Global Reconciliation AI/ML Development Lead

3 weeks ago

Mississauga, Canada Citi Full time

The Olympus Data Reconciliation and Engineering team is responsible for delivering enterprise solutions and common operating model, that provides scalable, efficient and standardize processing for complex reconciliations in the global processing hubs.This role, Global Reconciliation AI/ML Development Lead, will be responsible for all aspects of Reconciliation platform design and development and lead the delivery and adoption of our next generation solution.

The Applications Development Group Manager is a senior management level position responsible for accomplishing results through the management of a team or department in an effort to establish and implement new or revised application systems and programs in coordination with the Technology Team. The overall objective of this role is to drive applications systems analysis and programming activities.

Responsibilities:

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.

Qualifications:

10+ years of experience in large Financial Services or 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

Skills required:

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 and experience 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

Education:

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

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Job Family Group:

Technology

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Job Family:

Applications Development

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Time Type:

Full time

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