Quantitative Associate, Capital Markets — Python & Analytics

Palmetto; New York (NY); In loco; USD 140.000 - 190.000; Tempo pieno

Descrizione del lavoro

Palmetto, a consumer energy platform, is hiring a Quantitative Associate, Capital Markets in New York City. The role centers on turning data into strategic financing insights, building Python tools, and translating Excel models for faster, scalable analysis.

You’ll work closely with FP&A and Treasury to shape capital structure and opportunities. You should have a quantitative degree and 2–4+ years in data analytics or finance-related roles, with strong Python/SQL skills and a track record of

Competenze

• Bachelor's degree in a quantitative field is required.
• 2–4+ years in data analytics, data science, or software roles with finance exposure.
• Strong Python and SQL proficiency; ability to translate Excel models into code.
• Experience building models, dashboards, and automated reporting from large datasets.

Mansioni

• Mine Palmetto's data backlog to surface insights for capital structure.
• Build Python-based tools and dashboards translating large datasets into outputs for leadership.
• Translate Excel-based models into Python to improve speed and repeatability.
• Analyze market and macro trends to inform financing decisions.
• Support preparation of investor materials and assist with capital planning.

Conoscenze

Python

SQL

Data analysis

Excel modeling

Financial modeling

Dashboarding

Formazione

Bachelor's degree in a quantitative field (e.g., CS, Stats, Math, Data Science, Eng)

Strumenti

Pandas

NumPy

Excel

Descrizione del lavoro

Palmetto, a consumer energy platform, is hiring a Quantitative Associate, Capital Markets in New York City. The role centers on turning data into strategic financing insights, building Python tools, and translating Excel models for faster, scalable analysis.

You’ll work closely with FP&A and Treasury to shape capital structure and opportunities. You should have a quantitative degree and 2–4+ years in data analytics or finance-related roles, with strong Python/SQL skills and a track record of