{"id":116643,"url":"https://alion.io/job/nium-sr-data-scientist","title":"Sr Data Scientist","company":{"id":5992,"name":"Nium","domain":"nium.com","url":"https://alion.io/company/nium","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"A","score":92,"open_postings":8,"ghost_share":0,"stale_share":0.125,"repost_share":0,"time_to_fill_p50_days":85,"computed_at":"2026-10-31T05:58:55Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":23000,"max_usd":47000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":54},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false}],"status":"live","first_seen_at":"2026-08-06T04:45:39Z","employer_posted_date":"2026-08-06","last_verified_at":"2026-10-31T19:25:11Z","board_verified":true,"closed_at":null,"days_open":86,"trust":{"level":"ok","repost_count":1,"flags":[],"days_open":86},"description":"The increasing volume, complexity, and regulatory scrutiny of financial-crime and compliance risks requires advanced, data-driven capabilities that traditional analytics and manual processes can no longer support. The Compliance Data Scientist will significantly enhance Nium’s ability to detect emerging risks, optimise controls, meet regulatory expectations, and drive operational efficiency across the compliance function.\nThis role fills a critical capability gap and directly supports strategic priorities including automation, risk-based decisioning, model optimisation, data-quality improvement, and regulatory assurance. Additionally, this role is specifically designed to support activities related to transitioning compliance systems to advanced, data-driven Artificial Intelligence / Machine Learning solutions e.g. Transaction Monitoring detection models.\nRole Summary:\nResponsible for development of AI/ML models to identify risks (such as fraud or credit risk) while ensuring these models are auditable, explainable, and compliant with data privacy laws\n\nUnderstand the coverage and accuracy of the existing rules for anti-money laundering and financial crimes\n\nSupport rules management process to ensure rules are performing to expected thresholds\n\nSupport the integrity, accuracy, and usability of data across compliance and financial crime functions.\n\nDevelops data dashboards to provide visibility of performance of rules and models\n\nLeverage advanced analytics to understand cause and effect relationships\n\nUnderstand data quality and labelling, perform advanced analysis to identify high predictive strength variables, and work with technology teams on availability of variables.\n\nKey Responsibilities\nDesign, deploy, and monitor predictive models and AI algorithms to detect anomalies, fraud, or potential breaches\n\nConduct deep-dive analyses into risk events, identifying root causes to improve risk strategies and operational workflows\n\nAnalyze large datasets to identify patterns, anomalies, and emerging risks.\n\nPerforms data validation, cleansing, and reconciliation for regulatory reporting.\n\nEnsure alignment with regulatory requirements by building scalable reporting platforms and documenting data protocols\n\nPartner with legal, product, and operations teams to translate complex technical findings into actionable business insights for senior management\n\nMaintains auditability, traceability, and evidence generation within systems.\n\nRequirements\nDegree in Statistics, Mathematics, Data Science, Economics, or related quantitative field\n\n4-6 years in data science, advanced analytics, or machine-learning roles.\n\nProficiency in various model development techniques\n\nPrior experience in financial services, fintech, payments, or consulting would be strongly preferred\n\nExposure to financial-crime systems (e.g., transaction monitoring, sanctions screening, case-management platforms).\n\nExperience supporting compliance operations, investigations, or model governance.\n\nExperience building and deploying ML models in production environments.\n\nStrong analytical rigor, proactive problem-solving, and capability to communicate technical concepts to non-technical partners\n\nSelf-motivated, adept in working individually and as part of a global 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