Quant Data Scientist — Alpha Signals & Sector Analytics

Energy Jobline ZR; New York (NY); On-site; USD 140,000 - 240,000; Full time

Job summary

Energy Jobline ZR partners with a top quant fund to hire a Data Scientist for the portfolio management team, focusing on translating massive, unstructured datasets into actionable market signals and KPI monitoring. You will build sector trackers, perform ad-hoc analysis of market positioning, and apply Python-based PyData tools to enhance risk-adjusted returns. Strong SQL, visualization skills, and statistical rigor are essential.

Qualifications

• 1–5 years of experience within a top-tier Investment Bank (Equity Research, Quant Strategy) or leading hedge fund.
• Solid understanding of financial markets, corporate balance sheets, and macroeconomic drivers.

Responsibilities

• Alpha: Source, clean, and analyze proprietary datasets to identify signals.
• Sector Intelligence: Build trackers for sector KPIs to predict earnings surprises and inflection points.
• Portfolio Support: Conduct ad-hoc technical analysis on market positioning to optimize risk-adjusted returns.

Skills

Python

SQL

Data Visualisation

Statistics

Time-series

Education

Bachelor's degree in a quantitative field

Tools

Pandas

NumPy

Scikit-learn

Tableau

Power BI

Plotly

Job description

Energy Jobline ZR partners with a top quant fund to hire a Data Scientist for the portfolio management team, focusing on translating massive, unstructured datasets into actionable market signals and KPI monitoring. You will build sector trackers, perform ad-hoc analysis of market positioning, and apply Python-based PyData tools to enhance risk-adjusted returns. Strong SQL, visualization skills, and statistical rigor are essential.