1,979,292open jobs
116,735companies
253,610added this week
Browse all
Salary
$143k – $214k per year
Location
In office (New York)
Seniority
Senior · 7+ years exp

Confirmed on the employer's own hiring board on Oct 25, 2026. First seen by Alion on Sep 29, 2026. OKX scores A on the Alion truth index.

Overview
Company
Impact
Profile match

OKX

OKX is a global cryptocurrency exchange and Web3 technology company founded in 2017 and among the largest venues by trading volume. It offers spot, margin, futures, options and perpetual swap markets across hundreds of digital assets, alongside earn products, copy trading and institutional custody and prime services. The company also runs one of the most used self-custodial wallets and a decentralised exchange aggregator that connects to dozens of chains, and it operates the OKB token and the X Layer network, with major operational hubs in Singapore, Hong Kong, Dubai and San Jose.

Who We Are

At OKX, we believe the future will be reshaped by crypto and blockchain technology. We operate a leading global crypto platform and build products and services designed to expand access to the digital-asset ecosystem.

Across our global organization, we value ownership, sound judgment, collaboration, innovation, and the ability to operate effectively in a fast-moving and continuously evolving environment.

Recruiting should insert the current approved OKX corporate “Who We Are” language when the position is posted.

About the Team

The Fraud Investigations Team (FIT) is a First Line of Defense function within OKX’s Risk organization responsible for identifying, assessing, investigating, and helping manage significant internal and external fraud risks affecting the company, its customers, personnel, and operations.

FIT conducts and supports complex investigations involving digital assets, internal and external fraud, employee misconduct, insider threats, unauthorized access or misuse of information, vendor and third-party misconduct, account compromise, social engineering, collusion, conflicts of interest, and other significant fraud-related matters.

The team works closely with Legal, HR, Information Security,Engineering, Physical Security, Compliance, Finance, Operations, and other functions across OKX.

About the Opportunity

We are looking for an experienced Senior Analyst, Blockchain Investigations &FraudIntelligence to join FIT.

This is first and foremost a blockchain investigations role requiring significant hands-on expertise tracing digital assets across complex blockchain ecosystems. The successful candidate must be capable of independently conducting sophisticated on-chain investigations, developing and testing attribution hypotheses, identifying relationships among wallets and entities, following assets through multiple chains and protocols, and translating highly technical blockchain activity into clear investigative findings.

Blockchain analysis is a specialized investigative discipline. Accordingly, we are seeking someone who understands not only how to operate commercial tracing platforms, but also the underlying blockchain architecture, transactional mechanics,attribution methodologies, clustering techniques, tracing limitations, and evidentiary considerations necessary to reach reliable conclusions.

The role extends beyond on-chain analysis. The Senior Analyst will combine blockchain intelligence with enterprise data, system logs, transactional records, open-source information, and other evidence to support complex fraud and insider-risk investigations.

The position will also provide analytical support to the Global Physical Security Team (PST) on selected protective-intelligence and threat-assessment matters.

The Senior Analyst will directly manage one Analyst and will be expected to serve as a subject-matter resource for blockchain investigations and analytical methodology across FIT.

What You’ll Be Doing

Blockchain Investigations & Digital-Asset Intelligence

  • Lead and conduct complex blockchain investigations and transaction tracing across multiple wallets, counterparties, entities, blockchains, tokens, protocols, and digital-asset ecosystems.

  • Trace the origin, movement, conversion, layering, consolidation, and ultimate disposition of digital assets, including activity spanning multiple intermediaries and blockchain environments.

  • Conduct investigations using tools such as ChainalysisReactor, TRM Labs, Elliptic, or comparable blockchain intelligence platforms, while understanding the methodologies and limitations underlying platform-generated attribution.

  • Analyze activity involving centralized exchanges, self-hosted wallets, decentralized exchanges, cross-chain bridges, mixers, privacy-enhancing technologies,DeFiprotocols, smart contracts, stablecoins, NFTs, OTC activity, gambling platforms, and other relevant ecosystems.

