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SVP, Machine Learning Engineer

Citigroup Inc

Location: Tampa, Florida
Type: Non-Remote
Posted on: July 9, 2021
This job is no longer available from the source.
The Data Science team’s mandate within Business Simplification Group (BSG) is to rapidly develop and implement various Data Science, Machine Learning ideas and collaborate extensively with other areas within the organization and external vendors to simplify and optimize business processes and improve data quality. The execution approach is to a develop in-house proof of concepts and/or use relevant third-party tools for rapid testing and deployment, on problems experienced in managing processes and related data. The initial focus will be to identify, coordinate and execute proof of concepts that once proven will be scaled up and made operational. We are looking for an energetic and resourceful ML Engineer, with experience in identification, application and deployment of relevant methodologies, platforms and tools, who is willing to take part in this exciting journey to help Citi achieve the Business Simplification and Data Quality improvement mandate.
RESPONSIBILITIES:
• Develop the ML tool, applications, platform model, strategy and execution roadmap for BSG, in alignment with other related strategies and initiatives.
• Partner within BSG and other functional area team members, stakeholders to ensure alignment of objectives with other ongoing and future initiatives.
• Provide expertise in proof of concept development and prioritization, and execute proof of concepts on in-house Big Data clusters, desktop and external cloud platforms, either independently or in partnership with external vendors, for testing ideas and scaling up proven concepts.
• Identify internal tools/applications and extend with third party applications, when needed, to help develop the connected digital ecosystem framework.
• Stay up to date about latest development in this area by identifying relevant emerging tools and  techniques and proven cases in banking and other industries.
• Deliver analytics initiatives, in partnership with other Data Scientists within the team and others, to address business problems with the ability to identify tooling, platform required, assess time & effort required and establish a project plan
• Consults with business clients to determine system functional specifications. Applies comprehensive understanding of how multiple areas collectively integrate to contribute towards achieving business objectives
• Consults with users and clients to solve complex system issues/problems through in-depth evaluation of business processes, systems and industry standards; recommends solutions
• May lead system change process from requirements through implementation; provides user and operational support of application to business users
• Considers the business implications of the application of technology to the current business environment; identifies and communicates risks and impacts
• Drives communication between business leaders and IT; exhibits sound and comprehensive communication and diplomacy skills to exchange complex information
• 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.
• Communicate progress, and present results in a clear manner.
QUALIFICATIONS:
• 10+ years of overall relevant experience
• Bachelor's degree; Master’s Degree strongly preferred in Computer Science, Engineering, Statistics, Math, or related technical disciplines
• At least eight years of hands on relevant ML engineering experience in using ML or analytics related tools, applications, platforms, data exchange protocols for process and data related problem-solving, with domain knowledge and experience in Banking a plus
• Experience in process modeling, using industry standard process modeling language and formats, such as UML and BPMNO 2.0
• Experience in setting up, executing in-house big data platforms (e.g. Hadoop clusters), external cloud (e.g. GCP, AWS, Azure) and local/desktop a must
• Proven experience in deployment of solutions with programming languages, such as Python, R, Pyspark, C/C++, Java or Scala for large scale data analytics
• Experience in executing proof-of-concepts and putting proven concepts into production
• Excellent understanding of data science, machine learning and related techniques, algorithms, toolkits and platforms to develop solutions that are ready for production and can perform at scale
• Process Improvement or Project Management experience
• Ability to work collaboratively with regional and global partners in other functional units; ability to navigate a complex organization; to influence and lead people across cultures at a senior level
• Have Risk and Control mind-set in evaluating and executing concepts
• Excellent written, verbal and analytical skills. Communication skills to influence people to exchange information and results
• Strong presentation skills with the ability to articulate complex problems and solutions through concise and clear messaging
• Must be a self-starter, flexible, innovative and adaptive. Intellectual curiosity, to stay up to date about latest development in this area
• Highly motivated, strong attention to detail, team oriented, organized
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Job Family Group:
Technology
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Job Family:
Data Science
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Time Type:
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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.
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