Top Data & Analytics Jobs

The Manager of Regulatory Submissions will lead regulatory strategies and submissions for global authorities, ensuring regulatory alignment with business goals while collaborating with cross-functional teams on medical devices.

The Head of Analytics Engineering will lead the Analytics Engineering team, oversee data infrastructure, and drive data initiatives within Block's Risk organization.

Lead the development of audit practices, enhance methodologies, integrate data analytics, ensure compliance, mentor teams, and communicate effectively with leadership.

The role involves validating market risk models, utilizing statistical modeling and machine learning, and clearly communicating findings to stakeholders.

Analyze and assess future technology for military applications, evaluate national security implications of disruptive technologies, and produce strategic assessments for decision-makers.

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

Lead a team to analyze patterns to mitigate fraud, driving efficiency through collaboration with analysts and data scientists while mentoring staff and enhancing investigation processes.

The Behavioral Insights Lead will manage a team focusing on cryptocurrency risk analysis, detecting fraud patterns, and enhancing data-driven responses to high-risk activities, using machine learning and deep domain expertise in Bitcoin.

As a Risk Manager, you'll analyze and mitigate security risks, implement fraud defenses, and collaborate with cross-functional teams to enhance security objectives.

Design and develop software solutions for automated trading systems, collaborating with quantitative researchers to define project priorities and deliver customized solutions.

The Principal Software Engineer oversees the architecture and deployment of data solutions, ensuring quality, efficiency, and compliance. They manage data integrity, guide technology collaboration, and lead the design and implementation of data systems and standards.

The role involves developing credit risk models, collaborating with business analysts, identifying automation opportunities, and ensuring model governance.

Lead the strategy and management of growth systems at Airwallex, focusing on driving revenue growth and developing data-driven solutions through experiments and technology.

As a Senior Fraud Data Analyst, you'll analyze fraud risk data, automate reporting, enhance insights, and support compliance efforts within the bank.

The HR Data and Analytics Leader will design and implement analytics strategies, lead a team to deliver insights, and promote AI use in workforce data analysis.

As a Quantitative Analyst, you'll enhance Capital Markets modeling and analytical frameworks, develop cloud-based solutions, and improve business performance using quantitative methods and machine learning.

The Senior Fraud Data Analyst will analyze data to prevent and detect device fraud using Python, Machine Learning, SQL, and Tableau, while collaborating with teams to enhance fraud prevention strategies.

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 Researcher at Citadel, you will use advanced statistical and machine learning techniques for investment modeling and portfolio optimization.

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

Manage multi-asset model portfolios, implement investment strategies, ensure compliance, utilize technology for process improvement, and collaborate with teams to enhance systems and analytics.

The role involves developing systematic trading strategies for futures, conducting data analysis, collaborating with teams, and refining trading strategies.

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.

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