דרושים Quantitative Operations Associate - Volume Forecaster ב-Bank Of America ב-United States, Charlotte

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

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:

Job Description:

Quantitative engineers in Global Risk are responsible for designing and implementing common, reusable, and scalable software components. These components enable GRM’s data and analytical capabilities. These components can be domain independent (e.g., generic data quality tools over trillions of rows of data) or domain specific (e.g., classification models for surveillance or testing framework for Global Markets processes). Quantitative engineers work with modelers, risk managers, and technologists to understand the current state and design the future state of data and analytics. Quantitative engineers have a combination of software engineering, big data, and modeling skills and the ability to work across the entire spectrum of a big data stack – from data to logic to model to UI to UX.

Responsibilities:

• Applying quantitative methods to develop capabilities that meet line of business, risk management and regulatory requirements

• Understanding financial data: schemas, flow, size, data issues, data controls, etc.

• Building performant big data pipelines

• Use programming skills and knowledge of software development lifecycle principles to deliver high quality code for model and testing processes

• Collaborate with key stakeholders across the Bank to understand modeling and testing business processes and requirements

• Think outside the box of current industry standards to develop innovative approaches

• Maintaining and continuously enhancing capabilities over time to respond to the changing nature of portfolios, economic conditions and emerging risks

• Source and evaluate data required for modeling and testing

• Design and develop and implement models and tests

• Produce clear, concise and repeatable technical documentation models and testsfor internal and regulatory purposes

Candidates should meet all or a subset of the following technical skills:-

• Software engineering: modular code, software lifecycle processes, unit testing, regression testing

• Big data: distributed computing paradigms (e.g., mapreduce, dataframes, etc), optimizing distributed software

• Modeling / quantitative: basic modeling techniques (regression, classification, clustering, etc)

Minimum Education Requirement:

• Bachelor’s degree in Computer Science, a closely related field, or a degree from a program where software engineering was a key focus or equivalent work experience

Qualifications:

• At least 2 years of relevant experience in software engineering in Quantitative Finance or other industries

• Strong Programming skills (e.g., Python) and solid understanding of Software Development Life cycle principles

Candidates should have at least one of these following skills and preferably have at least two of these skills:-

• Strong analytical and problem-solving skills

• Experience applying quantitative methods such as modelling, data analytics, machine learning, and statistics to develop business solutions

• Experience with large scale data sets with structured or unstructured data

• Experience in building user facing applications over large amounts of data using technologies like React, Angular, JavaScript etc.

• Experience implementing process improvements and automation

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

This job is responsible for driving and executing on internal control discipline and operational excellence within a Line of Business (LOB) or Enterprise Control Function (ECF). Key responsibilities include providing analytical and administrative support for LOB or ECF specific processes and tools to drive adherence to enterprise-wide standards. Job expectations include monitoring and testing controls and implementing quality assurance and quality control processes within the LOB or ECF by evaluating data to help identify, track, and report issues and control improvements for remediation.

Responsibilities:

• Oversees the design and effectiveness of the risk and control environment to support Client Operational Services and ensure adherence to enterprise-wide standards
• Supports the monitoring and testing of controls by evaluating data to identify issues and control improvements for remediation
• Implements optimized controls and enhanced Quality Assurance (QA) practices to support business continuity efforts
• Conducts and coordinates quality inspection reviews to enhance employee performance and control effectiveness
• Performs QA activities including executing on controls, managing cases, and reporting results
• Executes initiatives by identifying areas of potential testing automation, procedural updates, thematic trends, test script updates, and coaching opportunities to enhance QA program success
• Supports the overall management of and research required for regulatory exams, internal audits, and other monitoring and inspection reviews and evaluates data and information relevant to inspection metrics to support governance activities for dashboard reporting

Skills:

• Controls Management
• Issue Management
• Monitoring, Surveillance, and Testing
• Quality Assurance
• Risk Management
• Analytical Thinking
• Attention to Detail
• Critical Thinking
• Problem Solving
• Written Communications
• Decision Making
• Innovative Thinking
• Prioritization
• Recording/Organizing Information
• Research

Key Responsibilities:

