Fraud Analytics Developer - Cyber Security Associate

Company profile:
Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, wealth management and investment management services. With offices in more than 41 countries, the Firm's employees serve clients worldwide including corporations, governments, institutions, and individuals. For further information about Morgan Stanley, please visit www.morganstanley.com.

Cyber Data Risk & Resilience
The mission of CYBER DATA RISK & RESILIENCE is to deliver first-line defenses to manage risks to Firm technology, information and cyber threats through risk identification, control management and assurance. This allows the business to operate and grow in a secure and legally compliant manner.

Our vision is to deliver Programs that protect and enable the business, ensure secure delivery of services to our clients, adjust to address the risks presented by an evolving threat landscape, meet regulatory expectations, and offer highly attractive career opportunities.

Team: Fraud Operations, under the Technology & Operations Risk division, plays a key role in supporting the Firm, delivers industry leading operational solutions by aligning the right functions, people, processes, and tools to ensure the Firm is protected against internal and external fraud risk.

Role: Data Analyst for Architecture and Strategic Initiatives #LI-SK1

Required Skills:
> 4+ years of analytic/programming experience or proficiency in programming combined with experience in financial services
> Practical and applied experience using statistical or general-purpose programming languages (Python, R etc) to implement statistics-based analytics
> Practical and applied experience using application and network focused programming languages (Java, Groovy) to maintain application support
> Experience using relational databases or distributed file systems (i.e., SQL, Hadoop) and related tools (Hive, Impala, Spark/PySpark, Tableau)
> Analytical, critical thinking and decision-making skills utilizing data extraction
> Excellent written and verbal communication skills
> Detail oriented with the ability and desire to work in a team environment

Good to have:
> Previous experience in developing analytics that look for anomalous behavior in large data sets
> Experience in developing an understanding of large data sets coupled with an ability to use that data to answer questions posed by business owners
> Understanding of fraud and security issues within the banking and finance industry
> Experience with data analytics in the context of fraud investigation, Financial Services, payment processing, and/or similar fields

Morgan Stanley's goal is to build and maintain a workforce that is diverse in experience and background but uniform in reflecting our standards of integrity and excellence. Consequently, our recruiting efforts reflect our desire to attract and retain the best and brightest from all talent pools. We want to be the first choice for prospective employees.

It is the policy of the Firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, sex stereotype, gender, gender identity or expression, transgender, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy, veteran or military service status, genetic information, or any other characteristic protected by law.

Morgan Stanley is an equal opportunity employer committed to diversifying its workforce (M/F/Disability/Vet). #LI-SK1