Top Data & Analytics Jobs

Curate, cleanse, validate, and maintain large US equity and options datasets; integrate fundamental and alternative data; build data pipelines for research and trading; perform statistical and ML analysis to identify market patterns; document data provenance and collaborate with engineers and traders to deploy production-grade models.

Design and develop methods to analyze large datasets, create machine learning models, and communicate insights to stakeholders in product and service teams.

Interns will work on security and privacy challenges using systems programming, data analysis, and open-source development to enhance internet integrity and reliability.

As a Quantitative Research Engineer, design, develop, and implement software for automated trading systems using advanced statistical techniques. Collaborate with researchers and prioritize business needs.

The role involves ensuring HR data quality and governance, implementing BI tools, managing data-related issues, and supporting AI/ML model oversight in HR.

Develop and implement software solutions for automated trading systems, working with quantitative researchers on complex financial challenges.

Lead subscription analytics for SoFi Plus: define engagement/retention metrics, run deep-dive analyses and experiments, build scalable data pipelines and ML models, create executive dashboards, and influence product strategy to grow subscription value.

Lead enterprise data governance, quality, and lineage strategy. Mentor teams and partner with engineering to enhance data intelligence through AI-driven frameworks.

Analyze and assess emerging and disruptive technologies' implications on national security, produce intelligence assessments, and support object-based intelligence production. Collaborate with technologists to integrate advanced analytics into workflows.

Lead data science projects to optimize drug development using AI. Develop models for patient selection and clinical trial evaluations while collaborating with cross-functional teams to drive insights.

This co-op position involves supporting Supply Chain Analytics by developing data engineering solutions, business dashboards, and predictive models while gaining industry exposure and mentorship.

Build and deploy machine learning models end-to-end: acquire and prepare data, perform EDA and feature engineering, evaluate and tune models, create visualizations, and communicate insights to cross-functional teams to improve customer care experiences.

The Risk Analyst will develop strategies to mitigate fraud risk, analyze data, and collaborate with various teams to support low friction customer experiences. Responsibilities include reviewing accounts, creating analytical models, and reporting on progress against business goals.

As a PhD intern, you'll design, develop, and deploy software solutions for automated trading, collaborating with the Quantitative Research team.

Lead the transformation of Taskrabbit's data capabilities, define and execute the data strategy, and drive business outcomes through a high-performing data organization.

As a Senior Analyst, you'll bridge Engineering and In-Home Services, ensuring seamless Pay TV service stability during software updates, lead project management, and implement AI-driven solutions for enhanced customer experience. Responsibilities include analyzing technical issues, mentoring junior analysts, and optimizing support workflows.

Develop and deploy advanced statistical and ML models on large-scale alternative datasets to generate investable signals, partner with investment teams, evaluate data quality, and drive novel data-driven research with commercial impact.

The role involves developing advanced risk and valuation models, mentoring junior quants, and engaging with clients on complex analytical queries.

The Senior Data Scientist will lead care gap analyses and HCP segmentation strategies using real-world data, mentor team members, and communicate insights to support medical affairs.

The role involves developing and calibrating financial models, enhancing analytics frameworks, collaborating across teams, and applying quantitative methods to improve business performance.

Lead analytical studies to enhance Snap's SMC business, mentor a team of analysts, and develop data-driven strategies to inform growth and sales decisions.

The Senior Manager will lead model validation efforts, including economic forecasting and risk management models, while collaborating with business leaders and managing a team of analysts.

Design, develop, and deploy software solutions for automated trading systems while collaborating with researchers on technology priorities.

Responsible for validating market risk models and ensuring their accuracy. Engage with various stakeholders, communicate findings, and maintain model integrity while leveraging innovative analytical technologies.

The role involves developing and deploying advanced quantitative models, utilizing machine learning and cloud solutions, and collaborating with various business lines to enhance financial processes.