Associate, Data Scientist

Overview

At BNY, our culture empowers you to grow and succeed. As a leading global financial services company at the center of the world's financial system we touch nearly 20% of the world's investible assets. Every day around the globe, our 50,000+ employees bring the power of their perspective to the table to create solutions with our clients that benefit businesses, communities and people everywhere.

We continue to be a leader in the industry, awarded as a top home for innovators and for creating an inclusive workplace. Through our unique ideas and talents, together we help make money work for the world. This is what #Life At BNY is all about.

We're seeking a future team member for the role of Associate, Data Scientist to join our Loans Enablement Platform team. This role is located in Singapore - Hybrid.

In this role, you'll make an impact in the following ways:

• Apply advanced machine learning and deep learning techniques to solve complex problems and generate insights from data.
• Develop, test, and deploy scalable and robust AI models and pipelines using various frameworks and tools.
• Collaborate with cross-functional teams of engineers, product managers, and domain experts to understand the business needs and deliver high-quality solutions.
• Collaborate with business domain experts to understand, define and refine ambiguous questions and propose hypotheses, testing plans and develop data solutions through good understanding of the data and business domain.
• Communicate the results and implications of the AI projects to both technical and non-technical stakeholders.
• Leverage different database systems to access and transform data to deliver business value to the end users.
• Stay updated with the latest research and trends in AI and related fields such as Large Language Model.
• Conduct business analysis and communicate with SMEs (Subject Matter Experts) to understand data and ensure business requirements are fully implemented.
• Monitors industry and marketplace technology practices and benchmarks related to banking industry and supporting the data strategy.
Grow and develop skills across the 3 domain specialties: data science, business analytics and data engineering.

To be successful in this role, we're seeking the following:

• Advanced degree in STEM engineering degrees, or equivalent work experience with experience preferred in related fields.
• Proficient in python and other similar programming languages.
• Strong knowledge of machine learning and deep learning concepts, algorithms, and best practices.
• Proficient in data analysis, manipulation, and visualization using python packages such as Pandas, Num Py, Scikit-learn, Matplotlib, or using Visualization tools such as Power BI, Thoughspot etc. is a plus.
• Experience in working with various data sources and formats, including structured and unstructured data sets.
• Proficient in data analysis by writing optimal SQL queries.
• Excellent communication, presentation, and teamwork skills.
• Ability to work independently and creatively in a fast-paced environment.
• Passion for learning new technologies and solving challenging problems.
• Knowledge of development processes/lifecycle management for large language models
• Knowledge and understanding for leveraging: Predictive Analytics, Automation, Anomaly Detection/Risk Management, and Generative AI (Gen AI)
• Experience in loans or financial services industry is a plus.

At BNY, our culture speaks for itself. Here's a few of our awards:

• America's Most Innovative Companies, Fortune, 2024
• World's Most Admired Companies, Fortune 2024
• Human Rights Campaign Foundation, Corporate Equality Index, 100% score, 2023-2024
• Best Places to Work for Disability Inclusion , Disability: IN - 100% score, 2023-2024
• "Most Just Companies", Just Capital and CNBC, 2024
• Dow Jones Sustainability Indices, Top performing company for Sustainability, 2024
• Bloomberg's Gender Equality Index (GEI), 2023

Our Benefits and Rewards:

BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life's journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter.

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.

Job ID 58209