Principal Data Scientist

Company:
Location: Remote

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BE PART OF A BANK LIKE NO OTHER.

When you work with the world’s most innovative companies, you know you’re making a difference.

Our clients are the game changers, leaders and investors who fuel the global innovation economy. They’re the businesses behind the next medical breakthroughs. And the visionaries whose new technologies could transform the way people live and work.

They come to SVB for our expertise, deep network and 30+ years of experience in the industries we serve, and to partner with diverse teams of passionate, enterprising SVBers, dedicated to an inclusive approach to helping them grow and succeed at every stage of their business.

Join us at SVB and be part of bringing our clients’ world-changing ideas to life. At SVB, we have the opportunity to grow and collectively make an impact by supporting the innovative clients and communities SVB serves. We pride ourselves in having both a diverse client roster and an equally diverse and inclusive organization. And we work diligently to encourage all with different ways of thinking, different ways of working, and especially those traditionally underrepresented in technology and financial services, to apply.

Job Description

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.
Financial Crimes Analytics (FCA) 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. Enterprise-level Monitoring and Innovative Technologies (E-MIT) group operates within FCA that creates and manages transactions monitoring solutions for mitigating AML, Fraud risks, as well as providing management with Business Intelligence & Reporting services.

FRAML is a relatively new framework that encompasses both the Fraud and AML paradigms. Within this framework, risk is viewed holistically to ensure the mitigation of risks from both the client and the bank perspectives. There are multiple shared elements between the two paradigms including preventing a client using the bank either to defraud others or commit other financial crimes as specified by BSA and Patriot Act. Ill-gotten gains through fraud invariably lead to laundering of the proceeds go hand in hand. To manage and mitigate such risks, a newer monitoring framework is planned within SVB.

To achieve the goals of such a framework, a Principal Data Scientist 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 Principal Data Scientist, in this role, will be responsible for data mining efforts, building processes for the team to be able to use insights effectively and efficiently.

Responsibilities include:
  • Design and develop AML & Fraud monitoring tools, programs and models using a risk-based approach
  • Evaluate the effectiveness of existing AML/Fraud modeling tools, programs and models and tune them as needed using a risk-based approach
  • Collaborate with the AML/Fraud Investigations, internal audit, external examiners, model risk management to ensure AML/Fraud compliance and mitigate the risks to the Bank including financial losses.
  • Interact with other groups within FCRM and provide utility through analytics support
  • Manage, maintain, and improve existing processes and introduce newer processes to maintain adequate coverage of all the transactions associated with the products and services offered by the bank.
  • Design mining tools and KDIs for efficient monitoring
  • Design processes to integrate data from multiple sources to facilitate advanced analytics
  • Develop efficient, scalable, and repeatable processes to run transaction monitoring processes on a regular basis
  • Partner 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
  • Connect and work with business groups to understand the Business case/Use case to develop/design best-in-class analytical solution(s).
  • Use 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
  • Leverage communication skills to collaborate effectively with analysts across SVB
  • Evaluate effectiveness of the models and delivered information by working with users of information
  • Research external insights and blend with internal insights to create and understanding of the customers (LOBs and AML/Fraud Investigations)
  • Communicate with IT partners to share selected transformation processes by facilitating and reviewing business requirements.
  • Document data transformation, model development and monthly processes to the satisfaction of Model Risk Management, Internal Audit, and the Bank Examiners

Qualifications

  • Master’s degree in Mathematics, Computer Science, Finance, Accounting, Economics, Statistics or Operations Research or other quantitative subjects
  • 8+ years of experience in AML or Fraud 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 a critical requirement
  • 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

Primary Location: Multiple Locations

For more than 35 years, SVB Financial Group (NASDAQ: SIVB) and its subsidiaries have helped innovative companies and their investors move bold ideas forward, fast. SVB Financial Group's businesses, including Silicon Valley Bank, offer commercial and private banking, asset management, private wealth management, brokerage and investment services and funds management services to companies in the technology, life science and healthcare, private equity and venture capital, and premium wine industries. Headquartered in Santa Clara, California, SVB Financial Group operates in centers of innovation around the world. Learn more at svb.com.

SVB Financial Group is an equal opportunity employer.

At SVB, we have the opportunity to grow and collectively make an impact by supporting the innovative clients and communities SVB serves. We pride ourselves in having both a diverse client roster and an equally diverse and inclusive organization. And we work diligently to encourage all with different ways of thinking, different ways of working, and especially those traditionally underrepresented in technology and financial services, to apply.

© 2021 SVB Financial Group. All rights reserved. SVB, SVB FINANCIAL GROUP, SILICON VALLEY BANK, MAKE NEXT HAPPEN NOW and the chevron device are trademarks of SVB Financial Group, used under license. Silicon Valley Bank is a member of the FDIC and the Federal Reserve System. Silicon Valley Bank is the California bank subsidiary of SVB Financial Group (Nasdaq: SIVB).

Silicon Valley Bank is registered in England and Wales at Alphabeta, 14-18 Finsbury Square, London EC2A 1BR, UK under No. FC029579. Silicon Valley Bank is authorised and regulated by the California Department of Business Oversight and the United States Federal Reserve Bank; authorised by the Prudential Regulation Authority with number 577295; and subject to regulation by the Financial Conduct Authority and limited regulation by the Prudential Regulation Authority. Details about the extent of our regulation by the Prudential Regulation Authority are available from us on request.

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