Fraud Operations SQL/Python Analytics - VP - Firmwide Operations

  • Competitive
  • Baltimore, MD, USA
  • Permanent, Full time
  • Morgan Stanley USA
  • 17 Apr 19

Fraud Operations SQL/Python Analytics - VP - Firmwide Operations

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.

Operations is one of the largest divisions in the firm and has diverse responsibilities, including correctly settling and recording millions of transactions per day, identifying and mitigating operational risk, developing strong client relationships and partnering with technology to realize the full potential of IT and e-solutions. Operations continually seeks ways to improve while actively supporting the development of new businesses, structures, and markets.

Firmwide Operations includes Fraud Operations, Shared Services and Banking Operations (SSBO), Operations Risk and Control, Global Project Group and Metrics, Branch Operations, and Divisional Management. Fraud Operations is a global organization responsible for assessing, mitigating, and preventing fraudulent activities across multiple product lines and services in order to protect the firm and our clients.

In an effort to protect our clients' assets, provide a safe and secure banking environment, and to minimize financial losses to the Firm from security risk, the Fraud Operations Team is tasked with monitoring and analyzing client activities in order to detect and curtail fraud. The Fraud Operations Team's primary responsibilities are the identification and mitigation of potentially fraudulent transactions and management of incidents related to them through a suite of detection tools and the expeditious investigation and resolution of fraud claims.

The global team is expanding and is seeking a leader with skills in business analytics and data science to help prevent fraud through descriptive and predictive analytics. The successful candidate should have a deep understanding of business analytics, statistical and predictive modeling concepts, machine-learning approaches, and clustering and classification techniques. The candidate should be able to solve complex analytical problems using quantitative approaches with a unique blend of analytical, mathematical and technical skills. The candidate should have experience building and managing complex analytic technical architectures, be passionate about asking and answering questions in large datasets, and able to communicate that passion to product managers and engineers.

Qualifications:

Responsibilities:
- Identify emerging fraud trends and recommend appropriate mitigation strategies
- Regularly assess performance including false positive rates and recommend revisions to balance fraud loss vs client disruption
- Query and mine large datasets to discover transaction patterns, examine financial data and filter for targeted information using descriptive and predictive analytic methodologies to identify trends
- Development and automation of various daily, weekly, monthly and ad hoc reports and dashboards utilized to drive decisions and measure success
- Ability to clearly communicate findings and recommendations based on analysis in written and oral formats
- Forge relationships across divisions, including Information Technology, Legal & Compliance, Operations, Credit, and Finance to assist in the implementation of fraud remediation initiatives
Skills Required:
- Degree in Statistics, Computer Science, Engineering, Mathematics, Finance, or related quantitative field or equivalent
- Accomplished in the use of SQL and statistical analysis environments
- Strong quantitative and problem solving skills; proficiency working with large datasets, data mining, statistical methods, numerical methods, algorithm design and implementation
- Strong verbal and written communication skills; ability to act as a bridge between several business areas
- Ability to analyze large, complex, multi-dimensional datasets with a variety of tools
- Ability to deal with ambiguity and define approaches to bring un-focused issues to resolution
- Strong communication and influencing skills
- Strong sense of ownership and accountability for work
- Ability to work in a team environment, build and maintain a network of contacts, and coordinate with a large number of stakeholders across the business and technology

Skills Desired:
- Experience in finance, banking, insurance or similar businesses
- Knowledge of fraud or financial crimes