For over 235 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 $16.5 billion in revenues and a 23% return on tangible common equity.
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 approximately $37 trillion financial assets of the world's leading institutional investors, hedge funds, sovereign wealth funds, and corporates
Investing approximately $2 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 through our wealth management franchise
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
Advising large global corporations on a range of trust and other solutions
Providing integrated managed data services to asset managers
What We Do:
Execution Services - Capital Markets
Execution Services is a trading organization providing execution and other trading services to internal asset management clients, with more than $650B in AUM. We are looking to externalize this offering by building an Outsourced Trading business to support external clients. The Technology team works closely with the Execution Services trading and quant research teams to develop industry-leading trading technology as we continue to evolve our business, infrastructure, and processes.
This is an opportunity for an experience Full-Stack Developer to get involved from the ground-up, as we design, architect, and build a state-of-the-art platform to empower extensive reporting capabilities, research, and real-time analytics, in support of our new global, multi-asset trading organization.
Play a key role in the design, architecture, and implementation of:
Trading research platform
Real-time decision support service
Reporting platform and service
Build a historical and real-time data management platform for a global, multi-asset trading organization.
Design and architect API-driven solutions, utilizing open-source resources.
Design and develop quant libraries for research and production.
Create back testing and simulation tools, for development and testing of execution tactics, creation of trading signals, studies of PM and trader behavior.
Implement a system of data quality checks.
Put into production trading signals, analytics and decision support tools created through the quant research process.
Implement workflow tools and automation to mitigate risks associated with trade execution.
Programming well-designed, testable, secure, and efficient code.
Bachelor's degree in computer science, engineering, statistics or related discipline OR equivalent work experience is required.
Seven to Nine (7-9) years of experience in software development is required.
Proficient in Python coding. Experience in Java or C++ is a plus.
Experience with Equities, Derivatives, Futures, FX, and/or Fixed Income trading, analytics, and reporting.
Experience in the securities or financial services industry is a plus. Job holder must have understanding interdependencies and business impact of future IT plans.
S/he must have prior lead experience selecting and implementing vendor-specific methodologies and prior consulting experience with structured methodologies.
Job holder must have broad experience with multi-platform development tools and toolkits..
Broad experience with front-end and server-side, multi-platform development tools and toolkits, especially open-source software.
Located in New York, NY or Boston, MA preferred.
Understanding of financial engineering and mathematical finance concepts.
Deep knowledge of time series database technologies and data optimization and visualization
Experience in PostgreSQL, Redis and other DB solutions.
Experience building ETL data pipelines.
Deep understanding of REST, gRPC and other API-related frameworks, concepts, and tools.
Experience market data API's, such as Bloomberg Market Data Feed (BPIPE).
Containerization frameworks experience, such as Docker.
Automation frameworks experience, such as Airflow.
Knowledge of agile development methodologies, coding best practices, and ITID change management standards.
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.