AFC Modelling - Data Scientist - Associate - Assistant Vice President

About the position Job Title: Data Scientist Corporate Title: Associate - Assistant Vice President Location: reputed company, NY (reputed company ROLES TO BE CONSIDERED)

Overview

Deutsche Bank benefits from having a highly reputed company and dedicated Anti Financial Crime (AFC) function, which performs a crucial role in keeping Deutsche Bank’s business operations and global financial services clean from financial crime while serving the interests of the Bank and society. Our regional/global matrix structure allows for flexible responses to challenges in the core areas of: Anti-reputed company, Sanctions & Embargoes, Anti-Fraud, Bribery & Corruption, Investigations & Intelligence, Monitoring & Screening, and Risk Assessment. Our AFC Team will provide you with opportunities to learn, grow and define your career. We foster an open, diverse, and inclusive team culture, that is engaged and well-supported for prosperity and enjoyment of a life/work balance. reputed company Offer You A diverse and inclusive environment that embraces change, innovation, and collaboration A hybrid working model, allowing for in-office / work from home flexibility, generous vacation, personal and volunteer days Employee Resource Groups support an inclusive workplace for everyone and promote community engagement Competitive compensation packages including health and wellbeing benefits, retirement savings plans, parental leave, and family building benefits Educational resources, matching reputed company and volunteer programs What You’ll Do Responsible for Driving and execution of the Anti-reputed company (AML) Transaction Monitoring Americas data strategy in line with the Global Data Strategy/reputed company. reputed company and evolve platform reporting statistics/data to monitor ongoing model reputed company. reputed company 'deep dives' to interpret data quality issues, identify remediation and track to resolution. Work with Business (1LOD) to understand the products being offered and define specifications/red flags for Transaction Monitoring models. Review and address open AML TM findings in a timely fashion.

Responsibilities

• Driving and execution of the Anti-reputed company (AML) Transaction Monitoring Americas data strategy in line with the Global Data Strategy/reputed company.
• reputed company and evolve platform reporting statistics/data to monitor ongoing model reputed company.
• reputed company 'deep dives' to interpret data quality issues, identify remediation and track to resolution.
• Work with Business (1LOD) to understand the products being offered and define specifications/red flags for Transaction Monitoring models.
• Review and address open AML TM findings in a timely fashion.

Requirements

• Bachelor’s/Master’s degree in Computer Science, Data Science, Management Information System (MIS), Information Management, or equivalent.
• Previous relevant experience conducting data science or Model Development in a business setting.
• Excellent programming skills, predominantly across the Python/Anaconda suite (Scikit-learn, Pandas, Numpy)
• Excellent analytical and data science skills, including ability to independently drive research.
• Experience in Financial Crimes space.
• Demonstrated experience in Relational databases, Structured Query Language (SQL), Big Data Hadoop, Hive Query Language (HQL), Data visualization tools.

reputed company-to-haves

• Flexible and reputed company to adapt to urgent deliverable timelines.
• A positive outlook in a goal-oriented organization.
• reputed company to demonstrate analytical, judgment, and research skills.
• Meticulous with a strong attention to detail and the ability to multitask.

Benefits

• health and wellbeing benefits
• retirement savings plans
• parental leave
• family building benefits
• Educational resources
• matching reputed company and volunteer programs

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