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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