  • Trace assets across multiple chains and cross-chain transactions, identifying continuity of funds where technically supportable and clearly documenting assumptions or limitations where definitive attribution is not possible.

  • Analyze transaction graphs, address relationships, behavioral patterns, clusters, counterparties, timing, amounts, transaction sequencing, and other relevant blockchain indicators.

  • Understand and appropriately apply wallet-clustering andattributionmethodologies, including the limitations and potential for false attribution associated with particular heuristics.

  • Independently evaluate blockchain intelligence rather than relying solely on automated labels, risk scores, or vendor-generated attribution.

  • Corroborate on-chain findings, where appropriate, with internal account records,KYC/KYBinformation, transaction data, access information, open-source intelligence, legal-process returns, or other available evidence.

  • Identify relationships among blockchain addresses, OKX accounts, external counterparties, individuals, organizations, vendors, affiliates, and other relevant entities.

  • Reconstruct complex transaction flows and create clear fund-flow diagrams, transaction maps, timelines, and visualizations that allow investigators and nontechnical stakeholders to understand the movement of assets.

  • Analyze blockchain activity associated with suspected fraud, theft, account takeover, social engineering, insider activity, collusion, payment diversion, asset misappropriation, or other misconduct.

  • Identify new wallets, counterparties, entities, or transactional patterns that may generate additional investigative leads.

  • Clearly document the methodology, assumptions, confidence level, and limitations associated with blockchain findings.

  • Distinguish between confirmedattribution, vendor attribution, analytical inference, behavioral similarity, and an unverified investigative hypothesis.

  • Avoid presenting blockchain proximity, exposure, clustering, or a commercial risk score alone as proof of ownership, control, intent, or misconduct.

  • Maintain current knowledge of emerging blockchain technologies, protocols, tracing methodologies, obfuscation techniques,fraudtypologies, and developments affecting blockchainattributionor investigations.

FraudInvestigations & Investigative Intelligence

  • Conduct and support investigations involving internal and externalfraud, employee misconduct, insider threats, vendor and third-party misconduct, collusion, conflicts of interest, asset misappropriation, unauthorized access, credential misuse, and other significant fraud risks.

  • Combine blockchain findings with off-chain evidence to develop a comprehensive investigative picture rather than treating blockchain activity in isolation.

  • Develop investigative hypotheses and objectively test those hypotheses against available evidence, including information that supports, contradicts, or fails to establish the hypothesis.

  • Conduct timeline reconstruction, link analysis, relationship mapping, pattern analysis, clustering, and comparative analysis across individuals, accounts, wallets, devices, systems, transactions, and entities.

  • Support investigations involving account takeover, impersonation, social engineering, business-email compromise, payment diversion, affiliate misconduct, and trusted-party abuse, particularly where a digital-asset, employee, vendor, or enterprise nexus exists.

  • Analyze vendor, affiliate, partner, and other third-party activity for indicators of billing irregularities, undisclosed relationships, conflicts of interest, unusual payments, control circumvention, or other potential misconduct.

  • Support investigative interviews by developing transaction timelines, identifying inconsistencies or information gaps, organizing evidence, and identifying appropriate areas for follow-up.

Enterprise Data & Insider-Risk Analytics

  • Analyze appropriately authorized information including system and access logs, authentication records, audit trails, customer-account activity,KYC/KYBinformation, transaction records, payment information, case-management records, vendor information, and relevant security telemetry.

  • Correlate blockchain activity with enterprise data to identify possible connections among wallets, accounts, employees, customers, vendors, devices, transactions, and other relevant entities.

  • Support investigations involving suspected unauthorized access, information misuse or exfiltration, credential compromise, control circumvention, unauthorized disclosure, or abuse of privileged access.

  • Identify anomalous behavior or access patterns that may warrant additional investigation.

  • Develop repeatable analytical methodologies capable of processing and correlating information from disparate systems.

  • Use appropriate scripting, database querying, data visualization, and analytical technologies to efficiently analyze large or complex datasets.

