דרושים Markets Support Analyst - Fed Settlements ב-Bank Of America ב-United States, Charlotte

Job Description:

Job Description:

This job is responsible for influencing and driving optimal bank-wide liquidity strategies by Lines of Business (LOBs) and legal entity in business as usual (BAU) and stress scenarios. Key responsibilities include overseeing and influencing liquidity utilization across the organization and providing input into process and control designs, operational risk mitigation, issue management, automation, and other initiatives across the bank.

Responsibilities:

• Measures, analyzes, monitors, and reports on the bank's spot and forecasted liquidity position, provides guidance to business units to improve liquidity position, and supports regulatory and management liquidity reporting.
• Oversees processes, risks, and controls and tracks and monitors issues to ensure adherence with policies, risk standards, and compliance with internal and regulatory liquidity reporting requirements.
• Partners with other Lines of Business (LOBs) to determine limits, guidelines, and direction, ensuring alignment with overall business objectives and the bank's risk framework.
• Monitors liquidity risk trends relating to business activities and correlations between business drivers and liquidity usage and builds out enhanced liquidity reporting.
• Streamlines reporting processes and builds out analytic capabilities using emerging technology (e.g., Alteryx, Tableau, etc.)
• Provides input into monthly and quarterly reporting, disclosures, and presentations for Risk Committees, Board of Directors, and enterprise and local regulators.

Required Qualifications:

• 2+ years of industry experience working with financial products.
• Energetic and self-motivated. Candidate should have a strong intellectual curiosity.
• Strong quantitative background including excel modelling.
• Excellent communication skills – both written and verbal
• Ability to drive project goals across functions with minimal oversight.
• Analytical Thinking
• Financial Forecasting and Modeling
• Attention to Detail

Desired Qualifications:

• Prime Brokerage, derivatives or secured funding (either regulatory, reporting or business)
• Working knowledge of regulatory liquidity framework

Skills:

• Analytical Thinking
• Financial Forecasting and Modeling
• Liquidity Management
• Regulatory Compliance
• Reporting
• Attention to Detail
• Benchmarking
• Data and Trend Analysis
• Financial Analysis
• Scenario Planning and Analysis
• Business Acumen
• Financial Management
• Monitoring, Surveillance, and Testing
• Policies, Procedures, and Guidelines
• Risk Management

Job Description:

Job Description:

The
Data Operations Analystsupports the Service Asset Configuration Management (SACM) Operations team which is responsible to ensure the assets (hardware/software) required to deliver services are properly controlled, and that accurate and reliable information about those assets are available when and where it is needed. The SACM Operations team provides reporting and operational capability for managing the inventory within the CMDB; including management of the Remedy internal product catalog.

This job is responsible for developing and delivering data solutions to accomplish technology and business goals and initiatives. Key responsibilities include performing code design and delivery tasks associated with the integration, cleaning, transformation, and control of data in operational and analytical data systems. Job expectations include working with stakeholders and Product and Software Engineering teams to aid with implementing data requirements, analyzing performance, and researching and troubleshooting data problems within system engineering domains.

Responsibilities:

• Manage workorder queue for asset management activities within the CMDB.
• Perform analytical analysis and assessments of data integration sources into the Master Data Warehouse
• Perform and communicate data consistency and accuracy assessments across key IT infrastructure SORs
• Drive future data standardization and quality measurements based on analysis outcomes
• Works across development teams to contribute to the story refinement and delivery of data requirements through the delivery life cycle
• Leverages architecture components in solution development, codes solutions to integrate, clean, transform, and control data in operational and analytical data systems per acceptance criteria
• Builds processes supporting data transformation, data structures, metadata, data quality controls, dependency, and workload management and defines and builds data pipelines and complex data sets to enable data-informed decision making, identifying and raising risks at all stages of the data engineering process
• Develops and executes test plans to produce quantitative results, contributes to existing test suites including integration, regression, and performance, analyzes test reports, identifies test issues and errors, and triages underlying causes
• Drives complex information technology projects to ensure on-time delivery and adheres to team delivery and release processes
• Identifies, defines, and documents data engineering requirements, communicating required information for deployment, maintenance, support, and business functionality
• Works with technology partners and a diverse set of stakeholders to identify and close gaps in data management standards adherence, negotiates paths forward, and helps identify and communicate solutions to complex data problems leveraging knowledge of information systems, techniques, and processes

