At Sympera, we are building an AI-driven banking intelligence platform designed to scale relationship banking.
Our goal is to enable financial institutions to deliver personalized services at scale by empowering bankers to focus on customer needs, provide value, and drive growth through a state-of-the-art, agentic, verticalized AI platform.
As a Business / Data Analyst, you will play a crucial role in analyzing data and collaborating with LLM engineers to enhance our AI-based knowledge systems. You will also be responsible for structuring high-quality datasets for AI-powered solutions.
Key Responsibilities :
- Analyze data and market trends to generate intelligence for an LLM-based solution.
- Develop robust SQL queries and MongoDB scripts.
- Design structured datasets for AI-driven analytics and LLM training.
- Create real-world examples and benchmarks for RAG-based retrieval systems.
- Work closely with the LLM engineering team to optimize knowledge retrieval flows.
- Build dashboards and reporting tools to support risk analysis, compliance, and business intelligence.
Requirements :
B.Sc. in Data Science, Computer Science, Finance, Economics, or a related field.3+ years of experience in data analysis for financial services applications.3+ years of experience working with SQL and MongoDB queries.Familiarity with financial services datasets.Knowledge of RAG and LLMs, with the ability to structure data for AI-powered retrieval systems.Good understanding of banking system flows, products, and regulations.Excellent communication skills with the ability to convey complex data insights to non-technical audiences.Nice to Have :
Proficiency in data visualization tools (Tableau, Power BI).Understanding of business banking.Experience in Python (preferred) or R for data processing.Why Join Us :
Be part of a groundbreaking fintech startup at its earliest stage.
Lead innovative solutions transforming financial services.
Enjoy the flexibility of remote work and a culture that values knowledge sharing and collective success.