Morgan Stanley
Fraud Analytics Developer - Cyber Security Associate
Morgan Stanley, Baltimore, Maryland, United States, 21276
Job Description - Fraud Analytics Developer - Cyber Security Associate (3260214)
Date: Oct 17, 2024
Location: Americas-United States of America-Maryland-Baltimore
Education Level: Bachelor's Degree
Employment Type: Full Time
Job Level: Associate
Company ProfileMorgan 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 & ResilienceThe 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.
TeamFraud Operations, under the Technology & Operations Risk division, plays a key role in supporting the Firm, delivering 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.
RoleData 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
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Date: Oct 17, 2024
Location: Americas-United States of America-Maryland-Baltimore
Education Level: Bachelor's Degree
Employment Type: Full Time
Job Level: Associate
Company ProfileMorgan 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 & ResilienceThe 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.
TeamFraud Operations, under the Technology & Operations Risk division, plays a key role in supporting the Firm, delivering 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.
RoleData 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
#J-18808-Ljbffr