AFC Modelling - Data Scientist (Transaction Monitoring) - Vice President

Description

The company's Anti Financial Crime function keeps the bank's operations and global financial services free of financial crime, serving both the bank and society. It works across a regional and global matrix structure covering Anti-Money Laundering, Sanctions and Embargoes, Anti-Fraud, Bribery and Corruption, Investigations and Intelligence, Monitoring and Screening, and Risk Assessment.

This Vice President role sits within that function. You will help shape data science and analytics across the financial crime organization, using advanced analytics, machine learning and large-scale data platforms to improve risk detection, operational effectiveness and strategic decisions.

Corporate title: Vice President. Job title: Data Scientist - Transaction Monitoring.

Responsibilities

• Lead the building and rollout of advanced analytics and machine learning solutions for financial crime and AFC initiatives
• Set the direction for data science by working with business, compliance, technology and risk stakeholders to solve hard problems and produce insights you can act on
• Design, improve and watch predictive models and analytical frameworks built on large, complex datasets
• Run in-depth analyses to spot emerging risks, data quality problems and chances to sharpen detection and operations
• Build reports, dashboards and performance metrics that show how well models work and inform strategic decisions
• Lead technically, support model governance and mentor junior team members, encouraging good analytical practice

Requirements

• A bachelor's degree in computer science, data science, statistics, mathematics, engineering, information systems or another quantitative field; a master's degree is preferred
• Significant experience building and deploying machine learning, statistical or advanced analytics solutions in financial services or another regulated industry
• Strong Python skills, including Pandas, NumPy and Scikit-learn
• Advanced experience with large-scale datasets, SQL, data modeling and modern analytics platforms
• Strong communication and stakeholder management skills, with the ability to persuade business and technical audiences at every level
• Proven ability to use AI tools to raise productivity and streamline workflows for business problems, with sound judgment on responsible and ethical use of data and AI outputs
• Experience in financial crime, Anti-Money Laundering (AML), fraud, compliance, risk management or regulatory technology
• Exposure to transaction monitoring, customer risk analytics, sanctions screening or other financial crime surveillance programs
• Experience with Hadoop, Hive, Spark, cloud-based analytics platforms or other big data technologies
• Strong analytical and problem-solving skills, with the ability to turn business challenges into scalable solutions
• Ability to balance strategic thinking with hands-on work in a quick-moving, changing environment

Conditions

Employees hired into this role are expected to work from the New York City office under the bank's hybrid working model.

The bank provides reasonable accommodations to candidates and employees with a substantiated need based on disability and/or religion.

The salary range for this role in New York City is $155,000 to $252,500. Actual pay may depend on factors including skill set, experience, education, work location and other qualifications. Posted ranges exclude incentive compensation and any other remuneration.

The bank welcomes applications from all people and aims for a positive, fair and inclusive workplace.

Benefits

• Hybrid working, with flexibility between office and home, generous vacation, and personal and volunteer days
• Competitive compensation packages with health and wellbeing benefits, retirement savings plans, parental leave and family building benefits
• Physical, emotional and financial wellness benefits
• Employee resource groups that support an inclusive workplace and community engagement
• Educational resources, matching gift and volunteer programs