Required Qualifications

• 3+ years Experience in Data Analysis or Data Integration
• SQL skills against industry standard DBMS (Cloudera, IBM, Trino, Oracle, SQL Server)
• Experience with problem management and ability to dive into root cause analysis.
• Experience with Data quality issues and development of metrics to support improvement of the data quality
• Basic technology knowledge with regards to terminology and database methodology.
• Strong interpersonal and business skills to achieve cooperation/coordination of multiple tasks being performed
• Ability to communicate effectively to multiple levels in technology organization
• Ability to effectively deal with multiple deadline-driven, customer-sensitive projects and tasks
• Strong time management and task prioritization skills
• Ability to communicate clearly and concisely verbally and in writing
• Ability to work with Senior management both on the Technology as well as Business
• Ability to assess and suggest changes to the Master Model over time
• Ability to provide input to reporting and integration requirements

Desired Qualifications

• ServiceNow ITSM experience
• ITIL 4
• Bachelor's degree in Technology from an Accredited University

Skills:

• Analytical Thinking
• Application Development
• Data Management
• Agile Practices
• Collaboration
• Decision Making

Skills:

• Attention to Detail
• Collaboration
• Data Governance
• Data Quality Management
• Risk Management
• Adaptability
• Controls Management
• Negotiation
• Problem Solving
• Result Orientation
• Change Management
• Continuous Improvement
• Data Management
• Presentation Skills
• Stakeholder Management

Line of Business Job Description:

Global Risk Management (GRM) leads bank-wide initiatives for management of all aspects of risk, including strategic, market, credit, compliance, liquidity, operational, model and reputational risk matters to support sustainable, profitable corporate growth.Job Description
This role will collaborate with the GRM Data Stewards, Data Users, Data Owners, and Technology Teams to understand and assess their data, processes, and technology to support strategic data initiatives, remediate deficiencies, and drive business requirements.

• Consult with data stewards, process owners, subject matter experts, technical experts, end users and other stakeholders to gather information about the current and target state business process, data attributes and data sources, control features, interfaces with other systems required.

• Document and provide definitions for processes and procedures, data models, data quality controls, data lineage, and data dictionaries using industry standard methods including business process descriptions, use cases, scenarios, diagrams, flow charts, etc.

• Analyze information gathered from multiple sources, reconcile conflicts, segment high-level information into details, and abstract up from low-level information to a general understanding.

• Assess and identify deficiencies against internal policies and standards or industry best practices, providing formal recommendations and requirements to remediate.

• Collaborate and partner with technology teams, architects, and other key stakeholders to drive solutions which provide ongoing operational excellence and resiliency to metadata and control environment challenges.

• Review and provide input to technical solution designs from a business point of view and recommend alternatives.

• Communicate plans, progress and risks appropriately to the stakeholders and sponsors.

Required Skills:

• Bachelors or Masters in computer science, system analysis, Information Systems or related field.

• 1-3+ years of experience with Data Sourcing, Data Wrangling, Data Engineering or similar role

• Strong process/systems analysis, design and documentation.

• Strong analytical, critical thinking, and problem-solving skills.

• Ability to monitor tight deadlines and adapt to unexpected requirement changes.

• Strong Understanding of Risk Management and Data Management Principles

Desired Skills:

• Familiarity with one of the following areas – Trading, Consumer Banking, Wealth Management, Transaction Banking

• Understanding or experience of programming in SQL, C/C++, Java

• Familiarity with databases, such as Oracle, Hadoop, etc.

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.

