Talent.com
Data Scientist - Financial Content & Analytics

Data Scientist - Financial Content & Analytics

Selby JenningsNew York, NY, United States
1 day ago
Job type
  • Full-time
Job description

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

    Create a job alert for this search

    Data Scientist • New York, NY, United States