Data Scientist - Financial Content & Analytics
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.
FAQs
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