Vice President - Data Analytics Scientist @ Morgan Stanley

Job Description

Vice President - Data Analytics - Cyber Data Risk & Resilience

Company Profile

Morgan 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.

Technology & Operations Risk

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.

Job Profile

The global team is expanding and is seeking a leader in business analytics and data scientist to help build out a team to solve data-driven problems to help prevent fraud. The successful candidate should have a deep understanding of business analytics, statistical and predictive modeling concepts, machine-learning approaches, and deep learning 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. Candidate should be passionate about asking and answering questions in large datasets, and able to communicate that passion to product managers and engineers.
The right candidate has (Responsibilities);
Query and mine large data sets to discover transaction patterns, examine financial data and filter for targeted information using traditional as well as predictive/advanced analytic methodologies to proactively identify fraud trends
> Preparation of various daily, weekly, monthly and ad hoc reports utilized to drive decisions and measure success
> Regularly assess strategy performance including false positive rates and recommend revisions to balance fraud loss vs client disruption
> Identify emerging fraud trends and recommend appropriate mitigation strategies
Ability to clearly communicate change recommendations based on data-driven analysis
> Prepare and document review findings in a concise, understandable manner for written communication to the appropriate parties
> Forge relationships across divisions, including Information Technology, Legal & Compliance, Operations, Credit, and Finance to assist in the implementation of fraud remediation initiatives

Skill Set

Primary skills
> Experienced professional with 10-15 years of experience with in-depth understanding of Machine Learning and Statistics.
> Advanced degree in Computer Science, Engineering, Mathematics, Statistics, Finance, or related quantitative field or equivalent
> Worked on large scale Anomaly Detection use cases. Practical knowledge of deep learning implementation in at least one of the domains Cyber, NLP, Image Processing
> Proficiency with R/Matlab /Python and libraries for machine learning such as scikit-learn, pandas, Keras, pyTorch
> Strong quantitative and problem solving skills; proficiency working with large datasets, data mining, statistical methods, numerical methods, algorithm design and implementation
> Experience in architecture, design and implementation of data intensive applications for practical use-cases
> Expertise in visualizing large datasets in an efficient manner
> Ability to work in fast paced and dynamic environment
> Good written and verbal communication skills
> Strong sense of ownership and accountability for work
Good to have skills
> Experience of Finance, Banking, Insurance or similar businesses a strong plus
> Knowledge of the financial crimes industry

Qualifications/Criterion

Bachelor s Degree
10 to 15 years of relevant experience

Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximise their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing and advancing individuals based on their skills and talents.

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Keyskills:   project management automation cost control delivery ltd environmental impact assessment data mining deep learning data analytics financial data problem solving document review computer science machine learning operational risk algorithm design wealth management commercial models anomaly detection investment banking