The BP&A Intermediate Analyst is a developing professional role. Deals with most problems independently and has some latitude to solve complex problems. Integrates in-depth specialty area knowledge with a solid understanding of industry standards and practices. Good understanding of how the team and area integrate with others in accomplishing the objectives of the subfunction/ job family. Applies analytical thinking and knowledge of data analysis tools and methodologies. Requires attention to detail when making judgments and recommendations based on the analysis of factual information. Typically deals with variable issues with potentially broader business impact. Applies professional judgment when interpreting data and results. Breaks down information in a systematic and communicable manner. Developed communication and diplomacy skills are required in order to exchange potentially complex/sensitive information. Moderate but direct impact through close contact with the businesses' core activities. Quality and timeliness of service provided will affect the effectiveness of own team and other closely related teams.
Responsibilities:
- In collaboration with others, create, analyze, interpret and present routine and ad hoc reports, interpret data and develop recommendations based on findings to provide ongoing appropriate inter-departmental communication
- Provide written explanations of approach and analysis in clear language that supports the conclusions and observations
- Validate data, identify data quality issues (if any) and address them, identify problematic areas and conduct research to determine the best course of action to correct the data
- Drive quality, reliability and usability of all work products, evaluate and refine the analytical methods and procedures used to obtain data in order to ensure validity, applicability, efficiency and accuracy
- Document solutions and present results in a clear straightforward comprehensive way to non-technical audience, as well as write more formal documentation using statistical vocabulary
- Think outside the box and look for new methods to constantly improve the effectiveness and efficiency of the AML Detection, Monitoring and Operations systems and processes used in Citi
- Maintain an industry leading knowledge of the tools, systems and processes available for best in class AML Detection and Monitoring Operations
- Apply rigorous analytical methods to organize, analyze, and interpret data and reports; ensure appropriate methodology is selected to draw conclusions and make recommendations answering specific business needs
Qualifications:
- Minimum of 2-3 years of experience as data analyst/data scientist required
- Fluent English
- Experience with relational databases such as Oracle, SQL Server and Data Marts/Data Warehouses is essential
- Proficiency with Microsoft Suite and SQL is a must
- Ability to present complex information in an understandable and compelling manner is required
- Bachelor’s/Master’s degree in respective field is required
- Experience using SAS, R or other packages is essential
- Experience in data mining tools would be an advantage
- AML Compliance and Mantas knowledge would be a plus
- Knowledge of the local/regional laws and regulations applicable to anti-money laundering is a plus
- Previous experience with financial services companies is preferred (retail banking, small business banking, commercial, institutional, private banking) would be advantage
Education:
- Bachelor’s/University degree or equivalent experience