Data Scientist - Financial Content & Analytics

This range is provided by Selby Jennings. Your actual pay will be based on your skills and experience talk with your recruiter to learn more.

Base pay range

$180,000.00/yr - $250,000.00/yr

Overview

A leading financial organization is seeking a versatile Data Scientist to support its content and research teams. This hybrid role blends quantitative analysis with editorial strategy, enabling the creation of compelling market insights through data-driven storytelling. The ideal candidate will work closely with strategists, researchers, and economists to uncover trends, build analytical tools, and enhance the delivery of financial narratives.

Key Responsibilities

• Act as the primary data resource for financial content creators, providing tailored analytics and responding to data-related inquiries.
• Perform time series analysis across macroeconomic and market indicators (e.g., inflation, interest rates, equities, FX, commodities).
• Develop software tools, dashboards, and visualizations to support self-service analytics and enhance storytelling.
• Automate recurring data workflows using Python, SQL, and visualization platforms.
• Collaborate with editorial leads to identify data-driven opportunities and structure insights to support narrative development.
• Apply statistical and machine learning techniques to generate predictive or thematic insights.
• Maintain clear documentation and data lineage across pipelines and analytical processes.

Qualifications

• 4-7 years of experience in data science, quantitative research, or analytics within financial services, consulting, or similar environments.
• Academic background in economics, finance, statistics, computer science, or related disciplines.
• Hands-on experience with financial and macroeconomic datasets.
• Technical proficiency in:
  
  • Python (e.g., pandas, statsmodels, scikit-learn, Plotly/Altair)
  • SQL and data wrangling
  • Time series modeling (e.g., ARIMA, VAR, Prophet, X13ARIMA-SEATS)
  • Dashboarding tools (e.g., Tableau, Power BI, Streamlit, Dash, D3)
  
  
• Strong communication skills, with the ability to explain complex analyses to non-technical audiences.
• Experience working in cross-functional teams, ideally in research or editorial settings.

Preferred Skills

• Familiarity with cloud-based data platforms (e.g., Databricks, Snowflake, AWS/S3).
• Exposure to large-scale or alternative datasets used in financial research.
• Experience collaborating with strategists, content teams, or marketing professionals.
• Background in consulting, investment research, or asset management is a plus.

Why This Role?

• Join a high-impact team shaping how financial insights are developed and shared.
• Combine analytical rigor with creative storytelling.
• Collaborate with experts across finance, data science, and publishing.

Seniority level

• Entry level

Employment type

• Full-time

Job function

• Information Technology

#J-18808-Ljbffr