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BNY Mellon

Specialist, Data Scientist

Pune, India


Specialist Data Scientist

Bring your ideas. Make history.
BNY Mellon offers an exciting array of future-forward careers at the intersection of business, finance, and technology. We are one of the world's top asset management and banking firms that manages trillions of dollars in assets, custody and/or administration. Known as the "bank of banks" - 97% of the world's top banks work with us as we lead and serve our customers into the new era of digital.

With over 238 years of rich history and industry firsts, BNY Mellon has been built upon our proven ability to evolve, lead, and drive new ideas at every turn. Today, we're approximately 50,000 employees across 35 countries with a culture that empowers you to grow, take risks, experiment and be yourself. This is what #LifeAtBNYMellon is all about.

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We're seeking a future team member for the role of Specialist Data Scientist to join our Asset Servicing Engineering team. This role is located in Pune, Maharashtra / Chennai, Tamil Nadu - HYBRID.

Role Overview:

We have an exciting opportunity for a talented Data Scientist to join our team. As data scientist within the CCAR Tech team, you will be working in a fast-paced environment to implement and provide execution support for our CCAR/CECL models and analytics platforms. You will gain a thorough understanding of CCAR/CECL risk models and related financial analytics, and use your skills and expertisefor implementing models, creating visual analytics presentation deck, and investigating and supporting financial results.

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.

Coordinate with different functional teams to implement models and coordinate coding, testing, implementation, and documentation of financial models.

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.

Develop presentation decks using visual analytics tools and techniques. (Jupyterhub/Python)

Apply data mining, data modelling and machine learning techniques to analyse 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, 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 - 4 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 Mellon, our inclusive culture speaks for itself. Here's a few of our awards:
  • Fortune World's Most Admired Companies & Top 20 for Diversity and Inclusion
  • Bloomberg's Gender Equality Index (GEI)
  • Human Rights Campaign Foundation, 100% score Corporate Equality Index
  • Best Places to Work for Disability Inclusion , Disability: IN - 100% score
  • 100 Best Workplaces for Innovators, Fast Company
  • CDP's Climate Change 'A List'
Our Benefits:

BNY Mellon 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 that can support you and your family through moments that matter. BNY Mellon 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:

Client-provided location(s): Pune, Maharashtra, India
Job ID: BNY_Mellon-39280
Employment Type: Other

Perks and Benefits

  • Health and Wellness

    • Health Insurance
    • Health Reimbursement Account
    • Dental Insurance
    • Vision Insurance
    • Life Insurance
    • Short-Term Disability
    • Long-Term Disability
    • FSA
    • HSA
    • HSA With Employer Contribution
  • Parental Benefits

    • Birth Parent or Maternity Leave
    • Non-Birth Parent or Paternity Leave
  • Work Flexibility

    • Flexible Work Hours
    • Remote Work Opportunities
  • Office Life and Perks

    • Commuter Benefits Program
  • Vacation and Time Off

    • Paid Vacation
    • Paid Holidays
    • Personal/Sick Days
    • Sabbatical
    • Leave of Absence
  • Financial and Retirement

    • 401(K)
    • 401(K) With Company Matching
    • Performance Bonus
  • Professional Development

    • Tuition Reimbursement
    • Promote From Within
    • Mentor Program
    • Shadowing Opportunities
    • Access to Online Courses
  • Diversity and Inclusion

    • Diversity, Equity, and Inclusion Program