Quantitative Operations Associate II - Sanctions Screening Center of Excellence

Job Opportunity At Bank Of America

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Job Description

Responsible for developing quantitative/analytic models and applications in support of the firm's risk management effort. This role focuses on the development of operations/data management policies, strategies and operational guidelines for the organization's various financial products as they relate to the analysis, tracking, and reporting of various risk metrics. This role often possesses an advanced degree in physics, applied mathematics, statistics/probability or another heavy quantitative discipline. Quantitative analytic staff is focused on and responsible for the development of the theory and mathematics behind various models. May report to either Quant Operations Exec or Quantitative Operations Manager.

Line Of Business Job Description

About Sanctions Screening Center of Excellence: The Center of Excellence for economic sanctions monitoring is part of Global Payment Operations (GPO). GPO is the central hub for Bank of America in playing a monumental and mission critical role in establishing, servicing, supporting and monitoring two of the most widely used electronic payment processing vehicles Wire and ACH in the financial services arena worldwide. GPO is also accountable for the SSCoE (Sanctions Screening Center of Excellence) that reviews all of Bank of America's customers and transactions to ensure compliance with Bank of America's Economic Sanctions Program. SSCoE serves BAML's eight lines of business, delivering global, regional and local capabilities through secure, fast and reliable technology, and people with the knowledge and experience to deliver timely and accurate review of all sanctions alerts across all products of Bank of America. Team also has the responsibility to provide support to client facing teams and clients where needed to educate on compliance program, drive better quality of data defining the customer and their day-to-day banking transactions.

There are two Models used for Sanctions Screening purposes using two different vendor products (Fircosoft & Netreveal) and all rules and detections related to creation and suppression of alerts is handled by SSCoE Filter Support team.

Responsibilities

• Primary responsibility of role is to take over the handling of all Model related activities and coordination with different stakeholders like Model Risk Management, Global Financial Crimes etc. You will be required to have a strong understanding of the model lifecycle, with demonstrable experience around model development/validation as well as model governance and frameworks.
• Understand the functionalities, limitations, and complexities of the two models and be able to represent SSCoE in all Internal governance forums / Audit meetings and Regulatory exams.
• Work with a range of senior stakeholders across various functions including the Model Development, Model Validation, Model Risk Management, Global Financial Crimes (GFC), GFC-Tech, amongst others.
• Focus on the development of strategies and operational guidelines for the organization's various financial products as they relate to the analysis, tracking, and reporting of various risk metrics.

Required Qualifications

• 8+ years of Technical, Operations, quantitative financial modelling, or data analytics experience
• Model Risk Management experience developing model risk frameworks, governance and policies, evidenced by demonstrable improvements
• Experience in Model risk appetite and Model risk measurement and management
• Ability to identify Technological implications and solutions that can affect the Model
• Proficiency in quantitative financial modelling and data analytics
• Proven ability to work within a team environment and experience managing/developing junior colleagues
• Excellent communication skills (oral and written), planning, project management, networking and influencing skills

Desired Qualifications

• Advanced degree in physics, applied mathematics, statistics / probability, or another heavy quantitative discipline
• Experience in Financial Crimes related to Sanctions or AML Compliance
• Proficiency in SQL, Python, R and/or SAS
• Broad experience in Data Analytics and interpretation of large volumes of Data
• Good logical thinking capabilities with a technical mind-set
• Advanced knowledge in using Microsoft Excel and MS Access
• Strong project management skills
• Experience in AI Model Governance

Skills

• Analytical Thinking
• Business Intelligence
• Data Modeling
• Data Visualization
• Data and Trend Analysis
• Attention to Detail
• Collaboration
• Data Management
• Data Mining
• Technical Documentation
• Consulting
• Presentation Skills
• Problem Solving
• Risk Management
• Stakeholder Management

Shift: 1st shift (United States of America)

Hours Per Week: 40