Top Data & Analytics Jobs in Charlotte, NC

As an Investment Portfolio Control Consultant, you will assess and manage investment risks, analyze portfolio data, and design quantitative models to monitor risks, while collaborating with various stakeholders.

As a Senior Associate in Financial Risk Modeling, you will develop and validate econometric models, lead projects, and provide recommendations to manage financial risks for clients.

Lead a team of Compliance Analysts in transaction monitoring and enhanced due diligence, ensuring compliance with AML regulations and optimizing operations.

The role involves leading Risk Data Science, developing credit decisioning models, and ensuring compliance with model risk management in a regulated environment, focusing on next-gen machine learning techniques and alternative data integration.

The Regulatory Compliance Analyst oversees AI governance and third-party risk management, supports compliance activities, and collaborates with leadership to improve risk and compliance processes.

The Quantitative Analyst will analyze models and model risk practices, applying statistical and machine learning methods while collaborating with cross-functional teams to enhance business strategies and performance.

The IRRBB Senior Lead Analyst manages Interest Rate Risk across Citi, conducting analyses and ensuring compliance with regulatory requirements while collaborating with various teams for risk management.

Responsibilities include data analysis, systems design, Netezza scripting, ensuring data security, technical support for ETL processes, and defining data quality plans.

The AVP of Account Management Transactional Fraud is responsible for data analytics, validation, reporting, and project management related to account management initiatives, requiring strong SAS skills and Fiserv knowledge.

The Senior Data Analyst leads complex analytical projects, manages data quality standards, performs advanced analyses, and mentors analysts while developing visualization techniques for actionable insights.

The Data Analytics Lead in Financial Crimes develops strategies to identify risk trends, delivers analytics, and fosters a data-driven culture to combat financial crime.

The role involves engaging with partners to understand business strategies and translate them into analytical projects. The candidate will synthesize large data sets into actionable insights, validate analytical techniques, manage analytic processes, and mentor others in the analytics community.