Position:
Associate, Data Management & Quantitative Analysis I
Company:
BNY Mellon
Location:
Pune, Maharashtra, India / Chennai, Tamil Nadu, India
Job Type:
Full-time
Job Mode:
On-site
Job Requisition ID:
64805
Years of Experience:
0 to 2 years
Company Description:
BNY Mellon is a globally recognized financial services organization that plays a pivotal role in the financial ecosystem.
Established over 240 years ago, the company has a long history of working with businesses, institutions, and individuals to offer financial solutions that cater to their needs.
The organization manages a vast portion of the world’s investable assets, touching approximately 20% of global investments.
BNY Mellon serves over 90% of Fortune 100 companies and provides financial services to almost all of the top 100 banks worldwide.
With a workforce of over 10,000 employees, the company emphasizes innovation, financial security, and strategic growth.
The firm operates across multiple financial domains, including asset management, investment services, and risk management.
BNY Mellon is committed to fostering a diverse and inclusive workplace, ensuring equal opportunities for employees irrespective of gender, race, or disability.
The company’s primary goal is to support clients by ensuring seamless financial transactions and secure asset management.
Employees benefit from a strong work-life balance, inclusive employment policies, and a collaborative environment that supports career advancement.
As a leading financial institution, BNY Mellon continues to evolve, integrating cutting-edge technology and analytics to enhance its services and solutions.
Profile Overview:
This role involves working within the Data Management and Quantitative Analysis team, supporting financial data analysis and statistical modeling.
The Associate will handle both internal and external datasets, conducting analytical reviews to support investment strategies and risk assessment.
Under direct supervision, the candidate will work on statistical, financial, and econometric models that analyze asset performance, securities data, and derivative pricing.
The role involves running models, identifying anomalies, and taking corrective actions where necessary.
Responsibilities include generating standard and ad hoc reports that provide insights into risk exposure, investment performance, and financial trends.
The Associate will collaborate with senior quantitative analysts to support more complex data-driven initiatives.
A significant part of the role involves working with technology tools for data extraction, query development, and macro programming to facilitate analytics.
Employees in this role will gradually build knowledge of methodologies, assessment techniques, and risk evaluation frameworks.
The role emphasizes precision and quality assurance, ensuring that all reports and analyses meet company standards.
As part of a team-oriented environment, the Associate will contribute to broader financial analysis objectives that align with the company’s strategic goals.
Qualifications:
A bachelor’s degree in a relevant field such as Finance, Data Science, Mathematics, or Economics is required.
Candidates with an advanced degree in quantitative analysis will be given preference.
Experience in quantitative finance, data management, and financial technology is beneficial.
Proficiency in statistical modeling, financial analysis, and risk assessment is highly desirable.
Familiarity with programming languages such as Python, R, SQL, or VBA for data extraction and model building.
Ability to work with large datasets and conduct data-driven evaluations.
Strong analytical thinking and problem-solving skills.
Effective communication skills to interpret findings and draft reports.
A keen eye for detail to ensure accuracy and reliability of financial models and analysis.
The capacity to work independently while also collaborating with a team of financial professionals.
Additional Info:
The position offers an excellent opportunity for fresh graduates and early-career professionals to build expertise in financial analytics.
BNY Mellon fosters a supportive environment that encourages learning and professional development.
Employees will have access to mentorship programs, training sessions, and career advancement opportunities within the company.
The organization prioritizes employee well-being by offering flexible work arrangements, inclusive employment policies, and employee engagement initiatives.
BNY Mellon promotes workplace diversity and equal opportunity employment, ensuring that all employees are valued and empowered to grow.
The company adheres to a strong ethical framework, emphasizing integrity and transparency in financial services.
Candidates will benefit from exposure to a global financial ecosystem and high-impact projects that shape the financial industry.
The role is designed to offer hands-on experience with financial modeling, data analysis, and investment strategies.
Employees will be working with industry experts, gaining insights into financial trends and quantitative analysis methodologies.
The company’s commitment to innovation ensures that employees are exposed to the latest advancements in financial technology and analytics.
Please click here to apply.
Comments
Post a Comment
Please feel free to share your thoughts and discuss.