Investigative Reporting & Evidence

  • Prepare clear, concise, and well-supported blockchain investigation reports, investigative memoranda, executive summaries, transaction-flow diagrams, link charts, timelines, and other analytical products.

  • Explain complex blockchain concepts and transaction activity in plain language suitable for investigators, senior management, Legal, regulators, orlaw enforcement, as appropriate.

  • Clearly distinguish among allegations, investigative leads, known facts, third-partyattribution, analytical judgments, assumptions, information gaps, and substantiated conclusions.

  • Ensure analytical conclusions are proportionate to the evidence and do not imply greater certainty than the underlying blockchain or other data supports.

  • Maintain sufficient documentation to allow significant blockchain findings to be reviewed, reproduced, and understood by another qualified analyst.

  • Preserve and handle investigative records in accordance with applicable evidence-preservation, chain-of-custody, confidentiality, privacy, access-control, and need-to-know requirements.

  • Support appropriately authorized law-enforcement, regulatory, litigation, or legal matters in coordination with the appropriate company functions.

Protective Intelligence & Physical Security Support

  • Provide analytical support to PST on selected matters involving threats or concerning activity directed toward employees, executives, offices, events, or other company interests.

  • Conduct authorized open-source, link, timeline, blockchain, financial, or other analytical research where relevant to understanding the identity, relationships, capabilities, or activity associated with a potential threat.

  • Assist in evaluating available information relating to credibility, corroboration, intent, capability, access or opportunity, targeting, escalation, timing, and other relevant indicators.

  • Prepare objective analytical products identifying known facts, analytical judgments, material information gaps, uncertainties, and appropriate confidence levels.

  • Support PST’s assessment while preserving PST’s responsibility for protective-security decisions and operational response.

Leadership & Development

  • Directly manage and develop one Junior Analyst, including work allocation, coaching, technical development, quality assurance, and review of analytical work product.

  • Serve as a FIT subject-matter resource for blockchain investigations and on-chain analytical methodology.

  • Review blockchain analysis for technical accuracy, appropriate methodology, corroboration, reasonable attribution, and evidentiary support.

  • Train and mentor junior personnel in transaction tracing, blockchain intelligence platforms, analytical reasoning, documentation, and investigative methodology.

  • Help establish consistent standards for blockchain investigations,attribution, documentation, quality assurance, and reporting.

  • Participate in time-sensitive investigations affecting a global organization, including occasional work outside normal business hours when required.

What We Look For In You

  • 7+ years of relevant investigative or analytical experience, with meaningful professional experience specifically conducting cryptocurrency or blockchain investigations.

  • Demonstrated hands-on expertise independently conducting complex blockchain tracing investigations, rather than solely reviewing blockchain alerts or commercial risk scores.

  • Advanced proficiency with one or more blockchain intelligence platforms such as ChainalysisReactor, TRM Labs, Elliptic, or comparable technology.

  • Strong understanding of how blockchain intelligence platforms derive attribution, clustering, exposure, and risk information-and the limitations associated with those methodologies.

  • Demonstrated understanding of blockchain fundamentals, including wallets and addresses, transactions, UTXO and account-based models, tokens, smart contracts, block explorers, transaction fees, confirmations, and blockchain-specific transactional structures.

  • Strong understanding of digital-asset ecosystems including centralized exchanges, self-hosted wallets,DeFi, DEXs, stablecoins, cross-chain bridges, mixers, privacy-enhancing mechanisms, and other relevant technologies.

  • Demonstrated ability to trace assets across multiple chains, protocols, and intermediaries and recognize when technical limitations prevent definitive continuity or attribution.

  • Experience conducting transaction-graph analysis, walletattribution, clustering, counterparty analysis, transaction-flow reconstruction, and investigative link analysis.

  • Ability to critically assess blockchain attribution and distinguish among technical facts, commercial vendor intelligence, analytical inference, and unsupported assumptions.

  • Experience integrating blockchain intelligence with off-chain evidence and enterprise information to develop investigative conclusions.

  • Strong knowledge of fraud-investigation principles including corroboration, source evaluation, evidence preservation, timeline development, hypothesis testing, and documentation.

