Job Title: Senior Data Analyst (Contract)

Company Name: K2 Integrity

Job Details: RemoteContract,,Temporary

Job Url: https://hiring.cafe/viewjob/jg5k51o37t333nkb

Job Description: Posted 2d agoSenior Data Analyst (Contract)@ K2 IntegrityView All JobsWebsiteUnited StatesRemoteContract, TemporaryResponsibilities:Analyze data, Develop models, Mentor analystsRequirements Summary:Advanced degree; 7+ years SQL; AML/financial crimes; Python; ETL; Power BI; cloud Azure; Alteryx; Actimize/Others; strong communication; mentoring.Technical Tools Mentioned:SQL, Python, SSIS, Azure Data Factory, Databricks, Alteryx, Power BI, Tableau, Azure, Actimize, Oracle FCCM, NICE
Job descriptionWe are looking for a seasoned Senior Data Analyst to join our Financial Crimes / Anti-Money Laundering (AML) practice. This is a high-impact role at the intersection of data science and financial crime compliance, where your analytical work will directly support investigations, strengthen detection capabilities, and help protect clients from financial risk. You'll collaborate closely with investigations teams, translating complex data into clear, actionable intelligence.Job requirementsAdvanced degree in a related field (e.g., Data Science, Statistics, Finance)7+ years of hands-on, production-level SQL coding — complex queries, stored procedures, and  performance-tuned scripts against large financial datasetsExperience in financial crimes, AML, or a closely related fieldHands-on Python coding for data wrangling, automation, statistical analysis, and financial crime detection  logicRobust ETL capabilities, ideally with SSIS, Azure Data Factory (ADF), Databricks or AlteryxStrong Power BI skills for interactive dashboards, data models, and executive-level reporting; Tableau experience is a plusFamiliarity with cloud platforms (preferably Azure) and working with AML data infrastructure in cloud environmentsStrong understanding of AML typologies such as structuring, layering, and trade-based money launderingExcellent communication skills, able to present complex findings clearly to non-technical stakeholders and team membersAbility to self-manage multiple workstreams independently in a fast-paced, client-facing environmentStrong mentorship instincts with a track record of elevating junior team membersPrior experience at a major financial institution or financial crimes consulting firmExperience with Alteryx for data blending, workflow automation, and advanced analyticsFamiliarity with major AML platforms such as Actimize, Oracle FCCM, or NICEJob responsibilitiesAnalyze transactions, accounts, customer profiles, alerts, and third-party data to identify suspicious patterns, anomalies, and emerging risksWrite and optimize complex SQL queries and Python scripts to extract, manipulate, and analyze large financial datasets hands-onDesign and implement financial crime detection models, scenarios, and rule sets tailored to AML typologiesConduct root cause analyses on financial crime incidents to improve detection accuracy and prevention strategiesBuild and maintain ETL pipelines to ingest, clean, and validate data from multiple sourcesDevelop clear, compelling dashboards and reports in Power BI to support investigator decision-making and stakeholder reportingApply AI/ML techniques including supervised and unsupervised models, anomaly detection, and NLP — to enhance detection efficiency and surface emerging risksLeverage graph analytics to map and analyze relationships between entities, accounts, and transactionsTranslate forensic data analyses into findings and recommendations that enable effective, timely investigationsMentor junior analysts and contribute to building overall team capability