Principal, Data Scientist

Overview

Team Description; Role function on team:

This is a unique opportunity to get a founding member status in a newly formed Financial Crimes Risk -oriented Data Science and Decision Support Group. This is a multi-disciplinary team that will transform the way information flows to decision-makers at BNY Mellon. The Data Scientist will help build an Augmented Intelligence platform for risk probabilities across a series of key indicating metrics. We want to use classification and anomaly detection techniques to perform statistical, econometric, and drill-down analysis underpinned by machine-learning models. This role will require a strong background in high-level computing languages, unstructured data sets, and statistics.

Responsibilities - External

• Designs and creates highly complex logical/physical data models, and data dictionaries that cater to the specific business and functional requirements.
• Consults with businesses to identify needs and translates those needs into solutions through machine learning . Develops comprehensive data/technical specifications that bridge business/product needs with system design/deliverables.
• Performs drift analysis and hyperparameter tunings.
• Consults with client areas and provides solutions in resolving issues during the translation to a data model design. Provides knowledge and expertise of enterprise data to assist the business in the creation and definition of internal and external message flows.
• Provides knowledge and expertise in existing machine learning environments and makes recommendations for opportunities to share data and/or reduce data redundancy. Analyzes market trends for data modeling tools and metadata management software.

Qualifications:

• Degree in computer science, statistics or similar - PhD and graduate degrees are highly preferred
• Minimum of 4 + years' experience in research and data science roles
• We would like a well-rounded knowledge base (having many, but not all) of the following technological skills:
  • Coding skills in Python, R, C++ or Java
  • Understanding of REST, gRPC and other API-related frameworks, concepts and tools
  • Data science workbenches such as Dataiku, Cloudera, H2Oai, Datadog
  • PostgreSQL, Redis and other DB solutions
• Exposure to and comfort with high performance, low latency computing systems
• Handling real-time transactional data feeds across asset classes and regions
• Deep knowledge of time series database technologies
• Expertise in ML and optimization technologies
• Deep understanding of financial engineering and mathematical finance concepts
• Great presentation skills - be able to present research findings to a wide range of audiences
• Collegial and collaborative disposition - team player!

Employer Description:

For over 230 years, the people of BNY Mellon have been at the forefront of finance, expanding the financial markets while supporting investors throughout the investment lifecycle. BNY Mellon can act as a single point of contact for clients looking to create, trade, hold, manage, service, distribute or restructure investments and safeguards nearly one-fifth of the world's financial assets. BNY Mellon remains one of the safest, most trusted and admired companies. Every day our employees make their mark by helping clients better manage and service their financial assets around the world. Whether providing financial services for institutions, corporations or individual investors, clients count on the people of BNY Mellon across time zones and in 35 countries and more than 100 markets. It's the collective ambition, innovative thinking and exceptionally focused client service paired with a commitment to doing what is right that continues to set us apart. Make your mark: bnymellon.com/careers.

EEO Statement:

BNY Mellon is an Equal Employment Opportunity/Affirmative Action Employer. Minorities/Females/Individuals With Disabilities/Protected Veterans. Our ambition is to build the best global team - one that is representative and inclusive of the diverse talent, clients and communities we work with and serve - and to empower our team to do their best work. We support wellbeing and a balanced life, and offer a range of family-friendly, inclusive employment policies and employee forums.