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We are SwissBorg, a FinTech scale-up headquartered in Lausanne, Switzerland. Our flagship product, the SwissBorg app,...

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Quantitative Finance Data Science Intern

SwissBorg Lisbon

Live

$27k - $67k · Senior Full-time Posted 9 months ago 3 min read

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.

Join us in shaping the future of finance, pushing the boundaries of what's possible, and transforming the way people manage their wealth. Whether you’re in Austria or Taiwan, and whether your portfolio is worth one dollar or a million, SwissBorg provides the best tools to learn about digital currencies and manage your wealth effectively.

Join the team to help revolutionise the world together!

What You’ll Be Doing:

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 solution
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.

What You Bring:

Currently pursuing or holding an 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.

Why you should apply:

- Freedom to build the company of your dreams

- Learn with (super cool) experts in finance, engineering, AI, psychology and business

- BORG bonus based on our meritocratic system

- Flexible working hours

- 25 working days of vacation + local holidays

- We'll provide you with a MacBook and a cutting edge tech stack to help you do your best work

- Annual company and team retreats - We'd love to see you at the next one!

- Continuous learning and development opportunities

If our job description speaks to you, but you don’t feel like you meet 100% of the requirements, apply anyway! You may have skills we didn’t even know we needed.

At SwissBorg, we embrace diversity. We strongly believe that getting the best outcome requires different perspectives and backgrounds. We’re committed to openness, curiosity and creating an inclusive culture because we know that diverse teams build better products and generate better ideas. We strongly encourage applications from everyone!

Familiarising yourself with our product is crucial for anyone looking to join our team. Please make sure to test the app, explore our blog for the latest developments, and follow our Careers Page, LinkedIn, and X for regular company updates!

Ready to apply? You'll go straight to the hiring team.

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