Position Summary

Join MyFundedFutures as the next QA Engineer responsible for ensuring that every release that reaches production meets a high bar for quality, stability, and correctness. This is a hands-on role with genuine ownership. You are the gate between code-complete and thousands of users.

You will work closely with product and engineering to define acceptance criteria, have thorough manual test and debugging skills, own the staging environment, build and maintain automation coverage and drive a culture where quality is everyone's responsibility and QA is the last line of defence, not an afterthought.

Key Responsibilities

• Own the QA gate for every release - nothing reaches production without the QA sign-off.
• Radiate knowledge of the trading products and asset classes the platform supports — including equities, futures, and leveraged instruments — so that test coverage reflects real-world user behavior, risk scenarios, and edge cases that matter in live trading environments.
• Stay current with changes to supported asset classes, new product offerings, and evolving platform capabilities; proactively update test plans and regression coverage as the product horizon expands.
• Execute end-to-end regression across all release tickets, verifying against defined acceptance criteria.
• Conduct production smoke tests of every production deploy, validating critical paths are intact.
• Maintain a stable, predictable Staging environment that PM and product can rely on for UAT.
• Build, maintain, and extend the automated regression suite covering critical user journeys: account creation, trading flows, payouts, and authentication.
• Own E2E test coverage; partner with developers on integration and API test coverage.
• Integrate regression suites into CI pipelines so every RC build is automatically validated before manual testing begins.
• Drive automation coverage toward a state where manual regression is focused on new features, not re-testing known-good functionality.
• File all bugs in Jira with clear reproduction steps, environment details as defined.
• Triage and prioritise incoming bugs; communicate release-blocking issues to the product engineering team.
• RanWork with developers during code review to ensure testability, meaningful test coverage, and that new features include adequate unit and integration tests before reaching QA.
• Support PM UAT on Staging - answer environment questions, provide test data, and reproduce issues on demand.
• Maintain test plans, test case documentation, and regression checklists as the authoritative QA reference.
• Document recurring issues, environment quirks, and common failure patterns so knowledge is not locked in one person.

Qualifications

Required

• Working knowledge of trading markets and financial instruments, including equities, futures, and leveraged asset classes. You understand how these products behave, what failure modes look like from a trader's perspective, and why accuracy and timing are non-negotiable in a live trading context.
• Proven experience as a QA Engineer on web and/or mobile software products with a structured, process-driven approach to release quality.
• Hands-on experience writing and maintaining automated E2E test suites using frameworks such as Playwright, Cypress, or similar.
• Solid understanding of the full QA lifecycle: test planning, regression execution, bug management, environment ownership, and release sign-off.
• Familiarity with CI/CD pipelines and the ability to integrate test suites into automated build and release workflows.
• Experience with Jira or similar for bug tracking and release management
• Strong written communication skills - clear, precise bug reports and sign-off documentation are non-negotiable.
• Ability to work autonomously and alongside a team
• Reliable and thorough - you follow through, you don't rubber-stamp, and you treat the QA gate as a genuine responsibility.

Preferred

• Experience with React Native and/or Next.js web applications - familiarity with both mobile and web testing contexts.
• Background in fintech, trading platforms, or other regulated/high-stakes software environments where production quality is not negotiable.
• Experience with API testing tools (Postman or similar) and a solid understanding of REST and WebSocket APIs.
• Exposure to mobile testing via TestFlight and device-based regression for React Native applications.
• Familiarity with NX monorepos and multi-environment deployment pipelines (dev, staging, production).
• Experience maintaining QA documentation in Confluence or similar knowledge bases.
• Comfort operating across multiple products or teams simultaneously, helping manage parallel release cycles with independent cadences.

Business Intelligence & Data Analyst

Location: Hybrid
Type: Full-Time
Reports to: Director of Business Intelligence

We're looking for an analytically strong, hands-on BI & Data Analyst with 3-5 years of experience turning data into decisions. In this role, you'll own our Power BI environment, work directly in Microsoft Fabric, and partner across the business to deliver reporting and insights that drive better decisions.

About MyFundedFutures

MyFundedFutures (MFF) is a fast-growing futures evaluation and trading firm built for the next generation of global traders. We sit at the intersection of capital markets, technology, and risk, giving traders the tools, capital, and infrastructure to succeed.

Our data platform is already built on Microsoft Fabric using a Medallion architecture (Bronze, Silver, Gold), with clean, structured data flowing across trading platforms, CRM, risk engines, payments, support, and marketing data. The foundation is in place. Now we need someone to expand our Power BI ecosystem across the business and help strengthen a culture where decisions are backed by data.

What You'll Be Doing

Data & Reporting

• Own our Power BI environment end to end, including semantic models, DAX, and dashboards for executive leadership, risk, finance, operations, marketing, and support.
• Maintain and improve data pipelines in Microsoft Fabric, including Data Pipelines, Dataflows, and Notebooks, to keep data flowing reliably across the business.
• Build scalable data models using star schema and fact/dimension design principles.
• Deliver automated daily, weekly, and monthly reporting that gives teams timely, reliable access to key metrics.

Analysis & Insights

• Analyze trader behavior, including success rates, churn, risk signals, and anomalies.
• Support pricing, product, and growth decisions through scenario modeling, sensitivity analysis, and financial performance reviews.
• Identify early warning signals in risk and operational data before they become larger issues.

Cross-Functional Partnership

• Partner closely with the COO, Risk, Finance, Marketing, Product, and Support teams to translate business questions into analytical frameworks and actionable insights.
• Act as a trusted internal partner who helps teams understand what is happening in their area of the business and why.

What We're Looking For

Required

• 3-5 years of experience in business intelligence, data analytics, or a related field.
• Strong SQL skills, including complex queries, CTEs, window functions, and performance tuning.
• Hands-on Power BI experience, including semantic models, DAX, and business-critical reporting.
• Python and/or PySpark experience for data work, including pandas, scripting, API calls, and automation.
• Strong data modeling fundamentals, including schema design, grain definition, and scalable reporting structures.
• Experience with Microsoft Fabric or a comparable platform such as Azure Synapse, Data Factory, or Databricks.
• Experience integrating data from APIs, webhooks, or third-party SaaS platforms.
  
  

Nice to Have

• Experience in capital markets, futures trading, prop firms, or brokerage operations.
• Familiarity with drawdowns, leverage, volatility, and liquidation concepts.
• Experience working with financial time-series data.
• Interest in machine learning use cases such as churn prediction, anomaly detection, and forecasting, with openness to tools such as AutoML and MLflow as that capability evolves.

How You Work

• You translate complex data into clear, practical narratives for non-technical stakeholders.
• You work autonomously and are comfortable taking initiative in a fast-moving environment.
• You bring a strong sense of ownership and follow through on problems from identification to resolution.
• You are comfortable operating in ambiguity and can create structure when priorities are evolving.
• You think critically and creatively, challenge assumptions, and look for better ways to solve problems.

Why MFF

• Help shape how a high-growth trading firm makes decisions.
• Work alongside experienced operators from capital markets, fintech, and trading technology.
• Flexible work environment focused on outcomes and impact.
• Competitive compensation and meaningful room to grow as the company scales.