Highly Skilled AML Data Analyst for Financial Crime Detection
hace 1 semana
Citi is a leading global bank with a commitment to innovation and excellence. We are seeking a highly skilled Senior AML Data Science Analyst to join our team in the Global AML Business Systems, Data & Analytics function.
The estimated annual salary for this role is $120,000 - $180,000, depending on location and experience. This position will play a critical role in supporting the continued development of technical solutions that support Anti-Money Laundering (AML) efforts.
Job Overview
The Senior Analyst will work closely with the AML Functions and all levels of AML staff from across all regions, including our Regional and Country Hubs. This role will involve formulating platform strategy, projects, and programs with a Technology focus, addressing business/functional requirements across the AML product family.
Key Responsibilities
- Utilize features and algorithms to drive down false positives and identify financial crime threats across the firm.
- Conduct data mining/query functions across relational or big data databases utilizing various data science tools and methods.
- Supports global/regional internal SMEs; responsible for investigating and researching the Financial Crimes processes and tools identifying efficiency and effectiveness opportunities.
- Supports global team members during feature and algorithm research, design, and implementation as needed.
- Supports tactical and strategic initiatives and projects focused on financial crime detection.
- Effectively communicate recommendations to stakeholders.
- Conduct analysis employing available technology to identify patterns, red flags, or typologies of interesting behavior.
- Synthesize information into knowledge by identifying relevant trends and issues.
- Document and reference key facts uncovered during research and analysis process.
Required Skills and Qualifications
To be successful in this role, you will need:
- Experience utilizing data science tools and methods.
- Intermediate understanding & hands-on across Financial Crime (AML/Fraud/Cyber/Sanctions/Corruption/Anti-Bribery Risks and Typologies) domain, as well as transaction monitoring processes used to mitigate these risks.
- Analytics experience in the financial crime domain is a plus.
- Proven research and analytical skills, business acumen, strategic and creative thinking, project leadership skills, and multi-tasking capabilities.
- Intermediate SQL skills using tools like Teradata, MS SQL, MySQL, Hadoop.
- Experience with modeling is a plus.
- Ability to analyze large sets of complex data, draw meaningful conclusions, and make recommendations based on analysis.
- Exceptional interpersonal and communication skills, in dealing with people at all levels of the organization both written and verbal.
- Intellectual curiosity, passion for problem-solving, and comfort with ambiguity.
- Ability to thrive in a cross-functional environment while juggling multiple responsibilities.
- High energy and a desire to work in a results-oriented, fast growth environment.
Bachelor's Degree Requirements
A Bachelor's Degree in Statistics, Mathematics, Data Science, Data Analytics, Business Analytics, or related quantitative fields is required. A Master's Degree is preferred.
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