BNY is hiring for an FRESHER entry level Associate Data Analyst I role in India

Position:

Associate Data Analyst (Data Management & Quantitative Analysis I)

Company:

BNY

Location:

Pune, Maharashtra, India

Job type:

Full Time

Job mode:

Onsite

Job requisition id:

74350

Years of experience:

0 to 2 Years

Company Description

About the Organization

• BNY is one of the leading financial services organizations operating at a global scale, supporting institutions, businesses, governments, and investors across different regions of the world.
• The company plays a major role in the global financial ecosystem and is involved in handling a significant share of worldwide investable assets through its financial products, solutions, and technology driven services.
• BNY focuses on combining financial expertise with advanced technologies such as artificial intelligence, automation, analytics, and digital transformation to create efficient and scalable solutions for clients.
• The organization is known for building a collaborative workplace culture where employees are encouraged to contribute ideas, innovate, and continuously learn new technologies and business concepts.
• Teams at BNY work across several areas including investment services, risk management, operations, quantitative analysis, data management, financial technology, and client servicing.
• The company supports employees through professional development opportunities, structured learning programs, mentorship initiatives, and exposure to global projects.
• BNY promotes an inclusive and growth oriented environment where employees from different backgrounds can build long term careers and contribute to impactful financial operations.
• Employees are encouraged to work with modern analytical tools, automation systems, financial datasets, and emerging technologies that support innovation within the organization.
• The organization has been recognized through several industry awards for innovation, corporate culture, workplace excellence, and leadership within the financial services industry.
• BNY continues to invest heavily in technology modernization and data driven decision making to strengthen its position as a future focused financial institution.
• The company values accuracy, accountability, collaboration, ethical practices, and continuous improvement across all business functions.
• Employees at BNY receive access to benefits, wellbeing initiatives, flexible support systems, paid leaves, and growth opportunities that help maintain work life balance and long term career development.
• The organization also emphasizes equal opportunity employment and encourages applications from diverse communities and backgrounds.
• Working at BNY provides exposure to global financial markets, enterprise scale systems, data intensive operations, and real world business challenges that can help early career professionals build strong industry experience.

Profile Overview

About the Role

• The Associate, Data Management & Quantitative Analysis I role is designed for candidates who are interested in beginning their professional journey within the fields of data analytics, quantitative analysis, and financial technology.
• This opportunity is suitable for fresh graduates and early career professionals who want to gain hands on exposure to financial datasets, analytical processes, quantitative models, and enterprise data systems.
• The selected candidate will work with internal and external datasets to support analytical projects related to asset performance, securities analysis, derivative pricing, risk assessment, and other financial concepts.
• The role involves collaborating with different teams to collect, organize, validate, and analyze large volumes of structured and unstructured data used in business decision making.
• Candidates will support senior quantitative professionals by performing data management tasks, running predefined models, reviewing outputs, identifying anomalies, and contributing to reporting activities.
• Employees in this position will also learn how financial institutions use statistical analysis, quantitative methods, and technology tools to support operational and strategic objectives.
• The role provides practical exposure to reporting frameworks, analytical workflows, data extraction methods, and financial analysis practices used within large scale enterprise environments.
• Candidates may work with spreadsheets, databases, querying tools, macros, reporting systems, and automation technologies while handling analytical assignments.
• The position requires strong attention to detail because maintaining accuracy and quality in reports, datasets, and analytical outputs is a major responsibility.
• Team members are expected to identify inconsistencies in datasets or model outputs and take corrective actions under the guidance of experienced professionals.
• The role also provides opportunities to build foundational knowledge in quantitative finance, statistical analysis, and financial data interpretation.
• Employees will interact with professionals across different departments and may contribute to projects involving operations, analytics, technology, and financial research.
• Candidates joining this role can strengthen their understanding of data handling practices, analytical thinking, and business problem solving in a corporate environment.
• The position is ideal for individuals who enjoy working with numbers, analyzing trends, interpreting data patterns, and supporting data driven business decisions.
• BNY offers a professional environment where freshers can learn industry practices, improve technical capabilities, and build a stable career within financial analytics and quantitative operations.

