Data Science Intermediate Analyst - AML- ICRM, Officer Job at Citi (Shanghai)

Job Description

The Statistician will work under the supervision of senior team members to provide ongoing support in terms of required analysis. The scope of analysis will cover all aspects of analysis performed by the team: DSMM, Segmentation, Tactical Tuning projects, and data modeling/validation efforts depending on current needs and project plans. The Statistician will follow the globally consistent methodology, but is expected to have a high level of initiative and creativity and suggest enhancements to the current methodologies. The Statistician will primarily focus on DSMM projects, while maintaining the flexibility to switch amongst work streams based on business need.

Job Responsibility

Automate data extraction and data preprocessing tasks. Perform ad hoc data analyses. Design and maintain complex data manipulation processes. Provide consistent documentation and presentations
Conduct data-driven analysis and create reports. Apply quantitative and qualitative data analysis methods
prepare statistical and non-statistical data exploration. Validate data, identify data quality issues (if any), and work with Technology to address them. Analyze and interpret data reports, draw conclusions and make recommendations answering specific business needs
Document solutions and present results in a simple comprehensive way to non-technical audience, as well as write more formal documentation using statistical vocabulary
Generate new ideas, concepts and models to improve methods of obtaining and evaluating quantitative and qualitative data. Identify relationships and trends in data, as well as any factors that could affect the results of research. Question and validate assumptions. Escalate identified risks and sensitive areas in terms of methodology and processes
Maintain an industry leading knowledge of the tools, systems and processes available for best in class AML Detection and Monitoring Operations
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

Requirements

Strong academic background, knowledge of quantitative methods
Good knowledge of SAS, SQL, Python, Big data tools and/or other data processing languages (SAS 4GL is preferable)
Highly-skilled and good knowledge of MS Excel and VBA experience
Experience in reporting the results of analysis in clear written form, and in presenting the findings during meetings and conference calls
Min. 2-3 years of experience in a large corporation, preferably experience of multicultural environment
Team working experience (demonstrated team player ability required)
Understanding of technical requirements, ability to communicate with Technical Support
Master degree in statistics/mathematics/actuarial sciences/economics. Degree in economics/banking may be considered if strong analytical skills proved
Fluency in English and very good oral and written communication skills are necessary
Statistical/data analytical skills - including both calculation and interpretation of outcome
Methodical analysis and problem-solving skills
Initiative, creativity and attention to detail are essential
Ability to work under close supervision of senior team member, while preserving independence of thinking and responsibility for the results
Ability to discuss reasoning, critical assessment of facts and opinions
ability of giving comprehensive answers and arguments
Conceptual and creative thinking (outside the box)
Demonstrated ability to communicate effectively, both orally and in writing, through all levels of the organization and through different business units
Self-motivated with high desire of self-development and learning
Must be able to coordinate and deal with conflicting time demands
Ability to work non-standard business hours, including weekends and holidays as determined by the business needs. Flexibility will be expected
Very good written and verbal communication ability in an educational style. Ability to express thoughts and concepts clearly
Teamwork: Ability to work well with a variety of people and to show team-player attitude regardless the scope of responsibilities
Creativity: Provide input into the innovation of new and enhanced approaches. Having initiative and a proactive attitude is desirable

Nice to have

Experience with statistical modelling
Mantas and AML monitoring systems experience or other transaction monitoring systems a plus
Knowledge of the local/regional laws and regulations applicable to anti-money laundering
Previous experience with financial services companies (retail banking, small business banking, commercial, institutional, private banking)
Knowledge of any programming language or dedicated statistical software would be an advantage
Experience and knowledge in banking and finance will be desirable, as well as the ability to read and create formal documentation

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Data Science Intermediate Analyst - AML- ICRM, Officer

Job Description

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