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Citigroup
Citigroup

Global investment banking and financial services

Senior Business & Data Analyst -Vice President

RoleData Analytics
LevelExecutive
LocationPUNE, Mahārāshtra, India
WorkOn-site
TypeFull-time
Posted2 weeks ago
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This role is within enterprise data office and product solution team; focused on ensuring accurate, timely, and fit for purpose data for business, risk management and regulatory reporting requirements.

Engage with Markets, Risk, Finance, Tech, Client org, and Data Engineering Teams to gather requirements, understand application processing, identify gaps and design systematic solution for business needs.

Average day is highly collaborative, focusing on reaching out to application teams and users to understand Markets products processing in Regulatory Reporting data Flow. Document product data flows along with transformation /mapping/enrichments/logic within enterprise systems.

Key Responsibilities:

  • Understand Derivatives and SFT data flows within CITI
  • Data analysis for derivatives products and SFT across systems for target state adoption and resolution of data gaps/issues
  • Lead assessment of end-to-end data flows for all data elements used in Regulatory Reports
  • Document current and target states data mapping and produce gap assessment
  • Coordinate with the business for identifying critical data elements, defining standards and quality expectations, and prioritize remediation of data issues
  • Identify appropriate strategic source for critical data elements
  • Design and Implement data governance controls including data quality rules and data reconciliation
  • Design systematic solution for elimination of manual processes/adjustments and remediation of tactical solutions
  • Prepare detailed requirement specifications containing calculations, data transformations and aggregation logic
  • Perform functional testing and data validations

Skills & Qualification

  • 13+ years of combined experience in banking and financial services industry, information technology and/or data controls and governance.
  • Preferably Engineering Graduate with Post Graduation in Finance
  • Extensive experience in Capital Markets business and processes
  • Deep understanding of Derivative products (i.e., Equities, FX, IRS, Commodities etc.) Or SFT (Repo, Reverse Repo, Securities Lending and Borrowing)
  • Strong Data analysis skills using Excel, SQL, Python, Pyspark etc.
  • AI-Accelerated Data Analysis: Leverage AI-powered tools (e.g., AutoML, Python libraries) to clean, analyze, and visualize data from structured and unstructured sources
  • Well versed with Prompt Engineering & Automation utilizing Gen

AI and LLMs:

  • Experience with data management processes and tools and applications, including process mapping and lineage toolsets
  • Actively managed various aspects of data initiatives including analysis, planning, execution, and day-to-day production management
  • Ability to identify and solve problems throughout the product development process
  • Analytical thinking – ability to break down complex data structures and processes to identify issues and develop logical models that meet business needs.
  • Strong knowledge of structured/unstructured databases, data modeling, data management, rapid / iterative development methodologies and data governance tools
  • Strong understanding of data governance issues, policies, regulatory requirements, and industry information affecting the business environment
  • Demonstrated stakeholder management skills
  • Excellent communication skills – needs to be able to communicate with technical and non-technical stakeholders to gather requirement, express needs and develop clear documentation
  • Excellent presentation skills, business and technical writing, and verbal communication skills to support decision-making and actions
  • Excellent problem-solving and critical thinking skills to recognize and comprehend complex data flow and designs.
  • Self-motivated and able to dynamically determine priorities
  • Data visualization skills – can help in creating visual representation of data models and provide input to UX / UI team to help make it easier to communicate complex model relationships with stakeholders

Job Family Group:

Product Management and Development:

Job Family:

Product Development

Time Type:

Full time

Most Relevant Skills

Please see the requirements listed above.

Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.

If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.

View Citi’s EEO Policy Statement and the Know Your Rights poster.

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About Citigroup

Citigroup

Citigroup

Public

Citigroup Inc. or Citi is an American multinational investment bank and financial services company based in New York City. The company was formed in 1998 by the merger of Citicorp, the bank holding company for Citibank, and Travelers; Travelers was spun off from the company in 2002.

10,001+

Employees

New York City

Headquarters

$86B

Valuation

Reviews

10 reviews

3.7

10 reviews

Work-life balance

3.8

Compensation

2.5

Culture

4.0

Career

3.2

Management

3.5

65%

Recommend to a friend

Pros

Good work-life balance

Supportive management and colleagues

Good benefits

Cons

Low or uncompetitive salary/pay

Long hours during peak times

Poor management and lack of direction

Salary Ranges

48 data points

Mid/L4

Senior/L5

Staff/L6

Mid/L4 · Business Analytics Senior Analyst

3 reports

$117,000

total per year

Base

$120,800

Stock

-

Bonus

-

$117,000

$117,000

Interview experience

3 interviews

Difficulty

3.3

/ 5

Duration

14-28 weeks

Experience

Positive 0%

Neutral 33%

Negative 67%

Interview process

1

Application Review

2

Recruiter Screen

3

Technical Interview

4

Panel/Group Interview

5

Final Round

6

Offer

Common questions

Technical Knowledge

Coding/Algorithm

Behavioral/STAR

Past Experience

Culture Fit