Global Reconciliation Ai/ml Development Lead

6 months 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.**:
**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**:

- ** 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**:
**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**:

- **Job Family Group**:
Technology
- **Job Family**:
Applications Development
- **Time Type**:
Full time
- 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.

View the "**EEO is the Law**" poster. View the **EEO is the Law Supplement**.

View the **EEO Policy Statement**.

View the **Pay Transparency Posting

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