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Nium

Real-time cross-border payments and FX platform

Senior Compliance Data Scientist

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeBengaluru, Karnataka, IndiaNo salary listed

About the Job

Requirements

  • A degree in Statistics, Mathematics, Data Science, Economics, or a related quantitative field.
  • Four to six years of experience in data science, advanced analytics, or machine-learning roles.
  • Proficiency in various model development techniques.
  • Exposure to financial-crime systems such as transaction monitoring, sanctions screening, or case-management platforms.
  • Experience supporting compliance operations, investigations, or model governance.
  • Experience building and deploying machine-learning models in production environments.
  • Ability to communicate technical concepts to non-technical partners.
  • Ability to work individually and as part of a global team.

Responsibilities

  • Develop AI/ML models to identify risks such as fraud or credit risk while ensuring they are auditable, explainable, and compliant with data privacy laws.
  • Understand the coverage and accuracy of existing rules for anti-money laundering and financial crimes.
  • Support rules management to ensure rules perform to expected thresholds.
  • Support the integrity, accuracy, and usability of data across compliance and financial-crime functions.
  • Develop data dashboards to provide visibility into the performance of rules and models.
  • Use advanced analytics to understand cause-and-effect relationships.
  • Assess data quality and labeling, perform advanced analysis to identify high-predictive-strength variables, and work with technology teams on variable availability.
  • Design, deploy, and monitor predictive models and AI algorithms to detect anomalies, fraud, or potential breaches.
  • Conduct deep-dive analyses into risk events, identify root causes, and improve risk strategies and operational workflows.
  • Analyze large datasets to identify patterns, anomalies, and emerging risks.
  • Perform data validation, cleansing, and reconciliation for regulatory reporting.
  • Build scalable reporting platforms and document data protocols to ensure alignment with regulatory requirements.
  • Partner with legal, product, and operations teams to translate technical findings into actionable business insights for senior management.
  • Maintain auditability, traceability, and evidence generation within systems.

Desired Qualifications

  • Prior experience in financial services, fintech, payments, or consulting is strongly preferred.

About the Company

Nium

Real-time cross-border payments and FX platform

Nium is a global fintech platform that enables real-time money movement for banks, fintechs, and money service businesses. It supports instant cross-border transfers, foreign exchange management, payment processing, and fraud mitigation through a proprietary API. It serves corporate purchasing, supplier payments, and travel payments with flexible funding and direct debit options. Its goal is to streamline global payments by offering a unified API-driven system with fast settlement and enterprise-grade fraud protection.

Company size
1,001-5,000
Company stage
Series E
Total funding
$314M
Headquarters
Singapore, Singapore
Founded
2016

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