Responsibilities:

• Primary responsibility is to create / update business rules to minimize the false-positive Sanctions alerts to improve efficiency and effectives of the CoE’s alert review process.
• Manage the multiple on-going initiatives by attending calls from various projects, understand the Sanctions needs from the projects, Provide requirements to the projects and track the status of these projects.
• Analyze alerts on a daily basis to chalk out strategies to reduce the false-positives, using different pattern matching and trending techniques
• Assist in on-boarding new applications / Clients into the Sanctions screening platform requiring detailed discussions with various lines of businesses in understanding the nature and type of data received from and assist in data mapping into standard formats acceptable for Sanctions screening
• Ability to query & analyze the data required for ad hoc requirements on the fly and generate reports for the team to use.
• Work with technology teams for requirements / testing and implementing changes to improve / automate CoE processes
• 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

Required Qualifications:

• Bachelor's degree in Computer Science, Data Management, Statistics or related fields
• Intermediate knowledge in SQL and using tools like TOAD
• Awareness of AI / Machine learning concepts and ability to implement such strategies
• Experience in data analytics and interpretation of large volumes of data
• Scripting experience with any language like Python, Java, VB

Desired Qualifications:

• Experience in Sanctions / AML processes
• Data transformation / formatting experience and able to work with data in different formats
• Knowledge of Economic Sanctions programs requirements
• Experience in Global Banking & Markets business process
• Experience in Sanctions screening applications like Fircosoft
• Logical thinking capabilities with a technical mind-set
• Advanced knowledge in using Microsoft Excel and MS Access
• Knowledge in using Microsoft products Word, Outlook, Power-point and Visio
• Knowledge of PowerBI /Tableau
• Ability to prioritize, use own initiative, make quick decisions, be flexible and work independently
• Ability to work remotely, with teams spread globally, under pressure, meet deadlines and navigate change
• Ability to work and interact with people from a diverse range of backgrounds and opinions

Skills:

• Data Collection and Entry
• Data Management
• Data Modeling
• Issue Management
• Policies, Procedures, and Guidelines Management
• Analytical Thinking
• Collaboration
• Data Governance
• Data Quality Management
• Data and Trend Analysis
• Business Acumen
• Controls Management
• Production Support
• Regulatory Compliance
• Solution Design

Job Description:

Responsibilities include day-to-day analysis, research and resolution of varied problems including receiving 50+ calls per day. Functions include administering defined procedures, analysis and report generation, and exception processing. Coordinates the implementation of products/services and operational solutions. May assist in designing, documenting, implementing, and monitoring of new products/services. Provides guidance to associates within own unit regarding procedural, technical and/or operational changes. Incumbents have full working knowledge of operations environment acquired through experience in an operations environment and on the job training.

Minimum Required Skills:

• Highly organized with strong attention to detail

• Experience receiving calls throughout the business day, up to 50+ calls per day

• Typing and Data entry experience

• Client facing experience

• Excellent time management and prioritization skills, with ability to meet deadlines under pressure

• Excellent oral and written communication skills

• Exceptional Customer Service experience

• Experience with working independently and on teams

• Experienced with Microsoft Office Suite, especially Excel

• Experienced with managing multiple priorities and multi tasks

Desired Skills:

• Expert level Excel experience

• Working knowledge of payment investigations systems

• Financial industry experience

• Business, Finance, Accounting, Economics, or similar major preferred

This job is responsible for conducting quantitative analytics and modeling projects for specific business units or risk types. Key responsibilities include developing new models, analytic processes, or systems approaches, creating technical documentation for related activities, and working with Technology staff in the design of systems to run models developed. Job expectations include having a broad knowledge of financial markets and products.

Responsibilities:

• Performs end-to-end market risk stress testing including scenario design, scenario implementation, results consolidation, internal and external reporting, and analyzes stress scenario results to better understand key drivers

• Supports the planning related to setting quantitative work priorities in line with the bank’s overall strategy and prioritization

• Identifies continuous improvements through reviews of approval decisions on relevant model development or model validation tasks, critical feedback on technical documentation, and effective challenges on model development/validation

• Supports model development and model risk management in respective focus areas to support business requirements and the enterprise's risk appetite

• Supports the methodological, analytical, and technical guidance to effectively challenge and influence the strategic direction and tactical approaches of development/validation projects and identify areas of potential risk

