Event Executive Internship

Are you someone who loves networking, building partnerships, and bringing events to life? We're looking for an event executive intern to help us identify, close, and execute sponsorship opportunities at finance, investing, fintech, startup, and Web3 events.

If you're excited about business development, event marketing, and creating high-impact brand activations that drive user acquisition, we'd love to hear from you.

Selected intern's day-to-day responsibilities include: 1. Identify and connect with organizers of finance, investing, startup, fintech, and Web3 events.

2. Pitch, negotiate, and close sponsorship opportunities. 3. Coordinate with internal and external stakeholders to ensure seamless event execution. 4.

Manage on-ground event activations and represent the brand. 5. Track event performance and help optimize user acquisition from every event. Who can apply: Only those candidates can apply who: • are available for full time (in-office) internship • can start the internship between 5th Sep'26 and 10th Oct'26 • are available for duration of 3 months • have relevant skills and interests Stipend: INR₹ 25,000 /month Deadline: 2026-10-08 23:59:59 Skills required: Leadership, Event Management, Time Management, Networking, Market research, Marketing and Effective Communication Other Requirements: • 1.

Excellent communication and relationship-building skills. • 2. Strong organizational and project management abilities. • 3. A proactive, execution-first mindset.

• 4. Interest in fintech, investing, startups, crypto, or Web3 is a big plus. About Company: Mudrex, a Y Combinator-backed startup, started in early 2018 and is based out of Bangalore.

Mudrex has a very strong founding team, all from IITs. The 5 founders have set up various companies in the past, like Housing.com, Niffler, sabjiwala.

com & PaxPlay. The platform allows crypto traders to automate their trading strategies without writing a single line of code. Users can start by building their strategy on the visual editor using a drag-and-drop tool to build their strategy.

This strategy is then tested on historical data and optimized for trading. Once the user has spent enough time optimizing and is reasonably sure of the strategy, they deploy it on paper or mock trading, where traders trade on live markets with dummy money to see the performance.