Specialist, Data Management & Quantitative Analysis | BNY (26M583)

FreshieHire Author
Salary
Not Disclosed
Location
Pune

Highlights

Opportunities to work on advanced projects, collaborate with innovative teams, and contribute to the future of financial analysis.


Description

Job Summary

pBNY is seeking a Specialist in Data Management & Quantitative Analysis to join our team in Chennai or Pune. As a key member of the data analytics department, you will work with diverse datasets and client reference information to develop sophisticated models for financial analysis. This role offers opportunities to collaborate on cutting-edge projects and contribute to transformative solutions within the finance industry.

Responsibilities

  • Work with internal and external datasets to provide analytical support in developing statistical, financial, and econometric models.
  • Prepare standard and ad hoc reports for assigned areas of focus.
  • Support data management activities under general guidance.
  • Run models, identify exceptions, and take corrective action.

Required Skills

  • Data Analysis
  • Econometric Modeling
  • Statistical Reporting
  • Technology Tools Proficiency
  • Client Reference Data Management

Required Skills Explained

  • Strong analytical skills with attention to accuracy and quality of work.
  • Experience in quantitative finance and technology is preferred.
  • Ability to work with internal and external datasets and client reference data.
  • Proficiency in running models, identifying exceptions, and taking corrective actions.
  • Knowledge of technology tools used for data management and analysis, including querying and macro development.

Who is this for

pThis role is ideal for individuals with a strong analytical background and an interest in quantitative finance. You should have experience working with data management systems and developing statistical models.

Why This Job is a Good Opportunity

ulliJoin a leading global financial services company at the heart of the global financial system.liWork with cutting-edge AI and breakthrough technologies to drive transformative solutions.liBe part of a culture that values innovation, advanced technology, and exceptional talent.liAccess to competitive compensation, benefits, and wellbeing programs.liPotential for career growth in a dynamic and fast-paced environment.

Interview Preparation Tips

  • Review the job description thoroughly and prepare examples of how your skills match the requirements.
  • Familiarize yourself with industry trends and recent news related to data management and quantitative analysis.
  • PRACTICE common interview questions, focusing on your analytical skills and experience in quantitative finance.
  • Bring a portfolio or samples that demonstrate your work in data analysis and model development.

Career Growth in This Role

pThis role provides a strong foundation for those interested in advancing their career in data management and quantitative analysis. You will have the opportunity to develop expertise in cutting-edge technologies, collaborate with top talent, and contribute to transformative projects that redefine industries. Over time, you may take on more senior roles or explore opportunities in related fields such as risk management or financial modeling.

pBNY’s culture of innovation and growth offers numerous avenues for career development, making this position a great stepping stone for your professional journey.

Explore More Opportunities

Skills

Frequently Asked Questions

What kind of datasets will I be working with?

You will work with internal and external datasets including client reference data to develop financial models.

Is this role suitable for beginners?

While experience is preferred, the role offers opportunities for growth and learning within a supportive environment.

What kind of technology tools will I be using?

You will use advanced querying and macro development tools to extract data for model population.

About the Author

FreshieHire Author
Hi, this is KD. On my blogs, you will find the best jobs for freshers all at one place. We curate jobs for you from various sources and combine them all at one place. Hope you got some value. : )
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