Digital PM Analyst

CitiNew York, NY
Onsite

About The Position

The Digital PM Analyst is a seasoned professional role. Applies in-depth disciplinary knowledge, contributing to the development of new techniques and the improvement of processes and work-flow for the area or function. Integrates subject matter and industry expertise within a defined area. Requires in-depth understanding of how areas collectively integrate within the sub-function as well as coordinate and contribute to the objectives of the function and overall business. Evaluates moderately complex and variable issues with substantial potential impact, where development of an approach/taking of an action involves weighing various alternatives and balancing potentially conflicting situations using multiple sources of information. Requires good analytical skills in order to filter, prioritize and validate potentially complex and dynamic material from multiple sources. Strong communication and diplomacy skills are required. Regularly assumes informal/formal leadership role within teams. Involved in coaching and training of new recruits. Significant impact in terms of project size, geography, etc. by influencing decisions through advice, counsel and/or facilitating services to others in area of specialization. Work and performance of all teams in the area are directly affected by the performance of the individual. Are you looking for a career move that will put you at the heart of a global financial institution? Then bring your skills in analytics, problem solving and communication to Citi’s Market Intelligence team. By Joining Citi, you will become part of a global organisation whose mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. Team/Role Overview The Markets Intelligence team focuses on developing commercial insights from internal & external data sets, deploying data science capabilities across Markets. We focus on Projects founded in novel ideas or existing manual processes, which we can scale and/or automate by using Data and Machine Learning/NLP/LLM. This role has a Global footprint and will have significant impact in terms of influencing decisions through advice, counsel and/or facilitating services to others across the broader Markets organization. This position requires collaboration with various teams within Markets to align, coordinate, challenge and implement results with components of the data intelligence and analytics framework. What you’ll do This role will require utilizing next gen data science techniques for practical business applications, including model development using Machine Learning and Natural Language Processing. Interfaces with subject matter experts to understand processes and their end products Source and collate data to build the Use case and perform exploratory analysis to validate its usability Be able to leverage Machine Learning/NLP/LLM where appropriate Write the code to support the building of the use case Create and deliver executive, high-impact output which directly improves the business, and communicate clearly through demos and presentations

Requirements

  • 5-8 years of experience
  • Sharp; think on your feet, quickly come up with innovative solutions and always one step ahead
  • Consumer-centric; empathetic towards the customer with the ability to put yourself in their customer's shoes
  • Obsession for digital products
  • A willingness and appetite to do what it takes to take the product from concept to launch
  • Distinct analytical background with the ability to find data, identify and run tests, distil the results quickly and turn it into actionable insights
  • Consistently demonstrates clear and concise written and verbal communication
  • Great team member and partner
  • Bachelor’s/University degree or equivalent experience
  • Bachelor’s degree in STEM/Finance
  • Demonstrable knowledge of Financial Markets products
  • Experience with python for analytics, or object orientated coding
  • Highly effective communicator, able to interact with stakeholders
  • Sound logical thinking, good attitude / work ethics
  • Ability to multi-task and work under pressure

Nice To Haves

  • Utilizing next gen data science techniques for practical business applications, including model development using Machine Learning and Natural Language Processing.

Responsibilities

  • Responsible for building new products and services, working with data to continually optimize the platform
  • Develop relationships with the engineering organization to turn pain points into prioritized requirements and using usability studies, metrics and competitive analysis to understand the platform and business needs for the platform
  • Understand how a global matrixed organization operated and functions, and thrive in this type of environment
  • Innovate and seek out new solutions
  • Contribute to the platform product portfolio and roadmap
  • Responsible for working collaboratively with the engineering organization to make trade off decisions on the platform product features, to determine release goals, to monitor feature development by maintaining bug catalogs at the feature level, to review product demos against acceptance criteria and to monitor platform performance, adoption, and operational health for feature sets
  • Responsible for identifying and researching anomalous performance and operational risks
  • Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.
  • Interfaces with subject matter experts to understand processes and their end products
  • Source and collate data to build the Use case and perform exploratory analysis to validate its usability
  • Be able to leverage Machine Learning/NLP/LLM where appropriate
  • Write the code to support the building of the use case
  • Create and deliver executive, high-impact output which directly improves the business, and communicate clearly through demos and presentations

Benefits

  • medical, dental & vision coverage
  • 401(k)
  • life, accident, and disability insurance
  • wellness programs
  • paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays
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