Fraud Data Analyst (Fraud Analytics)

In the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities. This is a Cybersecurity Operations III position at Associate level, which is part of the job family responsible for monitoring, detecting, and responding to security incidents to ensure the organization's systems and data are protected from actual and potential threats or breaches.

Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world.

Technology and Operations Risk’s mission is to deliver first-line defenses to manage Cyber and Fraud risks to Morgan Stanley’s technology, operations and information through risk identification, control management and assurance. This allows the business to operate and grow in a secure and legally compliant manner. The team’s vision is to deliver programs that protect and enable the business, ensure secure delivery of services to clients, adjust to address the risks presented by an evolving threat landscape and meet regulatory expectations.

Role Description:

As part of the fraud detection strategy team, you will analyze data to uncover fraud trends, investigate suspicious activities and extract meaningful insights from diverse data sets. You will develop and communicate innovative solutions to effectively prevent and mitigate various types of fraud

Job Responsibilities/Profile

• Analyze transactional data to identify anomalies and out-of-pattern activities

• Develop solutions to address fraud trends by improving existing or designing new controls

• Identify and implement automation opportunities to streamline data collection, performance metrics, and loss calculation processes

• Design and implement rules within the rules engine, including pre/post - deployment testing to ensure operational effectiveness

• Collaborate cross-functionally with teams such as Customer Service, Product management, and Engineering to improve tools, data sources, system capabilities, and fraud detection techniques Partner with the Data Science team to develop fraud risk models

• Partner with Data Science team to design and implement fraud risk models

• Apply statistical methods to analyze data and generate actionable business insights

• Ability to provide business insights through dashboards and other data visualization tools to support decision-making

• Present trends, findings and proposed solutions to management and key stakeholders

Must have Skills:

• Strong data analysis and or coding in SQL, Python, Cognos, DataIku or other languages

• Ability to diagnose an issue, identify a root cause, summarize, present, drive resolution, and track results

• Excellent communication and writing skills

• Must be dynamic self-starter, able to work independently or as part of a team

• Possess a positive attitude

Desired Skills

• Fraud prevention or behavior analysis experience

• Working knowledge in card fraud, fraud monitoring tools and case management system is a plus.

• Familiarity with statistical data analysis and visualization tools (Tableau, SAS, Python, R, etc.)

• Experience with Fraud Engines not limited to Visa, MasterCard, Fiserv, FIS, FICO, ARCOT.

• Analytics skills with big data

• Experience working with Data Science and Product teams to support business

Qualifications:

Bachelor-s Degree or Master’s degree in (Data Analytics, Statistics, Mathematics, Information Systems, etc) or equivalent work experience in an area relevant to this position.

We have a track record of innovation and passion for unlocking new opportunities, we help our clients raise, manage and allocate capital. We do this by offering a wide range of investment banking, securities, wealth management and asset management services.

All that we do at Morgan Stanley is driven by our five core values: do the right thing, put clients first, lead with exceptional ideas, commit to diversity and inclusion, and give back. These aren’t just beliefs, they guide the decisions we make every day, ensuring we do what's best for our clients, communities and more than 80,000 employees around the world. And at the core of our success are the people who drive it - relentless collaborators and creative thinkers who are fueled by diverse thinking and experiences.

Wherever you are in our 1,200 global offices, you’ll have the opportunity to work alongside the best