Product Analyst/QA Engineer Intern

Company

MarketCrunch AI leverages advanced AI algorithms to analyze price action data, macroeconomic and microeconomic factors, technical indicators, and more to deliver actionable investment insights. Our platform simplifies complex data, providing everyday investors with transparent and explainable tools to enhance their research. With a focus on clarity, we help users separate valuable signals from market noise for smarter decision-making. You'll be working with ex-Amazon, Meta, Apple, and Pinterest team (from Wharton, Carnegie Mellon, Purdue).

Role

We're hiring a grad-level analyst who combines sharp testing skills with solid markets knowledge (stocks, ETFs, options). You'll own functional and end-to-end testing across our user flows and APIs, validate financial calculations (e.g., options chains, splits/dividends, ETF expense ratios), and keep regressions at bay as we ship weekly (often more frequently).

What you'll do

• Design, maintain, and execute
  test plans, test cases, and regression suites
  (manual + automated).
• Test critical
  user flows
  : sign-up/onboarding, ticker analysis (e.g., /analyze?t=AMZN), AI picks, watchlists, backtesting, payments, and settings.
• Validate
  market/quant logic
  : options chains (calls/puts, expiries, strikes, bid/ask, IV, Greeks), ETF expense-ratio impacts, corporate actions (splits/dividends), trading calendars/holidays.
• Build
  automation
  for web E2E (Cypress or Playwright) and
  API tests
  (Postman/REST).
• Run
  data/DB checks
  with SQL; use Python for lightweight result diffs and sanity checks.
• Own
  bug triage
  with Product/Eng; write crisp repro steps, severity, and acceptance criteria.
• Perform
  cross-browser/mobile
  checks and basic performance checks (Lighthouse).
• Verify
  analytics/SEO
  instrumentation (events, tags, titles, robots, structured data) where relevant.
• Contribute to
  release sign-off
  and UAT; improve test coverage metrics over time.

Must-have qualifications

• 3+ years
  analyst, QA or similar experience for web/SaaS (manual + automation).
• 1+ years of working on a trading/fintech product or demonstrable markets expertise (options + ETFs).
• Deep knowledge of
  equities, ETFs, and options
  (calls/puts, expiries, Greeks, IV, OCC contract specs).
• Hands-on with
  Cypress or Playwright
  ,
  Postman
  ,
  Git/GitHub
  , and
  SQL
  .
• Comfort reading JSON payloads, tracing logs, and isolating backend vs. frontend defects.
• Clear written communication and a bias for crisp, reproducible bug reports.

Nice-to-haves

• Python (pandas) for data validation; familiarity with
  Flask APIs
  and
  React
  apps.
• Brokerage/market data APIs (e.g., Alpaca, Polygon, IBKR) experience.
• Analytics QA (GA4/Mixpanel), SEO checks, and accessibility basics.
• Experience testing
  AI/ML
  products and model-output sanity checks.
• CI/CD (GitHub Actions), Docker, GCP or AWS basics.

Certifications (not strictly required, but preferred):

• ISTQB CTFL
  (Foundation Level) or
  ASTQB
  equivalent — preferred.
• Options education
  (e.g., Options Industry Council/OIC courses 101/201) — preferred
• CFA Investment Foundations
  or
  CMT Level I
  — nice-to-have for broader markets rigor.
• Cloud Practitioner
  (AWS or GCP) — nice-to-have for environment fluency.

Location & Type

• Remote (U.S. time-zones with some PST overlap).

Compensation

• Initial 12-month internship (
  unpaid
  ). Based on performance, we may offer part-time/full-time role