Overview
Overview of the role :
Data Services team is a shared service team that provides key functional capabilities such as self-service reporting, self-service data analytics, risk analytics, operational reconciliation, and integration of core processes with deployed machine learning models. We are enhancing our team and looking for Data Scientists & Machine Learning Engineers to work with us as we transform our Clearance and Collateral Technology (CCT) group into a data driven organization. The Collateral & Clearance Technology group is responsible for building high-performance critical market platforms. The group designs, builds and supports the platform used for US Triparty Repo and Global Collateral Services solutions. This service has 85% of the US Triparty Repo business with $2.7trn of assets globally. This group supports the most critical client-facing services for BNY Mellon.
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In this role, the individual will work closely with Product and Business teams in analyzing business processes, requirements, workflows, client experience needs, user journeys and primarily data - gleaning information and insights with the goal of helping make business decisions. The team and the role are extremely data centric and therefore requires strong SQL and intermediate programming skills to g ather and analyze information and develop recommendations to address strategic business objectives that span multiple, global business and technology areas.
As a member of the team, you will create meaningful stories focused on deep insights, and will be fluent across various technologies and tools relevant for quantitative decision-making. You will be responsible for working with vast amounts of financial data to derive insights and make predictions about our clients and the markets in which they operate. Your primary focus will be in mining and preparing data, performing statistical analysis, implementing machine learning algorithms, and productionalizing your models to integrate with our existing systems & products. In addition to working with the rest of our technology team, you will work with our business team to derive and select use-cases best suited for machine learning solutions based on client demand and market inefficiencies.
Hybrid (3-days in Office/Week)
Skills and Qualifications
- Master's degree or PhD (Computer Science, Math, Physics, Engineering, Economics, Quantitative Finance).
- At least 5-10 years of relevant work experience in Quant Finance and Data Science with a capital markets focus.
- Proven track record of applying machine- and deep-learning frameworks to practical business challenges in capital markets.
- Thorough understanding of various statistical and machine learning algorithms.
- Excellent knowledge of capital markets, products and concepts with a focus on fixed income products, money markets, and quantitative methods.
- Fluency in Python, SQL, Git. Proficiency in deep learning frameworks like pytorch, tensorflow / keras, etc.
- Familiarity with Google Cloud ecosystem, Bloomberg ecosystem, QuantLib are a plus.
- Team player, innovator, out of the box thinker.
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.