Roles and Responsibilities
The Data Intelligence & Analytics Analyst must demonstrate critical thinking, analytical and problem-solving abilities, hands-on intelligence or data analysis skills, network analysis acumen, and intellectual curiosity is essential for data science tasks. The candidate must be able to apply these abilities to detect non-obvious risks or develop, test, and champion ideas to increase detection. The candidate should understand data science methods, and visualization techniques to leverage internal and external data to identify and develop ways to systemically detect financial crime risk.
Specifically, the candidate should:
- Utilize features and algorithms to drive down false positives and identify financial crime threats across the firm.
- Demonstrate an ability to apply curiosity and critical thinking in data mining, analytics, and derivative outputs.
- 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.
- Understand the regional or global implications and applicability of the recommendations.
- Partner with and assist global resources ensuring the teams working cohesively and effectively to complete the research, analysis, and recommendation process.
- Effectively communicate recommendations to stakeholders.
- Conduct analysis employing available technology to identify patterns, red flags, or typologies of interesting behaviour.
- Synthesize information into knowledge by identifying relevant trends and issues.
- Document and reference key facts uncovered during research and analysis process.
- May support global and regional projects to include development, implementation and/or supply ongoing support for the recommended solution.
- Support analytically necessary business solution documentation (BRD, TSD, etc.).
- May participate in the development, testing, and training of new or enhanced tactical solutions or strategic system applications.
- 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
- Intermediate skills using tools like: Python, R, SAS, or similar statistical applications
- Experience with modelling is a plus.
Desired Candidate Profile
Preferred Skills:
- Passionate and Committed
- Ability to work with virtual users and a global team located in different hubs.
- Track record of delivering projects within tight timelines.
- Financial / banking background is a plus
Education:
- Bachelors/University degree or equivalent experience
- Masters in data analytics / data science