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Fraud Analytics Developer - Cyber Security Associate

Company: Morgan Stanley
Location: Baltimore
Posted on: June 13, 2021

Job Description:

Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services. The Firm's employees serve clients worldwide including corporations, governments and individuals from more than 1,200 offices in 43 countries.

As a market leader, the talent and passion of our people is critical to our success. Together, we share a common set of values rooted in integrity, excellence and strong team ethic. Morgan Stanley can provide a superior foundation for building a professional career - a place for people to learn, to achieve and grow. A philosophy that balances personal lifestyles, perspectives and needs is an important part of our culture.

Department Profile

The mission of the global Enterprise Technology & Risk (ETR) division is to provide a highly reliable and commercial technology platform, which supports the Firm's strategy, delivered by an innovative, world-class team of professionals. Technology & Operations Risk (TOR) is part of the ETR organization and manages operational and technology related risks on behalf of the Firm. TOR's mandate is to enable the Firm to manage its technology and data related risks through implementing proactive, comprehensive and consistent risk management practices across the Firm to protect the franchise while capturing business opportunities. The TOR team partners with the business by ensuring that Technology and Data understands how to manage escalate and monitor risk. The mission of the Fraud and Cyber Analytics (FCA) organization within TOR is to provide custom, cutting edge analytics that directly mitigate risk, quickly respond to ongoing world events, and provide measurable savings to the firm in reduced loss and risk.

Team Profile

Within FCA, the Fraud Analytics and Strategy Team (FAST) is the focal point for development of analytics and models that can accurately detect and predict fraudulent activities (ongoing or planned) and behaviors that indicate significant risk to the Firm and its clients. The team works directly with the Fraud Operations team to design and implement new capabilities as well as address day to day activities that reflect the always changing fraud landscapes that affect Morgan Stanley's clients and assets.

Morgan Stanley has a requirement for an Analyst/Developer skilled in understanding how the business works, how to understand large data sets that reflect the business of the Firm, and how to design and implement analytics to directly detect fraudulent transactions and behaviors. Morgan Stanley's state-of-the-art analytics team is charged with building expert detection and awareness analytics for fraudulent actors and activities that threaten the Firm's clients, assets, and reputation. Partnering with key stakeholders across Enterprise Technology & Risk and the Business Units.

Working as a developer, your passion for technology and thirst for innovation will help shape the future of Morgan Stanley's fraud analytic and detection capabilities. Every day you'll be teaming with customers of varying disciplines on cross-functional projects and ensuring that analytic solutions have maximum impact across the business. You'll collaborate with internal teams and business teams alike, creating strategically sound target state solutions that directly reduce risk to the firm. At the end of the day, your work will have tremendous and positive impact on the overall fraud detection and prevention posture of the firm in tight collaboration with teams across Morgan Stanley's global technology community.

Primary Responsibilities

This role requires a wide variety of strengths and capabilities. Applicants should expect to gain experience in many of these topic areas, but should have incoming experience in some of these areas, including:

* Design and implementation of analytics using very large data sets * Discovery of features and expected behaviors within large data sets * Conducting statistics-based analytic/machine learning development (outlier/anomaly detection, Bayesian modelling, ML) * Investigation and analysis of financial payment systems * Fraud analysis satisfying business and regulatory requirements * Strategic thinking and passion for understanding business strategy and business processes * Working collaboratively in teams and developing meaningful relationships to achieve common goals * Implementation of DevOps principles and Agile methodology * Documenting analytic logic and processes to produce reproducible research and analyses

Skills required (essential)

Practical and applied experience using statistical or general purpose programming languages (Python, R, Julia, SAS, etc) to implement statistics-based analytics / models

Practical and applied experience in SQL (Hive/Impala strongly preferred) scripting

Experience using relational databases or distributed file systems (ie; SQL, Hadoop) and related tools (ie; Hive, Impala, Spark/PySpark)

Positive attitude and enthusiasm to learn new technologies and expand professional skills

Excellent written and verbal communication skills

Experience working with end users to understand needs of the business and craft end-to-end solutions with full customer involvement throughout the development process

Awareness/interest in financial fraud activities and potential impacts

Skills desired

Experience with Splunk

Ability to work in and with a globally distributed team

Experience working with investigation teams and engineering teams

Experience with data analytics in the context of fraud investigation, Financial Services, payment processing, and/or similar fields

#06022021

Keywords: Morgan Stanley, Baltimore , Fraud Analytics Developer - Cyber Security Associate, Other , Baltimore, Maryland

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