Website:
paisasmart.com
Job details:
Primary Skillset: Mutual Fund Research, Analytical Thinking
Years of Work Ex: 0 – 1 Yr
Minimum Qualifications: Bachelors in Finance, Economics, Commerce, Engineering + CFA Lvl 1 minimum
Location: Nariman Point, Mumbai
Timings: 10am – 7pm; Monday to Friday
Work Type: On-Site, 5 days a week
Company Description:
PaisaSmart is the operating brand name for Elixir Equities Pvt. Ltd. (EEPL), a financial services firm with operations in Prop Trading, Stock Broking, Portfolio Management & Mutual Fund distribution, and over 20 years in wealth management under founders who are recognised industry leaders.
Our mission is to build wealth for the next 100m Indians. PaisaSmart is how — a WhatsApp chatbot and an Android/iOS app that make investing simple for people who have never invested.
We ship fast. We work under broker, RA, PMS and MFD licences, so we ship fast without being careless with other people’s money — doing both is the actual job.
Our values are humility, curiosity and passion. Socials: YT · Insta · LinkedIn. Try the product: message 8808990978 on WhatsApp.
Application Process:
- Apply on our site. Screening happens immediately by our recruitment AI agent, no waiting immediate pass/fail.
- One day of in-person interviews at our offices (you select a convenient date & time) with the founder and team.
- If we like you we make a decision immediately and share an offer. No long process, no multi stage screening.
What You’ll Own:
- Proving Our Ratings Wrong: We rate and rank funds algorithmically. Your job is to check that work by hand — dig into what the model likes, find where it's mistaken, and make the case. When you're right, the algorithm changes.
- Ongoing Fund Research: Working directly with the founder on fund and category research that shapes what we put in front of first-time investors.
- Tracking Our Top Picks: Monitoring the funds we recommend — performance, style drift, manager changes, anything that should change our view before our users find out the hard way.
- Thought Leadership: Research notes and long-form pieces that show people how we think, not just what we recommend.
How We Work:
- Small team, highly collaborative but individual responsibilities. Growth isn’t gated on tenure. If you can do the next job, you get it.
- You work directly with the founder. No layer in between, nobody to hide behind. No office politics, no blame games, direct visibility.
- High responsibility, high level of freedom, minimal guidance. Find a problem, design a solution, fix it. You own your work end to end, including when something goes wrong at 9pm.
- If you’re right you’re right. No hierarchy, no “do it cause the boss said so”. Best argument wins, regardless of who made it.
- Everyone is expected to do 2-3 different tasks. With AI tooling enabling us to learn and do more than ever before come in with one core skillset and learn & apply 1-2 completely new skills with us.
Who This Is For:
- You teach yourself things nobody assigned you.
- The problem is clear, the solution isn’t, and that excites you.
- You want real responsibility and opportunity to make an impact immediately.
Who It Isn’t For:
- You want a defined ladder and a manager who assigns your work.
- You want remote or hybrid. This is on-site, five days, and we’re not flexible.
- You’d rather specialise narrowly than learn new things.
Requirements:
- A working understanding of mutual fund mechanics: NAV, expense ratio, exit load, AUM, benchmark selection, category classification, and the distinction between direct and regular plans. You should be able to read a scheme factsheet in full without reference material.
- The ability to evaluate a fund on more than headline returns — portfolio holdings and concentration, sector and market-capitalisation allocation, portfolio turnover, and performance through a drawdown.
- Familiarity with standard risk and performance measures: alpha, beta, standard deviation, Sharpe ratio, tracking error, and the difference between rolling and point-to-point returns, including when each is appropriate.
- Advanced Excel, including pivot tables and lookup functions, sufficient to construct and maintain a comparative analysis across a large fund universe. Working knowledge of Python or SQL is an advantage but not a requirement.
- Competence in sourcing data from primary sources — AMFI disclosures, scheme information documents, monthly portfolio statements and AMC factsheets — rather than third-party aggregators.
- Preferred: NISM Series V-A or XV certification, CFA Level 1 or above, or prior research experience, including academic and personal work.
Compensation:
- Salary is competitive and varies substantially based on the skillset of an individual candidate.
- Possibility of conversion to PPO Offer
Click on Apply to know more.