  • Experience analyzing large or complex datasets and familiarity with tools such as SQL, advanced Excel, Python, Splunk, or comparable data-analysis technologies.

  • Ability to clearly explain technically complex blockchain findings to audiences that may have little or no blockchain expertise.

  • Strong investigative writing skills and demonstrated ability to produce accurate, concise, and defensible analytical products.

  • Sound judgment and ability to work effectively where evidence is incomplete, conflicting, or evolving.

  • Demonstrated discretion when handling sensitive employee, customer, investigative, security, or company information.

  • Demonstrated experience mentoring, supervising, or reviewing the work of junior analysts or investigators.

Nice to Haves

  • Experience conducting blockchain investigations within a cryptocurrency exchange, blockchain analytics company, law-enforcement agency, regulatory organization, financial institution, intelligence function, or investigative consulting environment.

  • Experience investigating digital-asset matters involving fraudproceeds, theft, account compromise, insider activity, social engineering, asset tracing, or complex cross-chain movement.

  • Experience supporting asset recovery, law-enforcement referrals, subpoenas/legal process, civil litigation, regulatory inquiries, or other matters requiring defensible blockchain analysis.

  • Experience investigating insider threats, employee misconduct, unauthorized access, data exfiltration, credential compromise, vendor fraud, conflicts of interest, or trusted-party abuse.

  • Experience with OSINT, digital forensics, enterprise logs, security telemetry, or identity and access-management information.

  • Experience creating custom blockchain analytics through APIs,SQL, Python, blockchain explorers, node data, or other raw-data sources, rather than relying exclusively on commercial graphical interfaces.

  • Relevant blockchain-specific training or certifications, including certifications associated with Chainalysis, TRM Labs, or comparable blockchain-analysis platforms.

  • Professional certifications such as CFE, CFCS, CAMS, GIAC, or comparable investigative,fraud, financial-crime, cybersecurity, or intelligence credentials.

What Success Looks Like

Success in this role requires significantly more than knowing how to enter an address into a blockchain analytics platform.

The successful candidate should be able to receive a complex transaction, wallet, allegation, or investigative question and independently determine how to trace the activity, which chains and protocols are involved, what the available data establishes, what additional information is needed, whatattributioncan reasonably be made, and where the technical or evidentiary limitations prevent a definitive conclusion.

The individual should be able to move seamlessly between on-chain and off-chain evidence, recognizing that a blockchain transaction may establish movement of assets without necessarily establishing the identity, knowledge, intent, or conduct of the person behind a wallet.

They should also be capable of converting a highly technical blockchain investigation into a concise and defensible explanation that an investigator, attorney, executive, regulator, or law-enforcement partner can understand and act upon.

At the same time, this person must be sufficiently versatile to apply the same investigative discipline to internalfraud, insider risk, enterprise data, third-party misconduct, and protective-intelligence matters when required.

The hierarchy is much clearer this way: blockchain investigations are the specialized core competency;fraud/investigative intelligence is the broader mission; enterprise analytics and PST support are complementary capabilities. That should materially improve the candidate pool versus a title that makes blockchain expertise appear interchangeable with general data analytics.

OKX Statement:

OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

  • The salary range for this position is $143,000 - $214,000

  • The salary offered depends on a variety of factors, including job-related knowledge, skills, experience, and market location. In addition to the salary, a performance bonus and long-term incentives may be provided as part of the compensation package, as well as a full range of medical, financial, and/or other benefits, dependent on the position offered. Applicants should apply via OKX internal or external careers site.

Notice:

All official OKXvacancies are published on this website.While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website.

Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX's Candidate Privacy Notice.

Free account
Stop reading job ads. Get the ones that fit.
One free account turns this page into a shortlist built around your stack, your level and your pay.
Match on every job. Stack, seniority, pay and location, scored against your profile.
1,979,292 open roles. Read straight off company career pages, refreshed every day.
Unlimited applications. Every one you send is tracked in one place, on-site or on a company board.
3 tailored CVs a month. Rewritten for the exact job you are applying to. Included free.
Create a free account Continue with Google
Free forever. No card. Under a minute.

