Analytics Solutions Associate

You are a detail-oriented and analytical thinker passionate about driving solutions in the KYC data management and analysis space. You have found the right team. As a Data Analyst within our KYC team, you will spend each day collecting, analyzing, and reporting on KYC-related data to ensure compliance and mitigate risks for our firm. Job Responsibilities Collect, organize, and maintain KYC-related data from various sources, ensuring data integrity, accuracy, and completeness. Analyze KYC data to identify patterns, trends, and anomalies, detecting suspicious activities or potential risks. Prepare reports, dashboards, and visualizations to present analysis findings to stakeholders, including management, compliance teams, and regulators. Contribute to process improvement initiatives by identifying inefficiencies and suggesting automation or optimization opportunities. Collaborate with compliance officers, AML analysts, and IT teams to support the overall KYC process. Stay abreast of industry trends and pursue opportunities for continuous learning in data analysis and compliance. Adhere to ethical standards, maintain confidentiality, and ensure the responsible and lawful use of data. Support cross-functional teams in enhancing data workflows and streamlining processes. Communicate effectively to align data analysis efforts with organizational objectives and compliance goals. Develop actionable insights to help stakeholders make informed decisions and mitigate risks. Ensure compliance with data privacy and security regulations. Required Qualifications, Capabilities, and Skills Bachelor's degree in Data Science, Statistics, Finance, or a related field. Proven experience in data management and analysis, KYC or financial services sector. Strong analytical skills with the ability to detect patterns and anomalies in large datasets. Proficiency in data visualization tools such as Tableau or Power BI. Excellent communication skills to present findings clearly and concisely to stakeholders. Knowledge of data privacy and security regulations. Ability to work collaboratively with cross-functional teams. Strong problem-solving skills and attention to detail. Experience in process improvement and optimization. Ability to handle sensitive customer information ethically and responsibly. Commitment to continuous learning and professional development.