Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowPosted 8 days ago

Lead Analyst - Portfolio Intelligence & Fraud Analytics

Nium25 open roles

Where
Bangalore
Work mode
Hybrid
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowLead Analyst - Portfolio Intelligence & Fraud AnalyticsNium · Bangalore

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Nium's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

13.7% of postings close within 7 days. Measured by our own scanner across the market. Nium postings stay open a median of 57 days.

Share of postings closed within
  1. 2.3%1 day
  2. 4.8%3 days
  3. 13.7%7 days
  4. 22.1%14 days
  5. 37.6%30 days
  6. 59.1%60 days
This job: posted 8 days ago

Nium median: 57 days open

The posting

About the role:

As a Portfolio Intelligence & Fraud Analytics Lead Analyst, you will play a critical role in helping Nium understand, monitor, and manage portfolio performance, fraud risk, payment abuse, and emerging customer behavior trends across its global payments ecosystem.

You will leverage data, analytics, and risk intelligence to identify opportunities, detect emerging risks, support fraud prevention initiatives, and provide actionable insights to business stakeholders. Working closely with Fraud, Risk, Compliance, Product, Operations, and Data teams, you will transform complex data into meaningful intelligence that supports business growth, effective risk management, and operational decision-making.

This role is ideal for a highly analytical professional who combines strong SQL and data analysis capabilities with an understanding of payments, fraud risk, portfolio monitoring, and customer behavior.

Key Responsibilities:

  • Analyze customer, product, corridor, and market performance to identify emerging trends, risks, and growth opportunities.
  • Develop and maintain portfolio monitoring dashboards and reporting frameworks and perform deep-dive analysis on customer segments, transaction behavior, payment flows, and portfolio concentration risks.
  • Monitor key portfolio KPIs and KRIs, identifying significant changes and potential risk indicators.
  • Conduct ad hoc analytical reviews to support business initiatives and strategic decision-making.
  • Monitor fraud, chargeback, dispute, and payment abuse trends across products and geographies.
  • Investigate fraud events to identify root causes, attack patterns, and control gaps.
  • Support development and optimization of fraud rules, thresholds, and monitoring strategies.
  • Assess fraud-control effectiveness and provide recommendations for improvement.
  • Analyse customer friction metrics to balance fraud prevention objectives with customer experience.
  • Support remediation activities for emerging fraud risks and elevated loss trends.
  • Build and maintain dashboards using Looker, Power BI, Tableau, or similar analytics platforms.
  • Develop and optimize SQL queries for fraud, portfolio, compliance, and operational reporting.
  • Create recurring and ad hoc reports for Risk, Compliance, Product, and senior stakeholders.
  • Develop data visualizations that communicate actionable insights effectively.
  • Partner with Data Engineering teams to improve data quality, accessibility, and reporting capabilities.
  • Monitor portfolio performance against internal risk thresholds and payment network requirements.
  • Track fraud-to-sales ratios, chargeback ratios, dispute rates, approval rates, and transaction-risk indicators.
  • Analyze emerging payment-risk trends and provide early warning indicators to stakeholders.
  • Provide analytical support for fraud prevention, risk management, and portfolio optimization projects.

Requirements:

  • 4-7 years of experience in Fraud Analytics, Portfolio Analytics, Payments Risk, Financial Crime Analytics, Business Intelligence, or Data Analytics.
  • Strong analytical and problem-solving skills.
  • Experience working with large datasets and identifying actionable insights.
  • Advanced SQL skills and experience performing complex data analysis.
  • Proficiency in Python for data analysis and automation.
  • Experience building dashboards and visualizations using Looker, Power BI, Tableau, or similar tools.
  • Understanding of payment ecosystems, fraud typologies, chargebacks, and transaction-risk indicators.
  • Strong communication and stakeholder-management skills.
  • Ability to present analytical findings to both technical and non-technical audiences.
  • Preferred Qualifications
  • Experience within fintech, payments, banking, card issuing, or acquiring environments.
  • Knowledge of Visa and Mastercard fraud monitoring programs.
  • Familiarity with AML, transaction monitoring, or financial crime controls.
  • Experience with machine learning models or predictive analytics.
  • Exposure to cloud data platforms such as Snowflake, Redshift, Databricks, or BigQuery.
From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against Nium's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on Nium's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    Nium's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.