The AI/ML Digital S/W Eng Sr Lead Analyst is a strategic professional who closely follows latest trends in own field and adapts them for application within own job and the business. Typically a small number of people within the business that provide the same level of expertise. Excellent communication skills required in order to negotiate internally, often at a senior level. Developed communication and diplomacy skills are required in order to guide, influence and convince others, in particular colleagues in other areas and occasional external customers. Accountable for significant direct business results or authoritative advice regarding the operations of the business. Necessitates a degree of responsibility over technical strategy. Primarily affects a sub-function. Responsible for handling staff management issues, including resource management and allocation of work within the team/project.

Responsibilities:

• Accountable for defining the technology strategy for Digital team in alignment with Citi Technology. As such, collaborate to help create reliable, scalable, and high-performance services and architectures. Through these efforts, develop cohesive interpersonal working relationships with all peers and team members. “It’s all about team work.”

• Utilize comprehensive knowledge of multiple technological disciplines to achieve objectives by providing leadership and guidance to the teams responsible for architecting, implementing and performing continuous improvement to products.

• Work style is very independent, requiring little or no guidance by more senior architects. Decisions will make a significant, measurable impact on the business goals for different lines of business. During team discussions you will play a significant role with PMTs, TPMs and SDEs to determine potential technological designs and approaches.

• Assist in the planning and managing of assignments generally involving large budgets, cross functional and / or multiple projects simultaneously. This includes effectively understanding and analyzing both technical and business risks and impact.

• Be part of the design review board that will focus n the design process, search for generic patterns, and, at the same time, share best practices across the organization. As such, you will identify and define necessary system enhancements to introduce and let SDE teams deploy new products and process enhancements.

• Have a wider understanding of the technical strategy for a particular architecture, platform or solution. Help gain consensus across all of our teams as a leader. You interact with external vendors and look for innovative solutions in the market. Participate in lesson learned sessions and ensure that the outcomes flow back into the software processes. This is one area that can drive incremental improvement.

• This position acts as advisor or coach to new or lower level architects. You will construct and analyze metrics reporting and as such will have a metric-oriented sense of successful delivery of assignments.

• Contribute to brown bags, external publications, user-group leadership, speaking opportunities at industry conferences while raising Citi’s GCT profile and more in the industry,

• In addition to a comprehensive understanding of the business domain, the systems, and the products in your space, you will have a strong knowledge of emerging technologies and best practices. Help to drive cross-team solutions, anticipating and addressing problems ahead of the needs of the scrum teams. Regularly meet with SDE IIIs and IIs to ensure your engineering and operational excellence focuses are addressing the key tactical and strategic issues.

• Understand the business impact of your systems and show good judgment when making technical trade-offs between your team’s short-term technology or operational needs and long-term business needs. Be a key influencer in team strategy. Drive mindful discussions with customers and peers. Bring perspective and provide context for current technology choices and guide future technology choices. Understand that not all problems are new (or require new software). Make appropriate architectural trade-offs (e.g., coarse or fine grained service separation?)

• Code submissions and approach to work are exemplary – your solutions are inventive, secure, easily maintainable, appropriately scalable, and extensible. You write software that is easy for others to contribute to.

• 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.

Qualifications:

A seasoned 9+ Professional experience in Data Analytics, Machine Learning, Artificial Intelligence, and Business Analytics. The role requires leading analytical interpretations and delivering emerging data solutions in a dynamic environment. The position emphasizes the development of data-driven strategies, predictive models, and machine learning techniques to support key business decisions, optimize processes, and contribute to digital transformation.

Key Responsibilities:

• Develop machine learning models to support financial and securities analytics.

• Design and implement predictive models to forecast market trends, price discovery, and risk management.

• Collaborate with various departments to identify business problems and provide innovative data-driven solutions.

• Oversee the development and integration of analytical techniques, such as neural networks and reinforcement learning, to solve complex business challenges.

• Lead and strategize data-driven transformations across the organization.

• Provide advisory services on data frameworks, governance, and quality.

• Lead projects on Generative AI for investment management and develop cutting-edge research in the field.

• Ensure the continuous improvement of data acquisition, extraction, and presentation processes.

Skills and Competencies:

• Expertise in Data Analytics, Machine Learning, and Artificial Intelligence.

• Advanced skills in predictive modeling, data mining, and business analytics.

• Proficiency with tools like Python, R, TensorFlow, PyTorch, and AWS.

• Experience with data visualization tools like Tableau, ggplot, and Seaborn.

• Strong problem-solving abilities, with a focus on applying data science techniques to real-world business challenges.

• Exceptional communication and leadership skills, capable of mentoring teams and driving results.

Core Competencies:

• Data Analytics & Mining

• Predictive Modeling

• Machine Learning & Artificial Intelligence

• Data Visualization & Integration

• Business Analytics

• Requirement Gathering & Analysis

Education:

• Bachelor’s/University degree, Master’s degree preferred

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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.

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