Key Responsibilities

Core Duties and Responsibilities

• Work with internal business datasets and external client reference datasets to support analytical and quantitative initiatives.
• Assist in the preparation of standard reports, customized reports, and ad hoc analytical documents for different business functions.
• Support the development and execution of statistical, financial, and quantitative models under supervision.
• Analyze financial information related to asset performance, securities, derivatives, and market related datasets.
• Review datasets for inconsistencies, missing information, and quality issues before analytical processing.
• Perform basic quantitative analysis activities and support senior analysts with operational and reporting tasks.
• Run predefined analytical models and review outputs for potential errors or exceptions.
• Identify discrepancies within analytical results and escalate or correct issues when required.
• Use technology tools and querying techniques to extract, organize, and prepare datasets for analytical purposes.
• Support data management processes by ensuring data integrity, consistency, and accuracy.
• Participate in reporting activities and contribute to analytical documentation.
• Build understanding of financial products, risk concepts, and quantitative analysis techniques through day to day assignments.
• Work collaboratively with internal teams and stakeholders to complete assigned deliverables within timelines.
• Maintain quality standards while handling sensitive business and financial data.
• Learn and adapt to internal analytical systems, enterprise platforms, and reporting technologies used within the organization.

Qualifications

Educational and Professional Requirements

• Candidates should possess a Bachelor’s degree or an equivalent educational qualification from a recognized institution.
• Applicants from quantitative disciplines such as Mathematics, Statistics, Economics, Finance, Data Analytics, Computer Science, Engineering, or related fields may be preferred.
• Candidates with an advanced degree or additional academic exposure in quantitative analysis or finance may receive added consideration during the evaluation process.
• Freshers and early career professionals with up to 2 years of relevant experience are eligible to apply for this opportunity.
• Basic understanding of quantitative analysis, statistics, financial concepts, or analytical problem solving will be beneficial for this role.
• Knowledge of data analysis techniques and structured analytical approaches can help candidates perform effectively in day to day responsibilities.
• Familiarity with spreadsheets, data querying methods, reporting tools, or database concepts may provide an additional advantage.
• Candidates should possess strong analytical thinking abilities and the capability to interpret data accurately.
• Attention to detail is important because the role requires maintaining high standards of data quality and reporting accuracy.
• Applicants should demonstrate the ability to learn quickly and adapt to new tools, technologies, and analytical processes.
• Good communication and collaboration skills are important for working effectively within cross functional teams.
• Candidates should have the ability to manage multiple tasks and complete assignments within defined timelines.
• Understanding of quantitative finance, financial analytics, or technology driven financial processes may be considered a plus.
• Individuals who are curious, proactive, and interested in solving analytical problems are likely to perform well in this role.
• Candidates should be comfortable working with data intensive tasks and interpreting numerical information in a structured manner.

Skills Preferred

Technical and Professional Skills

• Data Analysis
• Quantitative Analysis
• Financial Reporting
• Statistical Analysis
• Analytical Thinking
• Data Management
• Spreadsheet Handling
• Querying Techniques
• Problem Solving
• Accuracy and Attention to Detail
• Reporting and Documentation
• Financial Data Interpretation
• Risk Analysis Fundamentals
• Team Collaboration
• Time Management
• Communication Skills
• Data Validation
• Model Execution Support
• Process Improvement
• Adaptability and Learning Agility

Additional Info

Benefits, Work Environment, and Career Growth

• BNY provides employees with a professional environment focused on innovation, collaboration, and career growth.
• The company encourages employees to explore new ideas, improve processes, and contribute to technology driven transformation initiatives.
• Employees receive exposure to large scale global operations and enterprise level financial systems.
• The organization supports learning and professional development through training programs, mentorship, and practical project experience.
• Team members gain opportunities to work alongside experienced professionals within the fields of finance, analytics, operations, and technology.
• BNY promotes a culture where employee wellbeing and long term development are considered important organizational priorities.
• Employees may receive access to healthcare benefits, wellbeing programs, flexible support resources, and paid leave benefits depending on company policies.
• The organization values diversity, equal opportunity, and inclusive hiring practices across teams and departments.
• Freshers joining this role can build foundational industry experience in quantitative analysis, financial data management, and enterprise analytics.
• The position can open pathways toward future opportunities in financial analytics, risk analysis, business intelligence, quantitative modeling, and data science related domains.
• Employees are encouraged to maintain high standards of ethics, professionalism, and accountability while handling business operations and client related information.
• Working within a global financial institution allows candidates to understand real world financial systems, operational processes, and analytical decision making practices.
• Candidates can strengthen both technical and business communication skills while collaborating with multiple stakeholders.
• Exposure to advanced analytical tools and enterprise technologies can help employees build strong long term career capabilities.
• This role provides an excellent starting point for fresh graduates who want to enter the analytics and quantitative finance domain within a globally recognized organization.

Please click here to apply.