Silicon Valley Bank is the market leader in providing financial solutions to the world's most innovative companies, leaders and investors. Our clients are the game changers fueling the global innovation economy and transforming the way we live and work. SVB has been an incredible growth story over the last 5+ years and continues to grow and expand internationally. Come join a growing, global commercial bank at the heart of the innovation economy where you will be able to help bring our clients' world-changing ideas to life.
The Strategic Solutions and Services (S3) under Financial Crimes Risk Management (FCRM) group at SVB is responsible for the management and evolution of the tools and strategic infrastructure in support of Financial Crimes Risk Management. Under S3 is the Enterprise-level Monitoring and Innovative Technologies (E-MIT) group that creates and manages transactions monitoring solutions for mitigating AML risks, as well as providing management with Business Intelligence & Reporting services.
To design and create appropriate monitoring framework, a Senior Financial Crimes manager will identify and explore relevant data sources; then create business understanding of the data by applying data mining techniques, build risk-based monitoring tools that helps to manage the Bank's transactional risk exposure to well within its risk appetite. The Senior Financial Crimes Manager, in this role, will be responsible for data mining efforts, building processes for the team to be able to use insights effectively and efficiently.
Design and develop AML monitoring tools, programs and models using a risk-based approach
Evaluate the effectiveness of existing AML modeling tools, programs and models and tune them as needed using a risk-based approach
Collaborate with the AML Investigations, internal audit, external examiners, model risk management to ensure AML compliance.
Interact with other groups within FCRM and provide utility through analytics support
Managing, maintaining and improving existing processes and introduce newer processes to maintain adequate coverage of all the transactions associated with the products and services offered by the bank.
Data analytics and mining and construction of KDIs
Designing processes to integrate data from multiple sources to facilitate advanced analytics
Developing efficient, scalable and repeatable processes to run transaction monitoring processes on a regular basis
Partnering with other data scientists/business analysts to make them familiar with the transformed information so that it can be appropriately used by other analysts and statisticians
Connecting and working with business groups to understand the Business case/Use case to develop/design best-in-class analytical solution(s).
Using best practices framework to ensure data, and model quality and reconciliation checks are in place and are transparent the audit, model risk management and regulators
Leveraging communication skills to collaborate effectively with analysts across SVB
Evaluating effectiveness of the models and delivered information by working with users of information
Ability to research external insights and blend with internal insights to create and understanding of the customers (LOBs and AML Investigations)
Communicating with IT partners to share selected transformation processes by facilitating and reviewing business requirements.
Documenting data transformation, model development and monthly processes to the satisfaction of Model Risk Management, Internal Audit and the Bank Examiners
Bachelor's/Master's degree in Mathematics, Computer Science, Finance, Accounting, Economics, Statistics or Operations Research or other quantitative subjects
6+ years of experience in AML related analytics and/or business intelligence space
Strong analytical and problem-solving skills
Demonstrated experience with the data mining tools SAS and SQL preferably through Oracle PL/SQL.
Solid understanding of writing and understanding of complex SQL queries
Extensive knowledge and experience in Oracle SQL and SAS tools/techniques
Background in data mining tools and techniques for e.g. SAS programming and SQL coding
Ability to develop and enhance complex PL/SQL scripts, queries, and stored procedures and ETL processes
Proven Documentation (technical and user documentation) and Verbal and written Communication skills
Good understanding of BI Methodologies and Practice. Working knowledge with Tableau is a plus
Experience with systems integration, building system models by combining model components and testing the integrity of modeling systems, proficient with model and systems implementation testing
Knowledge of Data Governance and DQ framework is a plus
Background in Modeling in Banking/Finance industry is preferred
Experience with ETL and data modeling tools is a plus
Effective time management and organizational skills
Flexibility to work/manage variety of projects
Demonstrated ability to self-manage and multitask in a dynamic, ever-changing environment