hotskills.tech

About Job

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 wranglingTime 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. job perk: Salary: 180K–250K a year, job perk: Schedule Type: Full-time