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Senior Associate, Data Management & Quantitative Analysis

Senior Associate, Data Management & Quantitative Analysis
Company:

Bnymellon


Details of the offer

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#LifeAtBNYMellonis all about. We're seeking a future team member for the role of Sr Associate- Data management and Quantitative Analysis to join our Investment Management team. This role is located in Pune, Maharashtra - HYBRID.In this role, you'll make an impact in the following ways: BNY Mellon Asset Management is a multi-boutique model.  Data Analytics & Business Intelligence team is at the center where it provides Investment Risk, Liquidity Risk, Performance Attribution, Investment Due Diligence, and Data analytics to various groups including executive committee, MRG, ISSG and Seed Capital Committee. The Investment Risk Analyst will use investment analytical tools to identify performance and risk drivers, monitor and report portfolio risk exposures, and assess the process and qualities of portfolio managers. The Risk analyst is expected to work collaboratively with other team members both at onshore and offshore locations and achieve the highest level of risk and performance attribution reporting quality and produce daily, weekly, monthly and quarterly risk and performance reports required by Investment Management Senior Executives, investment affiliates, distributions, and others. The incumbent need to have understanding on investment risk analytics and performance attribution. The candidate must be detail oriented, hardworking, collaborative, a strong communicator with excellent written and verbal abilities, and have spent at least 4 years in the financial industry working on investment risk, performance attribution, and/or manager research with quantitative techniques. S/He will be a self-starter, ability to multi-task, have good communication and excellent written skills, have the ability to facilitate change, and work extra hours during the peak workload periods around the month-ends and project deadlines. Must be able to handle a day-to-day sensitivity to areas of risk, potential errors and follow through on remediation and support of solutions with the highest level of attention and detail. He or she should be self-motivated and organized and have working knowledge of Microsoft Word, Excel, Powerpoint, Morningstar, Factset or Bloomberg, and any risk platform like Aladdin, Barra, BarraOne, Bloomberg Port, Axioma, etc. Additionally, the incumbent must have an understanding of databases and a working knowledge of SQL and Excel VBA. Python programming background is mandatory. Manager research writing / investment due diligence skills are good to have. FRM certification is good to have.To be successful in this role, we're seeking the following: Technical Knowledge: The candidate should be a Python expert with Data Engineering capabilities. The candidate should be able to demonstrate their work on real world projects.Mandatory Skills: Python, SQL.Python libraries: Pandas, NumPy, Matplotlib, Plotly, Good to have: Dataiku or any other similar tools.                              (60%)Produce ex-ante/ex-post risk, performance attribution, and peer comparison for funds under various asset classes using fund holdings/ returns data. Review manager performance and risk vs. peers and vs. investment mandates. Assess liquidity risk. Interpret data and provide performance and risk analysis to the senior management.(40%)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 IndexBest Places to Work for Disability Inclusion , Disability: IN – 100% score 100 Best Workplaces for Innovators, Fast CompanyCDP'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.


Source: Eightfold_Ai

Job Function:

Requirements

Senior Associate, Data Management & Quantitative Analysis
Company:

Bnymellon


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