Job Url: https://www.remoterocketship.com/company/ltse/jobs/ecm-and-data-science-analyst-united-states-remote

Job Description: 
Long-Term Stock Exchange
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Long-Term Stock Exchange is a stock exchange that champions long-term focused companies by providing a business ecosystem designed to drive long-term profit with purpose. The exchange supports visionary companies by offering public listings that reward purpose-driven leadership and a platform that values long-term stability with governance principles focused on sustainable development. 

LTSE sets itself apart with a set of SEC-approved principles promoting innovative corporate governance, long-term strategy, and strong stakeholder relationships. With a state-of-the-art trading platform and a commitment to long-term prosperity, LTSE aims to reshape how businesses prioritize enduring value over short-term gains. 


51 - 200 employees


Founded 2018

💸 Finance

🏢 Enterprise

🏦 Banking

ECM and Data Science Analyst
Yesterday

🇺🇸 United States – Remote

💵 $120k - $170k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

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📋 Description
• We're looking for someone who's interested in elevating the public equity markets through data science.
• The ECM & Data Science Analyst will empower our Capital Markets Advisory team to use sophisticated analytics to support client deliverables and internal projects.
• This individual will champion data-driven decision-making, and will jump at the opportunity to use a variety of data sources to answer difficult questions.
• This is a great opportunity to leverage Equity Capital Markets knowledge, strong analytical skills, and creative problem-solving through research to support clients to execute against the long-term.

🎯 Requirements
• Adept at using FactSet to analyze individual companies, sectors, and macro-economic topics (e.g. inflation, interest rates, geo-political tensions).
• Ready to use advanced Excel skills, to design new or creative analyses to support day to day operations.
• Comfortable applying quantitative and analytical skills to market data.
• Experienced at interpreting data, drawing key conclusions, and turning data sets into easily digestible, customer-facing materials (slides, graphics).
• Skilled at using SQL and Python for financial and/or data analysis; experience creating analysis and outputs with Jupyter Notebooks.
• Ready to collaborate with a data engineer to automate analysis.

• 3+ years of professional working experience, ideally at an investment bank.
• Advanced knowledge of financial and capital markets data.
• The ability to communicate complex quantitative analysis in a clear, precise, and actionable manner.
• 'Always Be Learning' mentality.

• Work experience with FactSet and SEC data.
• You are curious and practice operating with a beginner's mindset.
• Have creativity to create novel analysis and algorithms.

🏖️ Benefits
• Drive Innovation.
• Meet Great People.
• Achieve Balance.
• Prioritize Health.
• Focus on Family.
• Foster Growth.
• Invest in Savings.
• Give Back.
• Get Started.

Apply Now