iT AML Developer IV #26-22376

Duration: 6 Months (Extension & Conversion Possible)

About the Role

• We are seeking an experienced Data Scientist to join an Advanced Analytics team supporting the development and enhancement of AML transaction monitoring solutions . The successful candidate will work with large-scale datasets perform advanced data analysis support customer segmentation and transaction-monitoring scenarios and provide data-driven insights to business and technical stakeholders.
• This is an opportunity to work on a high-impact project focused on building transaction monitoring capabilities using Oracle within a leading financial services organization.

Key Responsibilities

• Conduct analytical activities supporting AML transaction monitoring systems and related analytical initiatives.
• Independently analyze design and support technical data management solutions across projects of varying complexity.
• Perform data quality checks and validation on raw and curated datasets across Oracle and related data platforms.
• Conduct customer segmentation scenario analysis and initial threshold setting activities.
• Support scenario and model performance monitoring identifying trends gaps and opportunities for improvement.
• Execute quality-control procedures across end-to-end monitoring solutions and identify data or process gaps.
• Support future-state implementation and enhancement activities for transaction monitoring solutions.
• Analyze large datasets to identify patterns trends anomalies and actionable insights.
• Collaborate with business and technical teams to identify opportunities for improvement and support data-driven business strategies.
• Maintain structured documentation to support audit compliance and regulatory requirements .
• Communicate analytical findings and complex data issues clearly to cross-functional stakeholders.

Must-Have Qualifications

• 8 years of relevant professional experience in Data Science Advanced Analytics Data Analytics or a related field.
• Expert-level proficiency in Python and SQL .
• Strong experience with large-scale data exploration analysis and manipulation .
• Advanced knowledge of SQL query optimization debugging and automation .
• Strong understanding of statistical techniques and data mining methods .
• Experience working on data-driven/data-centric projects .
• Hands-on experience with Oracle or similar enterprise data platforms.
• Strong analytical problem-solving and critical-thinking skills.
• Bachelors or masters degree in computer science Data Science Statistics Mathematics or a related discipline . A Masters degree is preferred; equivalent practical experience may be considered.

Nice-to-Have Qualifications

• Experience in AML Financial Crime Transaction Monitoring or Risk Analytics .
• Experience with SAS .
• Experience with Informatica .
• Experience with Tableau or other data visualization/analytics tools.
• Financial services or banking industry experience.
• Experience with customer segmentation and transaction-monitoring scenarios.
• Experience with threshold setting/tuning and scenario performance monitoring .
• Familiarity with audit compliance and regulatory requirements related to AML monitoring.

Soft Skills

• Strong communication and collaboration skills.
• Ability to work effectively with cross-functional business and technical teams.
• Comfortable explaining complex analytical and data-related issues to stakeholders.
• Strong organizational and multitasking abilities.
• Ability to adapt to changing priorities and work independently when required.
• Strong attention to detail and commitment to quality.

Interview Process

• One round In-person panel interview in Markham including technical testing.
• Work Model: Hybrid (3 days onsite per week 2 days remote)

About US Tech Solutions:
US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions please visit .

US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race colour religion sex sexual orientation gender identity national origin disability or status as a protected veteran.

AI Statement: By applying you acknowledge that AI-assisted tools may be used during hiring.
#LI-AS140

Required Experience:

IC