Senior Data Analyst (Securities Reference data)

Bank of America•Charlotte, NC

1d•Onsite

About The Position

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day. Being a Great Place to Work is core to how we drive Responsible Growth. This includes our commitment to being a diverse and inclusive workplace, attracting and developing exceptional talent, supporting our teammates’ physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve. At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us! This job is responsible for ensuring operational data is fit for purpose, defining controls, and monitoring processes are in adherence to enterprise data management standards. Key responsibilities include triaging and remediating data incidents, performing data analysis, training new users, and performing impact analysis stemming from data updates. Job expectations include helping in defining access and ownership of data by domain, conducting quality control, and overseeing data maintenance. The Securities Reference Data Team provides subject matter expertise on information that is joined to product transactional data, such as customer / counterparty, product attributes, and ledger data. The team acts as a bridge between technical data teams and business functions to expand and improve reporting, forecasting, and analytics. This role is responsible for securities and book reference data namely various Security IDs such as ISIN and CUSIP, Security Descriptions, Security Classifications such as High Quality Liquid Assets and Collateral Class, Issuer/Guarantor data, Coupon Rates, Country info, Index/Exchange Listing info, Issue date/Maturity date, etc. Works under minimal supervision on enterprise-wide projects requiring creative data solutions.

Requirements

Bachelor’s in accounting/finance/business or related fields
Data management/analysis, database, and/or securities product expertise within the financial industry (preferred)
Business acumen; ability to bridge business and technical topics
Strong partnering and communication abilities
Able to self-direct/prioritize tasks, detailed-oriented, organized, self-initiated
Curious and independent thinker with a continuous improvement mindset
Ability to understand waterfall dataflows/logic, set theory, and other related dataflows helpful
Proficient with Bloomberg, SQL, and Excel (Preferred)

Nice To Haves

Bank of America and Finance or Middle Office experience
Familiarity with securities & book data and Bank of America platforms (PME, Bookmap)
Exposure to data & project management (including Agile methodology, JIRA)

Responsibilities

Ensures data is accurate, complete, and fit for performing data analyses through various testing procedures and data controls which help to identify business insights fit for purpose for a particular product set
Develops and executes on Enterprise Data Management policies and standards, works across teams to ensure adherence, serves as a key point of contact for all topics related to data compliance, and manages operational elements of the (Enterprise Data Strategy Governance and Operations (EDSGO) relationship
Manages data related incidents and identifies, communicates, and resolves or escalates issues as needed. Data inquiries include questions related to data issues, availability of data, and potential sourcing alternatives to inform
Develops, manages, and executes on controls, ensuring tracking, monitoring, and resolution of any control breaches with data platform
Partners with Business and Technology functions to drive the development of business and functional requirements documents and ensures strategic upstream resolution for data related incidents
Subject Matter Expertise – develop and leverage knowledge of securities, book data, Bloomberg and SQL to support CFO DM & Line of business data needs
Relationship Management – build and maintain relationships, including across Lines of business, technology, project management, and risk/compliance/audit; work closely as a liaison between developer/software engineering teams and Line of Business users