• Works closely with model stakeholders and senior management with regard to communication of submission and validation outcomes

• Performs statistical analysis on large datasets and interprets results using both qualitative and quantitative approaches

Overview of Global Risk Analytics (GRA) and Enterprise Independent Testing (EIT)

Bank of America Merrill Lynch has an opportunity for a Quantitative Financial Analyst within our Global Risk Analytics (GRA) function. Global Risk Analytics (GRA) and Enterprise Independent Testing (EIT) are sub-lines of business within Global Risk Management (GRM). Collectively, they are responsible for developing a consistent and coherent set of models, analytical tools, and tests for effective risk and capital measurement, management and reporting across Bank of America. GRA and EIT partner with the Lines of Business and Enterprise functions to ensure the capabilities it builds address both internal and regulatory requirements, and are responsive to the changing nature of portfolios, economic conditions, and emerging risks. In executing its activities, GRA and EIT drive innovation, process improvement and automation.

Overview of Consumer Model Development

The Consumer Model Development & Operations (CMDO) team is part of Global Risk Analytics. It provides quantitative solutions to enable effective risk and capital management across the Retail and Global Wealth & Investments Management (GWIM) lines of business. The team places strong emphasis on delivering world class quantitative solutions for Front Line Unit (FLU) model owners and stakeholders through a disciplined and iterative development process. The team has responsibilities across a number of areas:

• Quantitative Modeling – Develop and maintain risk and capital Models and Model Systems across Retail and GWIM product lines. Models and Model Systems provide insight into many risk areas, including loan default, exposure at default (EAD), loss given default (LGD), delinquency, prepayment, balances, pricing, risk appetite, revenues and cash flows.

• Quantitative Solutions Engineering – Architect, implement, maintain, improve and integrate quantitative solutions on strategic GRA platforms. Outputs include GRA libraries that perform consumer risk model calculations, analytical tools, processes and documentation. Partner in defining, adopting, and executing GRA’s technical strategy.

• Risk and Capital Management Capabilities – Build best in class quantitative solutions that enable the Retail and GWIM lines of business to effectively manage risk and capital, through the application of the disciplined BAU development process that includes extensive interaction with the FLU model owners and stakeholders throughout the quantitative lifecycle.

• Infrastructure – Partner in driving forward the infrastructure to support the goals of GRA through code efficiencies, and expansion of quantitative capabilities to better leverage infrastructure and computational resources.

• Documentation – Deliver concise, quantitative documentation to inform stakeholders, meet policy requirements, and enable successful engagement in regulatory exams (e.g., CCAR, CECL) via automated, modularized, and standardized documentation and presentations.

The Quantitative Finance Analyst will interact with a wide variety of stakeholders including risk managers, model developers, operations, technology, finance, and capital.
The main responsibilities will involve:

• Software development: implement, maintain, improve and integrate quantitative solutions on strategic GRA platforms. Development takes place almost entirely in Python, with some C++ for high performance components.

• Maintain code quality through best practices, unit testing and code quality automation.

• Understand the whole product, its modules, and the interrelationship between them, while being an expert in the assigned component or module.

• Possess advanced domain knowledge and show great customer focus. Leverage skills in methodologies and build, release, and deployment processes.

• Partner in defining, adopting, and executing GRA’s technical strategy.

• Identify and apply new software development techniques to support enhanced granularity of risk management capabilities. Employ elevated intellectual curiosity and an acute sense of innovation.

• Elevated intellectual curiosity with acute sense of innovation to identify and apply new statistical and econometric techniques to support enhanced granularity of risk management capabilities

• Articulating the overall holistic picture of model performance, with clear conclusions regarding accuracy and remediation areas as required

Minimum Education Requirement:Master’s degree in related field or equivalent work experience

Required Qualifications:Successful candidates will have a minimum 5 years relevant experience and will possess the following skills:

• Strong Python software development skills

• Familiar with software design principles: separation of concerns, single responsibility, DRY, etc.

