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The Lead Analyst will play a strategic role in Global AML Business Systems, Data & Analyticsin formulating platform strategy, projects and programs with a Technology focus, addressing business/functional requirements across the AML product family
Responsibilities:
Provide in-depth subject matter expertise and play a driving role responsible for investigating business systems and evaluating technical options for accelerating business systems.
Identify and prioritize business needs.
Maintain a global perspective for all solutions and work with all stakeholders to ensure global consistency.
Integrates subject matter and industry expertise within a defined area.
Contributes to data analytics standards around which others will operate.
Applies in-depth understanding of how data analytics collectively integrate within the sub-function as well as coordinate and contribute to the objectives of the entire function.
Employs developed communication and diplomacy skills are required in order to guide, influence and convince others, in particular colleagues in other areas and occasional external customers.
Resolves occasionally complex and highly variable issues.
Produces detailed analysis of issues where the best course of action is not evident from the information available, but actions must be recommended/ taken.
Responsible for volume, quality, timeliness and delivery of data science projects along with short-term planning resource planning.
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.
Qualifications:
Minimum 7 years of relevant hands-on experience (Data analytics /Business Analysis/ Operations, requirements gathering, etc) preferred
Experience with tools like Oracle, MS SQL, MySQL, Hadoop is required
Experience with: Python, R, SAS or similar statistical package is a plus
Ability to analyze large sets of complex data, draw meaningful conclusions, and make business recommendations based on analysis
Strong analytical skills and knowledge of Compliance, AML policy, financial services, investment and retail banking products/services (back and middle office operations).
Advanced knowledge of Detection and Monitoring platforms or rules
Understanding of advanced monitoring solution platforms (EAP, BigData)
Demonstrate a high degree of proficiency in one or more of the lines of business: Wealth, Services etc. preferred
Ability to work with limited supervision while still delivering to a high quality
Fluency in technology development lifecycle
Experience in a multinational corporation preferred, with a proven ability to work with people across geographic regions/countries and diverse cultures
Demonstrated ability to work independently and interact effectively with different levels of management and to operate with excellent corporate work ethics
Demonstrated initiative and creativity in problem solving
Strong Power Point and Presentation skills
Education:
Bachelor’s/ Master degree in following or related fields: Computer Science, Mathematics, Engineering or Business
This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.
Anticipated Posting Close Date:
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