Overview

We are building advanced analytics and machine learning solutions on top of our high-performance FinTech platform. As part of the LLM & ML Analytics Team, you’ll automate, design, implement, and deploy monitoring, reporting, and forecasting systems—delivering actionable insights and enabling advanced workflows, including natural language analytics powered by LLM agents.

Responsibilities:
  • Develop statistical models and machine learning algorithms (e.g., anomaly detection, clustering, regression) with an understanding of customer demands.
  • Prepare, engineer features, and analyze large-scale financial datasets.
  • Build and maintain production-ready ML pipelines for model training, validation, and performance monitoring.
  • Design and implement workflows for reporting, alerting, and forecasting.
  • Develop and refine LLM-powered agents to enable natural language interaction and analytics automation.
  • Drive the deployment and support of your products.
Nice To Have:
  • Understanding of financial market data and experience working with FinTech platforms.
  • Exposure to advanced LLM techniques and frameworks (e.g., RAG, LangGraph, multi-agent pipelines).
  • Experience with MLOps practices, containerization, CI/CD pipelines, and model monitoring in production.
Required Qualifications:
  • 2–4 years of experience in Data Science, including hands-on development and validation of statistical models and ML solutions.
  • Strong proficiency in Python and data analysis libraries (numpy, pandas, scikit-learn, LightGBM).
  • Solid knowledge of database systems and ETL processes (SQL, data aggregation).
  • Practical experience integrating LLM APIs and related tools (OpenAI API, MCP, Langfuse).
  • Strong engineering focus on product integration and deployment.
  • Proficient spoken, written, and reading English skills required.
Benefits:
  • Join a high-caliber team at the intersection of AI and FinTech.
  • Drive the development of business-critical features and share your expertise through technical articles and demos.
  • Work with a cutting-edge stack: LightGBM, Langchain, Langfuse, AWS and more.
  • Influence the direction of our products and deliver rapid, tangible impact.
  • Enjoy a collaborative environment with fast release cycles and a strong engineering culture.
Note:

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