Quantitative Data Analyst

Overview

We are hiring a Quantitative Data Analyst on behalf of a client to support data products, quantitative models, and research focused on emerging and frontier markets. This is a hands-on role working closely with quant analysts and leadership to deliver high-quality, production-ready data solutions.

Key Responsibilities

• Build and maintain data pipelines and ETL workflows for financial and macroeconomic datasets

• Monitor data quality and resolve issues across structured and unstructured data sources

• Support development of quantitative models and data products

• Perform statistical analysis, backtesting, and machine learning tasks

• Contribute to research outputs and market insights

Requirements

• Degree in Economics, Quantitative Finance, Statistics, or related field

• Strong proficiency in Python (pandas, numpy; ML libraries preferred)

• Experience with statistics or machine learning (e.g., regression, time series)

• Strong English communication skills

• Ability to work independently and handle real-world, imperfect datasets

Nice to Have

• Experience with fixed income or sovereign debt markets

• Exposure to NLP or large language models

• Knowledge of SQL and cloud platforms (e.g., AWS)

• Interest in emerging markets

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