Quantitative Finance & Data Science Intern - Remote

Overview

At SwissBorg, our mission is to build a spectrum of investment experiences that help people redefine wealth. Our app has over 790,000+ verified users, offering the best price and liquidity across 16 fiat currencies to buy 100+ cryptocurrencies. Users can earn yield, diversify their portfolios with our themed crypto bundles, and gain access to exclusive alpha investment opportunities. Our community is rapidly expanding, with more than $1.4 billion in assets held in the app and over 51,000 premium users.

In Short

• Data Analysis & Reporting: Analyze user behavior and investment patterns to generate actionable recommendations.
• Exploratory Analysis: Assess user investment strategies and optimize performance insights.
• Investment Insights: Collaborate with the Investment team to build and maintain dashboards and reports for tracking investment opportunities.
• Product Metrics: Evaluate product performance, extract insights, and communicate findings to stakeholders.
• Collaboration: Work with data analysts, scientists, and engineers to ensure accurate, consistent, and scalable data solutions.
• Develop trading signals (trend-following, statistical stock-picking).
• Design and review market-making algorithms for CEXs/DEXs.
• Conduct sustainable performance assessment and proper backtesting.
• Collect and analyze on-chain data.
• Build visualization and reporting tools.
• Model DeFi strategies and assess on-chain trends.
• Use latest AI state of the art algorithms to help us manage risk and make client recommendations.

Requirements

• Currently pursuing or holding a BA in a technical or business discipline (Finance, Data Science, Engineering, Computer Science, etc.).
• Strong proficiency in Python (numpy, pandas, matplotlib).
• Experience with SQL for querying and managing datasets.
• Ability to collect, organize, and analyze large datasets with accuracy and attention to detail.
• Experience in creating dashboards and reports with clear, concise communication.
• Proactive, organized, and able to multitask in a fast-paced environment.
• Strong team player, with excellent communication skills, a positive attitude, and a strong work ethic.

Benefits

• Join a rapidly expanding community in the finance sector.
• Opportunity to work with cutting-edge technology and methodologies.
• Gain hands-on experience in quantitative finance and data science.
• Collaborate with a diverse team of professionals.
• Contribute to innovative projects that shape the future of finance.