Sr. Data Engineer - Fraud Protection and Analytics

  • Missouri
  • Ssec Technologies
SS&C is a global provider of investment and financial services and software for the financial services and healthcare industries. Named to Fortune 1000 list as top U.S. company based on revenue, SS&C is headquartered in Windsor, Connecticut and has 20,000+ employees in over 90 offices in 35 countries. Some 18,000 financial services and healthcare organizations, from the world's largest institutions to local firms, manage and account for their investments using SS&C's products and services.

Job Description

We are seeking a Data Engineer with a strong background data modeling focused fraud forensics, customer authentication, identity verification, and web analytics. The ideal candidate will have experience working with third-party vendors, PostgreSQL, and possess an understanding of the financial services industry, especially in reselling technology.

Key Responsibilities:

Design, build, and maintain efficient, reliable, and scalable data pipelines. Report generation and visualization design. Design and develop workflow automation, alerting and data aggregation flows. Implement best practices for data warehousing solutions using PostgreSQL. Mange web analytics to derive insights and support business decisions using Adobe or similar third-party platforms. Understand and address data privacy and security requirements.

Unless explicitly requested or approached by SS&C Technologies, Inc. or any of its affiliated companies, the company will not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. SS&C offers excellent benefits including health, dental, 401k plan, tuition and professional development reimbursement plan. SS&C Technologies is an Equal Employment Opportunity employer and does not discriminate against any applicant for employment or employee on the basis of race, color, religious creed, gender, age, marital status, sexual orientation, national origin, disability, veteran status or any other classification protected by applicable discrimination laws. #J-18808-Ljbffr