Who we are
For over 230 years, Bank of New York Mellon (BNY Mellon) has been at the center of the global financial markets, providing the world’s leading institutions the tools, capabilities, and services to be distinctive investors. BNY Mellon has approximately $15 billion in revenues and market capitalization of approximately $50 billion.
BNY Mellon is a leader in the world of investment services and investment management, and our businesses support the full range of stakeholders of the financial system including:
Managing the custody of over $31 trillion financial assets of the world’s leading institutional investors, hedge funds, sovereign wealth funds, and corporates
Investing over $1.8 trillion as one of the largest global asset managers across a wide range of asset classes
Providing collateral, liquidity, and funding for the world’s largest banks through our markets franchise
Serving family offices and high net worth individuals in our top 10 wealth manager ($250 billion assets)
Providing a full suite of solutions to advisors, broker-dealers, family offices, hedge and '40 Act fund managers, registered investment advisor firms and wealth managers (over $1.8 trillion in client assets)
Advising large global corporations on a range of trust and other solutions
Providing integrated managed data services to asset managers (over $4.7 trillion)
In addition, BNY Mellon is a strategic partner to a variety of financial technology companies and a convener of influential industry and market structure forums.
What we are doing
BNY Mellon recently announced the launch of a newly formed global digital team, led by Roman Regelman, a former BCG partner who drove a number of large scale digital transformations for global financial services clients. The Digital team drives BNY Mellon’s core digitization strategy and is responsible for mapping our digital future, investing in digital client and internal capabilities, including data management, analytics, artificial intelligence, machine learning and robotics.
The Digital team focuses on maximizing investments in our digital capabilities to drive significant improvements in business performance and the client and employee experience. The team is accelerating the bank’s innovation strategy, developing more cross-functional integration and mining best practices to integrate across businesses, regions, front line relationship managers, innovation centers. We are currently looking to fill positions at our global headquarters in Tribeca, New York.
As a member of the Advanced Digital Solutions team, the primary focus and responsibilities will be to deliver tangible value and advance the digital agenda across the enterprise by accelerating effective use of AI. Main responsibilities will include:
Serving as results-oriented solutions engineer and AI solutions expert to address critical business needs in partnership with business teams, digital team members and technology. This includes designing and delivering proofs of concept as required.
Providing guidance on AI capabilities – available internally or in the marketplace – to determine best path forward factoring in feasibility, maturity of solutions, cost, time to market etc.
Driving the use of shared library / repository and model management of AI solutions across the enterprise
Driving / promoting best practices on effective use of AI solutions
Supporting lines of business and functions in developing AI capabilities to drive scale
Qualifications - External
Master’s degree or equivalent in a highly quantitative field such as Computer Science, Machine learning, Statistics, Mathematics, Engineering.
An AI practitioner with hands on experience in designing and deploying machine learning solutions and a strong data and ML engineering background.
Experience with Big Data architectures, Technology Engineering and Data Engineering
Experience with common data science tools & libraries, such as Python, NumPy, MatLab, etc.
Develop ML and statistical models for multiple business units.
Proficiency with Java or similar language and the Software Development Lifecycle
Able to work across businesses and functions at all levels
Proficiency in using query languages and databases
Excellent analytical and problem-solving skills
Able to deal well with uncertainty and unstructured problems to be solved
Able to function well as part of ad-hoc and structured teams for achieving goals within established time parameters
Experience with cloud machine learning tools.
Excellent interpersonal skills necessary to accomplish goals through others, including employees, peers, and other function/business areas of the company
Able to effectively communicate findings e.g. through dashboards, visualizations etc.
3+ years of experience in statistical and machine learning analysis and development.
Experience in the securities, financial services, or asset management industry a plus
Graduate degree from top universities a plus