Data Scientist, Equity Research

cfra; Bengaluru; Sur place; INR 1 500 000 - 2 100 000; Plein temps

Résumé du poste

CFRA is seeking a Data Scientist to join our equity research technology team in India. You will apply statistical modeling, machine learning, and finance domain expertise to build tools powering CFRA's equity research platforms.

The ideal candidate combines data science skills with a grounding in financial markets and equity analysis, with CFA progress and hands-on equity research experience strongly preferred for close collaboration with analysts.

Qualifications

• Strong data science and programming skills with a grounding in financial markets.
• Ability to translate raw financial data into research-grade signals and models.
• Familiarity with equity analysis and investment methodology is preferred.

Responsabilités

• Apply statistical modeling and machine learning to build equity research tools.
• Collaborate with analysts to power independent research and analytics platforms.
• Translate financial data into actionable insights for clients.

Connaissances

Data Science

Statistical modeling

Machine learning

Programming

Finance knowledge

Formation

CFA candidate

Finance degree

Outils

Python

R

SQL

Description du poste

CFRA is looking for a Data Scientist to join our equity research technology team in India. This role sits at the intersection of quantitative finance and data science, applying statistical modeling, machine learning, and financial domain expertise to build tools that power CFRA's independent equity research and investment analytics platforms.

The ideal candidate combines strong data science and programming skills with a genuine grounding in financial markets and equity analysis — someone who can translate raw financial data into research-grade signals, models, and insights that analysts and clients rely on. A CFA charter (or progress toward one) and hands-on equity research experience are strongly preferred, as this role requires close collaboration with research analysts and a working understanding of financial statement analysis, valuation, and investment methodology.