Job Responsibilities: - Data Analysis: Using your analytical skills, you will analyze KYC data to identify patterns, trends, and anomalies. This analysis may involve examining customer profiles, transactional data, and other relevant information to detect suspicious activities or potential risks. - Reporting and Visualization: You will prepare reports, dashboards, and visualizations to present the findings of your analysis to stakeholders, including management, compliance teams, and regulators. These reports should be clear, concise, and actionable, helping stakeholders make informed decisions and mitigate risks. - Process Improvement: As an experienced data analyst, you will contribute to process improvement initiatives in the KYC space. This may involve identifying inefficiencies, suggesting automation or optimization opportunities, and collaborating with cross-functional teams to enhance data workflows and streamline processes. - Collaboration: You will work closely with other stakeholders, such as compliance officers, AML analysts, and IT teams, to support the overall KYC process. Effective collaboration and communication are essential to align data analysis efforts with the organization's objectives and compliance goals. - Continuous Learning: The field of KYC and data analysis is constantly evolving. You should actively seek opportunities to enhance your knowledge and skills by staying abreast of industry trends, attending relevant training or conferences, and pursuing certifications in data analysis or compliance. - Ethical Considerations: As a data analyst in the KYC space, you will handle sensitive customer information. It is crucial to adhere to ethical standards, maintain confidentiality, and ensure the responsible and lawful use of data at all times. Required Qualifications, Skills and Capabilities : - 3 years of industry experience in Data related project - Good understanding of database concepts with a strong proficiency in SQL and Excel (formulas/pivots/graphs and other advanced features) - Proven track record of analyzing and mapping vast amounts of data, to find actionable insights for operational and strategic decision making. - Demonstrated experience working on data wrangling tools (such as Microsoft SSIS, Alteryx, Talend) or Python, and Data visualization tools such as Tableau, Qlik JPMorgan Chase & Co., one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. In accordance with applicable law, we make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as any mental health or physical disability needs. Job Type - PERMANENT, FULLTIME Note : For your candidature to be considered on this job, you need to apply necessarily on the company's redirected page of this job. Please make sure you apply on the redirected page as well.

Hyderabad

JP Morgan Chase - Data Analyst - Analytics Solutions 

Job Description for JP Morgan Chase - Data Analyst - Analytics Solutions  in JP Morgan Chase in  Hyderabad for (3-8) years of experience. Apply Now!