Hiring.Camp

Detection Strategist - Director

Ms

·

Today

Salary
$150k+
Location
Thames Street Wharf, United States of America
Type
Full-time
Seniority
Director
Experience
4+ years
Source
Workday

Description

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 Lead Cyber Security Operations position at the Director 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.


Morgan Stanley

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


As a Detection Strategist on the Fraud team, you will be part of a dynamic team using data and analytics to root out bad actors to protect our clients and the Firm. You will identify fraud trends, investigate suspicious behavior and identify significant insights from different sets of data. You will develop and communicate creative solutions to combat different types of fraud

What you'll do in the role:


  • Use data to detect out of pattern transactional or behavioral activity
  • Responsible for combining internal data with external intelligence to detect fraud as early in the fraud lifecycle
    as possible
  • Identify solutions to fraud trends by improving existing or creating new controls
  • Create effective solutions in improving efficiency using different analytical techniques and forecasting
  • Create fraud detection rules and conduct pre and post production testing to ensure effectiveness
  • Partner cross-functionally with groups such as Customer Service, Product Management, and Engineering/Technology to enhance tools, data sources, system functionalities, and fraud
    detection methods
  • Partner with the Data Science team to develop fraud risk models
  • Work closely with Fraud Operations to manage rule strategies to people capacity
  • Use statistical methods to analyze data and generate useful business reports
  • Communicate trends, findings, proposals/solutions to Management and Stakeholders
  • Measure performance using appropriate tools and techniques
  • Generate suspicious activity reports and risk management reports for Management
  • Recommend or introduce new tools used for fraud detection, prevention and reporting activities
  • Perform other related duties as assigned

What you'll bring to the role:


  • 4+ years experience in fraud detection strategies, preferably focused on non-card channels
  • 4+ years practical and applied experience using
  • QL/Python/Pyspark/Snowpark to implement statistics-based analytics
  • 4+ years conducting analytics work within financial services
  • Experience using relational databases or distributed file systems (i.e., SQL, Hadoop, Snowflake) and related tools (Hive, Impala, Spark/PySpark, Tableau)
  • Experience working with a globally distributed team
  • 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

WHAT YOU CAN EXPECT FROM MORGAN STANLEY:

At Morgan Stanley, we raise, manage and allocate capital for our clients – helping them reach their goals. We do it in a way that’s differentiated – and we’ve done that for 90 years.  Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work.

To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices​ into your browser.

Salary range for the position: $85,000 and $150,000 per year. The successful candidate may be eligible for an annual discretionary incentive compensation award. The successful candidate may be eligible to participate in the relevant business unit’s incentive compensation plan, which also may include a discretionary bonus component. Morgan Stanley offers a full spectrum of benefits, including Medical, Prescription Drug, Dental, Vision, Health Savings Account, Dependent Day Care Savings Account, Life Insurance, Disability and Other Insurance Plans, Paid Time Off (including Sick Leave consistent with state and local law, Parental Leave and 20 Vacation Days annually), 10 Paid Holidays, 401(k), and Short/Long Term Disability, in addition to other special perks reserved for our employees. Please visit mybenefits.morganstanley.com to learn more about our benefit offerings.

Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background.  Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents.

Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences.

For more information, please visit: https://www.morganstanley.com/people-opportunities/eeo.

Skills

PythonSQLSparkHadoopSnowflakeData ScienceTableauRisk ManagementCustomer Service