Data Analyst

A sophisticated, data-driven FinTech enterprise that designs and builds advanced statistical forecasting models and predictive analytics systems for global financial markets.

The company develops algorithmic architectures and quantitative frameworks to identify market trends, mitigate investment risks, and process complex economic datasets in real time, bridging mathematical rigor with high-performance computing.

The company's core research and engineering center is located in Ra'anana, supporting a professional, analytical, and highly collaborative environment.

Position Overview

• Data Analyst / Quantitative Research Analyst joining an elite, interdisciplinary research and analytics squad to drive data-backed strategic financial insights.

• Conducting deep-dive quantitative analyses on multi-source, massive financial datasets to optimize predictive model accuracy and evaluate statistical variables.

• Designing, writing, and executing complex, high-performance database queries to extract, clean, and structure raw market metrics.

• Building data prototypes and programmatic scripts to automate statistical testing, evaluate data distributions, and visualize market indicators.

• Core Ecosystem- Statistical Modeling, Quantitative Analysis, Financial Data, SQL, Python, R, Predictive Analytics, and Data Visualization.

Requirements

• 3+ years of proven professional experience as a Data Analyst, Data Scientist, or Quantitative Analyst – Mandatory

• Deep, unassisted technical command of SQL for writing advanced queries, manipulating large-scale tables, and structuring data – Mandatory

• Hands-on programmatic scripting capabilities utilizing Python or R for data manipulation and statistical packages – Mandatory

• Strong foundational comprehension of Statistical Analysis, Data Distributions, Hypothesis Testing, or Quantitative Modeling – Mandatory

• Prior professional experience operating within the financial sector, FinTech, trading desks, or economic modeling domains – Significant Advantage