities while also scaling efforts in pre-employment training and mid-career upskilling to expand and elevate its workforce.
