Senior Associate, Data Scientist

Overview

Overview

Senior Associate, Data Scientist
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 #LifeAtBNY is all about.

We’re seeking a future team member for the role of Senior Associate, Data Scientist to join our Corp Tech team. This role is located in Pune – HYBRID.

In this role, you’ll make an impact in the following ways:
Collaborate with stakeholders throughout the organization to develop project plans of delivering objects and timelines of model development and implementation.
Develop risk models in Python/R used by risk teams for regulatory stress testing submission and company risk management. Design and build the execution workflow of models to forecast Balance Sheet, Fee Revenues, Macroeconomic Factors, Expense and calculate risk metrics under various stress scenarios, sensitivity & attribution analysis.
Develop processes and tools to monitor and analyze model performance to ensure the expected application performance levels are achieved. Also, apply various statistical and analytical tests for validating models and results.
Coordinate with different functional teams to implement models and coordinate coding, testing, implementation and documentation of financial models.
Develop presentation decks using visual analytics tools and techniques. (JupyterHub/Python)
Apply data mining, data modelling and machine learning techniques to analyze large financial datasets and enhance the model performance.

To be successful in this role, we’re seeking the following:
Bachelor/Master/PhD's Degree in a quantitative field (computer science, financial engineering, mathematics, data science or engineering)
Experience using one or more programming languages (Python, R, C++, Java, Matlab, etc.) and manipulating data using SQL and Pandas
Excellent written and verbal communication skills for coordination across teams
Understanding of design, development and implementation of mathematical, financial risk and ML models
2 - 5 years of experience in a related field based on education level
Nice to have knowledge of advanced statistical techniques and concepts (regression, time series analysis, statistical tests, etc.)

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.

BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans.

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.