Monzy (monzy.co) a financial product discovery platform. We ask you a few questions and tell you the one best financial product built for you.
Right now we cover credit cards. Over the next 12 months we're planning some exciting things for which the content and SEO machine needs to scale with the product.
How We Work
100% remote
100% async (no working hours)
Everyone responsible for their tasks - no micromanagement
Everyone paid average of the industry as per compensation benchmarking
Small team - massive ownership with accountability
The Role
Our recommendation engine runs on live financial data, credit card benefit structures, devaluation announcements and other live financial feeds.
When that data is stale, wrong, or miscategorised, our recommendations break.
Users make bad financial decisions.
That's not acceptable.
Your job is to make sure it never happens.
Not by being told to check.
By knowing what to check, when, and what a discrepancy looks like before anyone else in the team notices it.
This role is for someone who looks at a data feed, finds the thing that's wrong before anyone told them to look, and brings the fix to the table already half-built.
If that sentence makes you uncomfortable, this isn't the right role. If it makes you lean forward, keep reading.
The people who thrive in this role are the ones who find a discrepancy in a data feed and feel a small surge of satisfaction, not annoyance. If that's you, we want to talk.
What Might Your Day Look Like?
9:00 - 10:30 · The Ingestion Pass
Run through the dynamic data feeds.
Examples include: AMFI daily NAVs. Bank interest tables. Credit card devaluation announcements from community sources.
You don’t scroll through information.
You read it against the internal database schema in your head and flagging anything that doesn't map correctly.
If SBI quietly updated a cashback cap or an AMC dropped its expense ratio overnight, you catch it here, before the content team publishes, before the recommendation engine surfaces it to a user.
10:30 – 12:30 · Vertical Sprint
Your vertical focus rotates by day of the week.
Example, On a credit card day, you're deep inside the card database checking field integrity, category logic, and devaluation impact.
On a mutual fund day, you're validating the AMFI ingestion script output against source data and stress-testing edge cases in the qualifying logic.
On an active-vertical day, Insurance, Banks, or Loans depending on where the product is, you're feeding the data pipeline.
13:30 – 15:00 · Intel + Content Handoff
Take what you found in the morning and turn it into brief, usable notes for the content team.
If SBI's April 2026 devaluation changed the cashback cap structure, the content team needs to know which pages are now showing wrong numbers.
You tell them.
You also spend part of this slot monitoring the edges of the internet or using the internal tools, looking for signals that haven't surfaced in mainstream coverage yet.
A loophole someone discovered.
A devaluation that the bank hasn't formally announced but community members have already noticed.
User pain points that reveal a gap in our data model.
The Ideal Profile
Signals that make us move fast on a candidate:
Has worked inside an AMC, fintech, broking house, wealth research firm, or insurance company, even for a short stint.
Tracks personal finance communities (r/indiainvestments, TechnoFino, FinTwit) as a habit, not as a job requirement.
Has built a personal tracker for something financial, mutual fund portfolio, credit card reward optimization, FD rate comparison, in a spreadsheet
Comfortable with ambiguity and comfortable naming it: "I don't have enough data to confirm this yet, but here's what I'm seeing"
Has caught an error in published financial data somewhere and it bothered them enough to note it.
Nice to have:
Familiarity with any data ingestion workflow, even a basic Python script or a Zapier automation
Commerce, finance, or economics background.
Experience working remotely and async, we document everything
What This Role Is Not:
This is not a research analyst role that produces reports. You produce data accuracy and brief notes, not decks.
This is not a financial advisor role. You are not giving advice to users, you are ensuring our data is accurate enough that our recommendation logic can.
This is not a passive monitoring role. If you need to be reminded to check the AMFI feed, this won't work.
This is not a usual 8-hour job. The expectation is intensity during those hours, not presence for the sake of it.
How to apply?
The form below is the first stage. It is an extremely detailed form, which is by design. We are only looking at serious applicants.
Section 1: 20 questions to get to know you (~30 mins)
Section 2: Understanding your fitment for the role (~30 mins)
Section 3: Your details (5 mins)
The form will take about 1 hour to finish.
Please plan accordingly.
Last date to apply: 25th June 2026, Thursday
If you are selected, you will hear from you by 05th July 2026.
Since we are a small team, it will not be possible for us to inform you in the event you do not get selected. Sorry in advance!
Excited to go through your application in detail :)