Analyst Fraud Intelligence Analytics-1

Our vision for the future is based on the idea that transforming financial lives starts by giving our people the freedom to transform their own. We have a flexible work environment, and fluid career paths. We not only encourage but celebrate internal mobility. We also recognize the importance of purpose, well-being, and work-life balance. Within Empower and our communities, we work hard to create a welcoming and inclusive environment, and our associates dedicate thousands of hours to volunteering for causes that matter most to them.

Chart your own path and grow your career while helping more customers achieve financial freedom. Empower Yourself.

Empower India Fraud Intelligence team is looking for a Fraud investigations analyst who is capable of conducting in-depth research and investigation on individual customers. The ideal candidate will collect, monitor and study transactions, requests and interactions data to provide detailed reports that help prevent possible bad actors, identify process slowdowns and ensure compliance with industry standards. In addition, we need someone who can look at existing business processes and make specific recommendations about what data needs tracking and how it can be used to improve further.

Role Responsibilities:

• Interpret data, analyze results using research techniques and provide ongoing findings
• Develop and implement databases, data collection systems, data analytics and other strategies that optimize efficiency and quality
• Identify different types of data sources that need tracking to improve business performance
• Acquire data from primary or secondary data sources and maintain databases/data systems
• Identify, analyze, and interpret trends or patterns in complex data sets
• Filter and "clean" data by reviewing reports, printouts, and performance indicators to locate and correct code problems
• Generate easy-to-interpret reports based on collected data
• Work with management to prioritize business and information needs
• Locate and define new process development and current process  improvement opportunities
• Identify areas for operational improvement and make suggestions for preventing the fraud activities
• Work with department managers to create data collection guidelines for internal use

Educational Qualification:

• Graduate / Post-graduate degree in Business Management/Statistics/Economics/ Technology/Finance

Required Experience:

• 1-3 years of experience working in Risk and Fraud reporting & analytics, transaction investigations or related experience
• Attention to detail, and should be open to learn quickly on new technologies in analytics like SAS, SQL, AWS, Python, DISCO, Tableau and so forth

Required skills and competencies:

• Technical expertise regarding data models, database design development, data mining and segmentation techniques
• Strong knowledge of and experience with reporting packages like Business objects, SAS, SQL, Tableau, Advanced Excel
• Basic to intermediate analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
• Adept at queries, report writing and presenting findings
• Overall understanding of US Retirement Industry

Self-motivation, excellent accountability and ownership skills

This job description is not intended to be an exhaustive list of all duties, responsibilities and qualifications of the job.  The employer has the right to revise this job description at any time.   You will be evaluated in part based on your performance of the responsibilities and/or tasks listed in this job description.   You may be required perform other duties that are not included on this job description. The job description is not a contract for employment, and either you or the employer may terminate employment at any time, for any reason, as per terms and conditions of your employment contract.

We are an equal opportunity employer with a commitment to diversity.  All individuals, regardless of personal characteristics, are encouraged to apply.  All qualified applicants will receive consideration for employment without regard to age, race, color, national origin, ancestry, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, religion, physical or mental disability, military or veteran status, genetic information, or any other status protected by applicable state or local law. 

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