The Olympus Data Reconciliation and Engineering team is responsible for delivering enterprise solutions and common operating model, which provides scalable, efficient and standardise processing for complex reconciliations in the global processing hubs. We are looking for a candidate who can analyze substantial amounts of raw information to find patterns and build AI/ML models. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research.

This role will be responsible for all aspects of Reconciliation platform design and development and the delivery and adoption of our next generation solution.

Responsibilities:

• 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.

Qualifications:

• 10+ years of experience in large Financial Services or Insurance or Telecom companies

• 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

Skills required:

• 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.

Education:

• Bachelor’s degree/University degree or equivalent experience

• Master’s degree preferred.

This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

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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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