• Understanding of algorithms and data structures

• Experience with Linux operating system and command line tools

• Experience with version control systems, i.e., Git

• Knowledge of SQL

• Strong communication skills and ability to effectively communicate quantitative topics to technical and non-technical audiences

• Strong team player able to seamlessly transition between contributing individually and collaborating on team projects; Understands that individual actions may require input from manager or peers; Knows when to include others

• Experience implementing models into various production environments

• Demonstrated leadership skills; Ability to exert broad influence among peers

• Strategic thinker that can understand complex business challenges and potential solutions

• Sees the broader picture and is able to identify new methods for doing things

• Ability to work in a large, complex organization, and influence various stakeholders and partners

• Ability to work in a highly controlled and audited environment

• Exceptional programming skills in high performance python

• Exceptional Terabyte-scale Spark programming and optimization

Desired Qualifications:The ideal candidate will possess the following skills and experience:

• GRA Core Platform (GCP) experience

• Familiar with systems architecture concepts: service based, layered, microservices, scalability patterns

• Experience with engineering complex, multifaceted processes that span across teams; Able to document process steps, inputs, outputs, requirements, identify gaps and improve workflow

• Experience creating, optimizing, and debugging software solutions deployed into distributed computing environments (experience with Spark is a plus)

• Familiar with use of vectorization and data locality concepts to optimize software efficiency

• Experience with high performance Python libraries, i.e., Numpy, Numba, Cython

• Experience with LaTeX

• Familiarity with SDLC tools: unit testing libraries, Jira, Jenkins

• Consumer Financial Product Industry experience

Skills:

• Critical Thinking

• Quantitative Development

• Risk Analytics

• Risk Modeling

• Technical Documentation

• Adaptability

• Collaboration

• Problem Solving

• Risk Management

• Test Engineering

• Data Modeling

• Data and Trend Analysis

• Process Performance Measurement

• Research

• Written Communications

Job Description:

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.

CFO Data Management Traded Products - Derivatives Focus Subject Matter Expert. The position will require extensive ad hoc research and commentary for outliers impacting regulatory reporting. Successful candidates will partner with Technology and the LOBs to ensure data accuracy and completeness, identify data gaps, and work closely with business partners to define strategies for technical solutions. Work closely with developers and testers to ensure requirements and functional designs are translated accurately into working technical designs and that test plans and scripts serve customer needs. Works under minimal supervision on enterprise-wide projects requiring creative solutions.

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

Additional Responsibilities:

• Manages current state assessment of legacy data across legacy systems with an eye towards migration to strategic target state.
• Performs attribute recons for derivatives and collateral positions across multiple platforms and products.
• Liaises with Treasury LOBs and Technology Teams to provide commentary of material differences.
• Works with internal business lines to support ongoing initiative work and ad hoc research requests.
• Tests new data populations as they are added to the reporting database.
• Enhances existing controls to address changes to data populations.
• Assists in development of strategy / approach for Data Management Process Documentation project.
• Supports ad hoc initiatives and projects for CFO Data Management.

Required Qualifications:

• Minimum 4 years of experience of data analysis, testing data integrity and implementing controls.
• Advanced Excel or SQL skills.
• Extensive knowledge of derivatives (OTC, Cleared and ETD).
• Ability to understand and explain PNL movements and substantiate data to the Balance Sheet / General Ledger.
• Experience with providing supporting for regulatory reporting, submitting data for senior level management reporting, or similar types of reporting.
• Innovative team player who can generate new and creative ideas to complex problems.
• Being curious and thoughtful. Digging into the data to find nuggets of information independently and without prompting is a key element for success in this position.

Desired Qualifications:

• Experience working with Global Market or Corporate Treasury platforms.
• Bachelor's Degree or equivalent experience.

Skills:

• Data Collection and Entry
• Data Management
• Data Modeling
• Issue Management
• Policies, Procedures, and Guidelines Management
• Analytical Thinking
• Collaboration
• Data Governance
• Data Quality Management
• Data and Trend Analysis
• Business Acumen
• Controls Management
• Production Support
• Regulatory Compliance
• Solution Design