Data Analyst – Risk & Compliance at NIUM PTE LTD

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

22 Aug, 26

Salary

0.0

Posted On

24 May, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Data Analysis, Fraud Detection, AML, Compliance Risk, Tableau, Power BI, Looker, Python, Pandas, NumPy, Risk Rule Tuning, Dashboard Design, Transaction Monitoring, Financial Crime Investigation, Performance Optimization

Industry

Financial Services

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. About the role: We are looking for a Data Analyst who combines strong SQL and analytical skills with business and compliance understanding. This is a data-first, business-impact role where you will: Independently analyze transaction and risk data Generate insights translate those insights into risk rules, system logic, and operational decisions \n 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 decisions and outcomes. Experience building dashboards / visualizations (Tableau, Power BI, Looker, or similar). Strong 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. Familiarity with Python (Pandas, NumPy) for data analysis. Understanding of experimentation / threshold tuning / performance optimization. What Success Looks Like: You independently query and break down complex datasets without relying on others. You move from data → insight → action quickly and clearly. You improve risk systems with measurable impact (e.g., reduced false positives, improved detection rates). You think in terms of signals, patterns, and system behavior, not just reports. What We’re Really Looking For You don’t wait for data - you pull it yourself. You don’t just present numbers -you recommend actions. You can connect data → risk insight → rule/system change → measurable outcome. You are comfortable operating across data, business, and system logic. \n 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. For more detailed region specific benefits : https://www.nium.com/careers#careers-perks For more information visit www.nium.com Depending on your location, certain laws may regulate the way Nium manages the data of candidates. By submitting your job application, you are agreeing and acknowledging that you have read and understand our Candidate Privacy Notice located at www.nium.com/privacy/candidate-privacy-notice.

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Responsibilities

Analyze large-scale transaction datasets to identify fraud and AML patterns and translate these insights into risk rules and system logic. Design dashboards and partner with engineering to implement scalable, auditable decisioning systems for compliance.