Citi Group Global Reconciliation AI/ML Development Lead 

Canada, Ontario 

797489664

• Manage multiple teams of professionals to accomplish established goals and conduct personnel duties for team (e.g. performance evaluations, hiring and disciplinary actions)
• Provide strategic influence and exercise control over resources, budget management and planning while monitoring end results
• Utilize in-depth knowledge of concepts and procedures within own area and basic knowledge of other areas to resolve issues
• Ensure essential procedures are followed and contribute to defining standards
• Integrate in-depth knowledge of applications development with overall technology function to achieve established goals
• Provide evaluative judgement based on analysis of facts in complicated, unique, and dynamic situations including drawing from internal and external sources
• Influence and negotiate with senior leaders across functions, as well as communicate with external parties as necessary
• 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, as well as effectively supervise the activity of others and create accountability with those who fail to maintain these standards.

• 10+ years of experience in largeFinancial Servicesor Insurance or Telecom companies
• 8-10+ years of managerial experience
• 12+ years of AI/ML Development and Big Data experience
• Expertise with data reconciliations, data quality, large data processing and controls
• Expertise leading large scale Enterprise Transformation initiatives with a clear track record of success
• Expertise presenting & socializing with Senior Management across Business & Technology
• Ability to articulate intricacies of Technology Architecture
• Deep functional and technical experience in Capital Markets across Front Office, Middle Office, Operations, Risk & Finance.
• Demonstrated leadership, management, and development skills
• Experience managing development teams with a global footprint
• Experience with predictive analytics using large and complex datasets.
• Passionate about AI and ML optimizations and open source technologies

• Strong Product Delivery skills
• Expertise in gathering business requirements, process visualization and optimization
• Detail oriented and proven analytical skills
• Solid relationship building skills
• Excellent written and verbal communication skills. Must be able to effectively communicate with management and employees across business units.
• Must have practiced Agile/Scrum
• Broad knowledge of Data, Analytics, AI and Automation Solutions / tools including understanding of various service providers and tools available in the marketplace
• Proficient in AI models andexperience building, scaling, and optimizing training or inferencing systems for deep neural networks
• Experience designing control and sandboxing systems for AI research
• Hands on experience with the following tools and technologies:
  • Hadoop, Spark, Kafka, Phyton
  • Relational SQL and NoSQL databases
  • Experience with Java, Scala, Microservices
  • Expertise in Big Data querying tools e.g. Hive and Impala
  • Experience with NLP/Machine learning
  • Experience with reporting tools, like Tableau

• Bachelor’s degree/University degree or equivalent experience
• Master’s degree preferred
• PMP Certification, specific business Licenses beneficial

• Bachelor’s degree/University degree or equivalent experience
• Master’s degree preferred

Time Type:

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