Nium

Global Payments

DataAnalystRisk&Compliance

Bangalore, Karnataka, India FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid candidates.

The Brief

“Data Analyst – Risk & Compliance at Nium. Skills: SQL, Data analysis, Risk, Compliance. Analyze transaction datasets using SQL. Identify fraud, AML, compliance risk patterns”

What You'll Achieve.

Identify fraud, AML, and compliance risk patterns; Translate analytical findings into clear business actions; Convert regulatory requirements into data logic and system rules; Evaluate effectiveness of risk controls; Design, build, and maintain dashboards and reporting; Support financial crime initiatives; Recommend data-driven improvements; Implement scalable and auditable decisioning systems; Improve risk systems with measurable impact; Reduced false positives; Improved detection rates

Industry & Context.

Global Payments
Problems you'll solve

analytical thinking; problem-solving; data-to-decision mindset; Identify gaps and inefficiencies; recommend data-driven improvements

What They're Looking For.

Must Have

3–6 years of experience in data analytics, risk, fraud, compliance, or financial services, SQL (mandatory), ability to independently extract, join, and analyze large datasets, Proven ability to connect data insights to business decisions and outcomes, analytical thinking with a problem-solving, data-to-decision mindset, Ability to work across technical and non-technical stakeholders, Experience in fraud detection, AML, or transaction monitoring systems, Exposure to rule engines, decision systems, or risk platforms, Understanding of experimentation / threshold tuning / performance optimization

Nice to Have

Experience building dashboards / visualizations (Tableau, Power BI, Looker, or similar), Familiarity with Python (Pandas, NumPy) for data analysis

What You'll Do.

Analyze transaction datasets using SQL

compliance risk patterns

Translate analytical findings into business actions

Convert regulatory requirements into data logic

Evaluate effectiveness of risk controls

Perform deep-dive analyses

Identify process gaps and inefficiencies

Recommend data-driven improvements

Implement scalable decisioning systems

How You'll Work.

Team & Collaboration

Work with Compliance, Risk, and Product teams; Partner with engineering; Ability to work across technical and non-technical stakeholders

Communication Scope

Translate analytical findings into clear business actions; Ability to work across technical and non-technical stakeholders

Full Job Description

## Description Nium, the Leader in Real-Time Global Payments    Nium, the leading global infrastructure for real-time cross-border payments, was founded on the mission to deliver the global payments infrastructure of tomorrow, today. With the onset of the global economy, its payments infrastructure is shaping how banks, fintechs, and businesses everywhere collect, convert, and disburse funds instantly across borders. Its payout network supports 100 currencies and spans 190+ countries, 100 of which in real-time. Funds can be disbursed to accounts, wallets, and cards and collected locally in 40 markets. Nium's growing card issuance business is already available in 34 countries. Nium holds regulatory licenses and authorizations in more than 40 countries, enabling seamless onboarding, rapid integration, and compliance – independent of geography. The company is co-headquartered in San Francisco and Singapore. ## Key Responsibilities Analyze large-scale transaction datasets using SQL to identify fraud, AML, and compliance risk patterns. Translate analytical findings into clear business actions (rule tuning, thresholds, workflows, policy inputs). Work with Compliance, Risk, and Product teams to convert regulatory requirements into data logic and system rules. Evaluate effectiveness of risk controls using data (alert rates, false positives, precision/recall, conversion impact). Design, build, and maintain dashboards and reporting that drive decision-making. Perform deep-dive analyses and investigations to support financial crime initiatives. Identify gaps and inefficiencies in current processes and recommend data-driven improvements. Partner with engineering to implement scalable and auditable decisioning systems. ## Requirements 3–6 years of experience in data analytics, risk, fraud, compliance, or financial services. Strong proficiency in SQL (mandatory) ability to independently extract, join, and analyze large datasets. Proven ability to connect data insights to business

Free ATS check

Applying for this Data Analyst – Risk & Compliance role?

Most applicants get filtered before a human reads their resume. See if yours makes the cut.

How to Apply on Lever

  • Lever uses a streamlined one-page form — apply in under 5 minutes.
  • LinkedIn import works well; review parsed data before submitting.
  • The cover letter field is optional but visible to reviewers — use it to differentiate.
  • Referral codes from employees can significantly boost visibility of your application.

ANONYMOUS · UNFILTERED

What do employees actually say about Nium?

Real rants from real employees. Read before you apply.

Read Company Rants →