Citi Group Artificial Intelligence & Machine Learning Engineer/Architect 

Canada, Ontario 

767697413

• As part of the Global Reconciliation Utility (GRU) and Data Engineering team, this role will be responsible for development and implementation of GRU ML models strategies.
• Lead ideation, technical development, and launch of innovative AI ML models and ensure the design and usage adheres to the overall Citi’s architecture blueprint.
• Steer the ML models development process, ensuring compliance with budget, scope, and project timelines.
• Undertake preprocessing of structured and unstructured data
• Analyze substantial amounts of information to discover trends and patterns.
• Build predictive models and machine-learning algorithms.
• Combine models through ensemble modeling.
• Present information using data visualization techniques.
• Propose solutions and strategies to business challenges.
• Collaborate with engineering and operational teams to ensure ML Models success and integration.
• Provide in-depth analysis with interpretive thinking to define issues and develop innovative solutions.
• Define ML Models roadmaps and schedules in collaboration with technical and business teams.
• Facilitate the creation and maintenance of proper ML Models documentation.
• Foster strong relationships with key stakeholders and external partners to support ML Models development.

• 6-10 years of experience in largeFinancial Servicesor Insurance or Telecom companies
• 6 - 10 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.
• 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 with predictive analytics using large and complex datasets.
• Enthusiastic about AI and ML optimizations and open-source technologies

• Strong problem-solving skills with an emphasis on ML Models development.
• 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.
• Excellent written and verbal communication skills for coordinating across teams.
• A drive to learn and master innovative technologies and techniques.
• familiar with the following software/tools:
  • Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining etc.
  • Experience querying databases and using statistical computer languages: R, Python, SQL.
  • Experience using web services: Redshift, S3, Spark
  • Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
  • Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, MySQL /
  • Experience with BI tools: Tableau, QlikView.

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

Time Type:

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