We are looking for you if you are dedicated to helping BrokerChooser build a world-class engineering organization and demonstrate a great degree of autonomy, end-to-end ownership and flexibility by working closely with our tech & business team.
✨ We're building the company culture for growth:
- We dream big and build world-class products - We believe in taking full ownership of our projects and expect everyone on our team to bring their best ideas and initiatives to the table.
- Ship fast and learn from it - We blend the structure of a corporate environment with the agility of a startup, launching new features daily, trying new technologies and running numerous A/B tests to see what works best.
- We're going international - We're attracting top talent from across Europe and beyond, building a diverse, multidisciplinary team that’s as dynamic as the FinTech world we’re shaping.
- Strong feedback culture - We run an advanced feedback system that prioritizes open communication and offers the opportunity to delve deeply into your performance in monthly discussions.
- Annual salary benchmarks, equity option - We offer competitive salaries based on market benchmarks that are adjusted annually ensuring that your compensation remains fair and competitive.
✔️ Tasks - You'll start working on improving our existing AI use cases and build new ones
- Maintain an AI powered translation application to translate our content to 90 different languages, analyze and improve current translation quality.
- Build an agent for our personal assistant which can recommend brokers, bring market data, answers portfolio based questions.
- Increase the quality and accuracy of the answers provided by our Personal Assistant (Nuri) LLM after users' questions.
- Monitor, maintain and scale our RAG data pipeline using LLM tools to extract broker related data points.
🔬 Do you have what it takes?
- 5+ years of relevant Data and Software Engineering experience
- Experience with building, maintaining and deploying production ready AI / LLM based applications
- A business and impact focused mindset, not afraid of big data sets, can independently draw conclusions and take the initiative
- Take full ownership for your projects and independently drive planning, implementation, tracking, update management about your progress
- Strong understanding of the industry or domain your are working in, as well as the ability to communicate effectively with both technical and non-technical stakeholders
- Working proficiency in English; no exam is needed, but interviews and tests might be conducted in English
🍀 Nice to have
- Previous Data Scientist experience
- Previous experience with the following tools: data warehouse solutions (eg. BigQuery, Redshift, Snowflake), BI tools (eg. Tableau, Metabase, Power BI), Python pandas, LangChain, LLMs, OpenAI, Anthropic
- Previously mentored and apprenticed junior / medior colleagues on the team
🚀 What do we do?
In today's fast-paced FinTech landscape, we stand out as a leading global platform for brokerage comparison and financial education. Based in Budapest, Hungary, we’re here to guide individual investors all over the world with clear, unbiased, and thorough reviews of brokerage services worldwide.
Founded by finance professionals, we combine cutting-edge AI and Data Science with expert analysis to compare over 100 brokers, catering to diverse investment needs. We are a tight-knit team of 45 professionals, growing at an impressive annual rate of 50%, all while being completely bootstrapped. Our goal? To hit $4 million in annual recurring revenue (ARR) by 2024, with a potential to grow 30 times over.
Our insights are regularly featured in top-tier publications like Bloomberg, Financial Times, Forbes, and CNBC. Our innovative approach has earned us the title of Best Fintech Startup in Hungary by CESA. Plus, the feedback we provide is often implemented by industry leaders like Interactive Brokers.
We’re proud to serve nearly 700,000 monthly users across more than 200 countries, offering personalized advice in over 60 languages, saving over 10,000 people from scams every month.
To learn more about the team, visit our Career site and check out this video.