Salary not disclosed
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Role overview
Job description
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Design, deploy, and monitor predictive models and AI algorithms to detect anomalies, fraud, or potential breaches
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Conduct deep-dive analyses into risk events, identifying root causes to improve risk strategies and operational workflows
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Analyze large datasets to identify patterns, anomalies, and emerging risks.
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Performs data validation, cleansing, and reconciliation for regulatory reporting.
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Ensure alignment with regulatory requirements by building scalable reporting platforms and documenting data protocols
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Partner with legal, product, and operations teams to translate complex technical findings into actionable business insights for senior management
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Maintains auditability, traceability, and evidence generation within systems.
Requirements
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Degree in Statistics, Mathematics, Data Science, Economics, or related quantitative field
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4-6 years in data science, advanced analytics, or machine‑learning roles.
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Proficiency in various model development techniques
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Prior experience in financial services, fintech, payments, or consulting would be strongly preferred
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Exposure to financial‑crime systems (e.g., transaction monitoring, sanctions screening, case‑management platforms).
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Experience supporting compliance operations, investigations, or model governance.
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Experience building and deploying ML models in production environments.
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Strong analytical rigor, proactive problem-solving, and capability to communicate technical concepts to non-technical partners
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Self-motivated, adept in working individually and as part of a global team
What we offer at Nium We Value Performance: Through competitive salaries, performance bonuses, sales commissions, equity for specific roles and recognition programs, we ensure that all our employees are well rewarded and incentivized for their hard work. We Care for Our Employees: The wellness of Nium’ers is our #1 priority. We offer medical coverage along with 24/7 employee assistance program, generous vacation programs including our year-end shut down. We also provide a flexible working hybrid working environment (3 days per week in the office). We Upskill Ourselves: We are curious, and always want to learn more with a focus on upskilling ourselves. We provide role-specific training, internal workshops, and a learning stipend. We Celebrate Together: We recognize that work is also about creating great relationships with each other. We celebrate together with company-wide social events, team bonding activities, happy hours, team offsites, and much more! We Thrive with Diversity: Nium is truly a global company, with more than 33 nationalities, based in 18+ countries and more than 10 office locations. As an equal opportunity employer, we are committed to providing a safe and welcoming environment for everyone. Beware of recruitment scams: Be cautious of individuals impersonating Nium via WhatsApp, social media, email or unofficial websites. Do not respond, share personal or financial information, or make any payments. Nium will never ask candidates to transfer money or cryptocurrency as part of our recruitment process.
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About this listing
- Source: Nium's official careers site · still listed there on 12 Nov 2026
- Posted 6 Aug 2026
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Role market pulse
How Data Scientist demand looks in India
Live jobs
100
Posted 30d
78
30d movement
+387.5%
Remote share
2%
Salary listed
11%
Salary trend 1Y
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What they are looking for
Skills & requirements
Qualification
Degree in Statistics, Mathematics, Data Science, Economics, or related quantitative field
Department · Risk & Governance
Hiring company
Nium
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