Officer

Year    Mumbai, Maharashtra, India

Job Description


Intermediate Analyst – Process Improvement Team Location: Mumbai FRSS-Process Improvement (PI) is the execution and delivery arm of S&E&R pillar of FRSS The FRSS Process Improvement & Analytics Intmd. Analyst position will be responsible for using large data sets to find opportunities for process optimization and using models to test the effectiveness of different courses of action. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes. Another key role for this position is to have a broad understanding of Lean methodologies and lead business process reviews, identify process improvement opportunities and drive execution of reengineering in FRSS This position supports the Global FRSS Process Improvement organization, partnering with Process Improvement team and Function’s Leaders to identify and structure strategic process improvement programs and projects to drive full-scale process transformation and automation. Key responsibilities include but are not limited to:

  • Strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations.
  • Work with stakeholders throughout the organization to identify opportunities for leveraging data to drive business solutions.
  • Mine and analyze data from databases to drive optimization and improvement of product development, marketing techniques and business strategies.
  • Assess the effectiveness and accuracy of new data sources and data gathering techniques.
  • Develop custom data models and algorithms to apply to data sets.
  • Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes
  • Provides project reporting and oversight as appropriate
  • Partners with other Process Improvement team members as needed to execute programs
  • In addition to being able to work with and influence Senior Management, this will require a commitment to staying up to date with which technologies are best suited to different use-cases and to translate those into business cases
  • Develops and deliver program reporting and senior stakeholder presentations.
  • Responsible for defining & meeting project/Use Cases milestones, monitoring adherence to project scope, requirements and design documents in accordance with GFT guidelines
  • Partner with cross-functional technology and design teams to ensure consistent solution delivery
  • Reports status, issues and risks to Process leads on a regular basis
  • Complies with Citi's design and coding standards, policies and procedures
  • Attention to detail and ability to manage multiple priorities in fast-paced environment
  • As required, provide the required training session and give hand to hand support while executing Python and other automation projects
  • Strong problem solving and analysis skills
  • Communicate to all stakeholders on a timely basis and in a clear, succinct manner
Knowledge/Experience:
  • Bachelor’s or Master’s degree in Statistics / Computer Science or technology related fields with 6+ years of experience
  • Strong Experience in manipulating datasets and building statistical models
  • Strong problem-solving skills with an emphasis on process improvement / optimization.
  • Experience using statistical computer languages (Python, SQL, etc.) to manipulate data and draw insights from large data sets.
  • Experience working with and creating data architectures.
  • Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
  • Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications
  • Work experience with time spent applying Lean or Lean Six Sigma methodologies
  • Experience at working both independently and in a team-oriented, collaborative environment is essential.
  • Ability to translate business requirements into technical specifications.
  • Ability to influence and work effectively with Senior Managers and with large teams across countries, functions and businesses.
  • Understanding of the drivers of value, including the ability to size and prioritize large-scale initiatives across Businesses and Functions.
  • Strong communication skills and the ability to structure logical analysis in presentations.
  • An in-depth understanding of Excel and PowerPoint.
  • Highly motivated, organized and methodical
  • Must be able to quickly learn, understand, and apply new technologies.
Skills:
  • English +90%
  • Data Science experience – Advanced (Required)
  • Python – Intermediate level (Required)
  • Tableau – Intermediate level (Plus)
  • Lean Six Sigma experience (Plus)
  • MS Office – Advanced level (Plus).
- Job Family Group: Finance - Job Family: Financial Reporting - Time Type: Full time - Citi is an equal opportunity and affirmative action employer. Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Citigroup Inc. and its subsidiaries ("Citi”) invite all qualified interested applicants to apply for career opportunities. 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 the "EEO is the Law" poster. View the EEO is the Law Supplement. View the EEO Policy Statement. View the Pay Transparency Posting

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Job Detail

  • Job Id
    JD2905305
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Full Time
  • Salary:
    Not mentioned
  • Employment Status
    Permanent
  • Job Location
    Mumbai, Maharashtra, India
  • Education
    Not mentioned
  • Experience
    Year