Job Description

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. We\'re seeking a future team member for the role of Lead Manager, Data Management & Quantitative Analysis to join our Markets Analytics team. This role is located in PUNE - HYBRID Mode. Over View about Division : The Markets Analytics team at Bank of New York Mellon is looking to expand its presence in India to support its activities in data management, business analytics, performance reporting, and research. We are looking for coders who have experience working with real world data and are comfortable with statistical analyses. We seek motivated self-starters and team players who are eager to collaborate, learn new things, and go the extra mile for our internal and external clients. In this role, you\'ll make an impact in the following ways: Management of the offshore India team Lead partner facing off with Markets Tech Managing BoW and prioritization of offshore team to accelerate and deliver iFlow product roadmap Providing oversight and guidanceon data staging, requirements gathering, data cleansing, data enrichment, data models etc. Oversight and contribution to Q&A Contribution to new product builds To be successful in this role, we\'re seeking the following: a bachelor\'s degree in a quantitative field (finance, data science, business information systems, computer science, physical sciences, mathematics, statistics) 7 to 14 years of experience in financial services is preferred practical experience with data analysis and applied statistics knowledge of data cleansing / enrichment / modeling techniques the ability to implement data quality control, validation, and linkage experience producing clear graphical representations and data visualizations the ability communicate results clearly to a variety of stakeholders with fluency in English Technology experience SQL Python Tableau Excel 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) , Disability: IN - 100% score 100 Best Workplaces for Innovators, Fast Company Human Rights Campaign Foundation, 100% score Corporate Equality Index 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. 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.

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