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Is this Senior Data Scientist job remote or onsite?

This is based in Bengaluru, Karnataka.

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The listed salary is ₹25–35 LPA. LPA means lakh per annum: ₹25 lakh to ₹35 lakh a year, before tax.

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Senior Data Scientist

Nium

Bengaluru, Karnataka, India

Company: NIUM India

Website: Visit Website

LinkedIn: Visit LinkedIn

Business Type: Startup

Company Type: Product

Business Model: B2B

Funding Stage: Series D+

Industry: FinTech, payments

Salary Range: ₹ 25-35 Lacs PA

Job Description

The growing volume, complexity, and regulatory scrutiny of financial crime and compliance risks demand advanced, data-driven capabilities that can no longer be effectively supported through traditional analytics or manual processes. The Senior Data Scientist will play a key role in strengthening Nium’s ability to identify emerging risks, optimise controls, meet regulatory expectations, and improve operational efficiency across the compliance function.

This role addresses a critical capability gap and directly supports strategic priorities such as automation, risk-based decision-making, model optimisation, data quality enhancement, and regulatory assurance. It is also specifically intended to enable the transition of compliance systems toward advanced AI and machine learning solutions, including next-generation transaction monitoring detection models.

Role Summary

Develop 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
Understand the coverage and accuracy of the existing rules for anti-money laundering and financial crimes
Support rules management process to ensure rules are performing to expected thresholds
Support the integrity, accuracy, and usability of data across compliance and financial crime functions.
Develop data dashboards to provide visibility of performance of rules and models
Leverage advanced analytics to understand cause and effect relationships
Understand data quality and labelling, perform advanced analysis to identify variables with strong predictive value, and work with technology teams on availability of variables.

Key Responsibilities

Design, deploy, and monitor predictive models and AI algorithms to detect anomalies, fraud, or potential breaches
Conduct deep-dive analyses into risk events, identifying root causes to 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.
Ensure alignment with regulatory requirements by building scalable reporting platforms and documenting data protocols
Partner with legal, product, and operations teams to translate complex technical findings into actionable business insights for senior management
Maintain auditability, traceability, and evidence generation within systems.

Requirements

Proficiency in Python and SQL for data analysis, data preparation and model development.
Hands-on experience with AWS, Amazon Redshift and Apache Airflow to support data preparation, querying and workflow orchestration for compliance analytics and modelling.
Degree in Statistics, Mathematics, Data Science, Economics, or related quantitative field
4-6 years in data science, advanced analytics, or machine‑learning roles.
Proficiency in various model development techniques
Prior experience in financial services, fintech, payments, or consulting would be strongly preferred
Exposure to financial‑crime systems (e.g., transaction monitoring, sanctions screening, case‑management platforms).
Experience supporting compliance operations, investigations, or model governance.
Experience building and deploying ML models in production environments.
Strong analytical rigor, proactive problem-solving, and capability to communicate technical concepts to non-technical partners
Self-motivated, adept in working individually and as part of a global team

About Nium

Nium provides infrastructure for real-time cross-border payments, helping banks, fintech companies and businesses collect, convert and disburse funds globally. Its payout network covers more than 190 countries and supports 100 currencies, with real-time payouts available in 100 countries. Businesses can send funds to accounts, wallets and cards, and collect funds locally in 40 markets.

Nium also offers card issuance in 34 countries and holds regulatory licences and authorisations in more than 40 countries. Co-headquartered in San Francisco and Singapore, Nium aims to make global payments faster and more accessible through its payments infrastructure.

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