Your match

How well do you fit this role?
Two answers are enough for a real match. No account needed.
Check my fit
Answers stay in this browser until you create an account.

Recommended for you based on this role

Finance
Similar stack
Same company
New York
$56k – $101k per year • In office • Full-Time • 3+ years exp • Bachelor's Degree • Jacksonville
Analytics
Tableau
Microsoft Excel
Management
Oracle ERP
Apply
$65k – $104k per year • In office • Full-Time • 5+ years exp • Bachelor's Degree • United States
Analytics
Microsoft Excel
Apply
$71k – $113k per year • In office • Full-Time • 7+ years exp • Bachelor's Degree • United States
Apply
≈ $91k – $174k per year (Estimated) • In office • Full-Time • 6+ years exp • Bachelor's Degree • Seattle
Analytics
Power BI
Apply
≈ $78k – $150k per year (Estimated) • In office • Full-Time • 5+ years exp • Bachelor's Degree • Indianapolis • Chicago • Cincinnati
Apply
$160k – $180k per year • Hybrid • 10+ years exp • Naperville
Python
Java
TypeScript
SQL
Clojure
Databases
MySQL
PostgreSQL
Snowflake
DynamoDB
Apache Kafka
DevOps
Rest API
Terraform
CI/CD
Jenkins
Git
AWS
Bitbucket
AWS Lambda
GitHub
Amazon S3
Amazon ECS
Amazon CloudWatch
Cybersecurity
PCI DSS
GDPR
Analytics
Tableau
ETL/ELT
Dimensional Modeling
Management
Confluence
Jira
QA
Selenium
JMeter
Postman
Apply
≈ $25k – $52k per year (Estimated) • In office • Moscow
Python
SQL
Apply
≈ $74k – $147k per year (Estimated) • In office • Full-Time • 3+ years exp • Bachelor's Degree • Singapore
Python
SQL
C#
Analytics
Power BI
Alteryx
Management
Power Automate
Power Apps
Apply
IT Manager 4 days ago
≈ $69k – $167k per year (Estimated) • In office • 5+ years exp • Bachelor's Degree • Phoenix
SQL
DevOps
VMWare
Azure
Management
SharePoint
Apply
$90k – $110k per year • Hybrid • 3+ years exp • Bachelor's Degree • Naperville
Python
PowerShell
DevOps
Terraform
Ansible
GitHub Actions
CloudFormation
Datadog
PagerDuty
Prometheus
GitLab CI
CI/CD
Jenkins
AWS
Docker
Kubernetes
Grafana
Amazon EKS
AWS Lambda
Amazon EC2
Incident Management
Amazon S3
IAM
Amazon ECS
Amazon CloudWatch
API Gateway
Cybersecurity
PCI DSS
SOC 2
Management
ITIL
Apply
$301k – $361k per year • In office • Master's Degree • San Jose
Apply
Senior Accountant 24 days ago
$76k – $94k per year • In office • 4+ years exp • Bachelor's Degree • San Jose
Apply
$172k – $215k per year • In office • 8+ years exp • Bachelor's Degree • San Jose
SQL
Web3
Staking
Analytics
Looker
Apply
Accounting Manager 1 month ago
$107k – $145k per year • Hybrid • 5+ years exp • San Jose
Apply
≈ $30k – $88k per year (Estimated) • In office • 3+ years exp • Bachelor's Degree • São Paulo
Analytics
Microsoft Excel
Apply
$74k – $129k per year • Equity • In office • Full-Time • 2+ years exp • Bachelor's Degree • New York
Apply
FP&A Lead - US 11 hours ago
$180k – $220k per year • Hybrid • Full-Time • 8+ years exp • New York
Apply
$180k – $270k per year • In office • New York
Apply
$200k – $320k per year • In office • New York
AI/ML
Machine Learning
Apply
$240k – $400k per year • In office • New York
Apply
See all jobs
This is one of many
1,979,292 more open roles from verified company boards, updated every day.