• Evaluates data and information relevant to inspection metrics to support governance activities for dashboard reporting
• Serves as an escalation point to resolve broad and complex operational issues by partneringwith operations management teammates, business leaders and subject matter experts to support business operations and business management processes
• Supports functions carrying a substantial risk of exposure and potential loss with significant impact on major corporate customer relationships
• Supports monitoring and testing of controls by evaluating data to identify issues and control improvements for remediation
• Synthesizes findings and provides actionable insights to drive resolution and prevent recurrence of delays by identifying areas of potential procedural updates, thematic trends, and coaching opportunities to enhance AML Refresh program success
• Supports the overall management of and research required for regulatory exams, internal audits, and other monitoring and inspection reviews
• Evaluates data and information relevant to inspection metrics to support governance activities for dashboard reporting
• Ensures accuracy of AML Refresh client portfolio data using internal (AWARE, Cesium, GDS) and external comparison tools
• Performs research and conducts moderately complex analysis (automated and manual) of data provided or obtained thru reporting or manual research, in a range of formats (Excel, Power BI, tableau dashboards, ect)
• Explores methods to enhance processes, further reduce risks, and improve AML Refresh process
• Creates analysis and liaises with internal partners to ensure proper client reporting and assist with regulatory reporting
• Escalates potential risks and exposures to manager in a timely manner
• Assists with ad-hoc projects, new processes, or initiatives requiring coordination among subject matter experts representing multiple product areas or functions
• Investigates root causes of production delays by engaging with AML Refresh Operations, Lines of Business (LOBs), Global Financial Crimes (GFC), and leadership
• Identify, develop, and support tactics to engage and influence stakeholders to achieve desired outcomes and/or deliverables

Required Skills:

• 24 months AML Refresh analyst experience preferred or familiar with QA, risk management, fraud management, project management and regulatory interpretation
• Ability to work in a team environment
• Exemplary verbal and written communication skills
• Experience in a process-oriented production environment with periodic changes
• Proficiency in MS Office Suite (Excel, Word, Outlook, Access)
• Strong organizational skills with the ability to prioritize and manage multiple assignments
• Ability to meet tight deadlines while ensuring data accuracy and integrity
• Self-motivated and capable of working with minimal supervision
• Attention to detail, critical thinking, and problem-solving skills
• Strong customer and client focus with adaptability and results orientation

Desired Skills:

• College degree (A.A.) or comparable work experience
• Experience working within a highly productive team in a fast-paced environment
• Strong analytical skills, with an investigative mindset and ability to use data to enhance efficiency and develop reporting to drive business insights
• Strong executive presence and presentation skills with the ability to present key messages, effective recommendations, and information in a clear, concise, insightful, and influential way
• Prior experience managing multiple projects and adjusting to changing deadlines
• Lean Sigma Six or Project Management certificates

Job Description:

Job Description:

• Primary responsibility is to prepare/review documentation in accordance with bank policies and procedures.
• Independently perform research and discuss loans with line partners with confidence and knowledge. Independently works with a range in complexity of documentation. Interfaces with company vendors, legal counsel and line partners to ensure world-class documentation accuracy.
• Maintain primary responsibility for accuracy of documentation, timely delivery of documents and elimination of controllable re-works. In all measurable categories maintains an acceptable level of errors.
• Assist Market Leader in the facilitation of team meetings, training and quality review when necessary

Responsibilities:

• Review loan documentation in compliance with bank policies and procedures.

• Independently research and discuss loan details with line partners, demonstrating confidence and subject matter expertise.

• Loan bookings of varying complexity and ensure world-class accuracy.

• Maintain responsibility for input loan bookings into SOR (System of Record) and minimize controllable rework.

• Collaborate with Client Managers, Credit and Portfolio Officers, agency management, legal counsel, and internal support units to ensure seamless transaction execution

Minimum Qualifications:

• Minimum 2 years’ experience with commercial and/or consumer loan documentation review.

• Familiarity with GFS and Loan IQ systems.

• Strong written and verbal communication skills.

• Excellent organizational and multitasking abilities.

• Detail-oriented with a high level of accuracy.

• Proficient in Microsoft Word and Excel.

• Ability to work effectively in a team environment, including with remote teammates.

Skills:

• Attention to Detail

• Legal Structures and Legal Forms

• Oral Communications

• Prioritization

• Recording/Organizing Information

• Written Communications

• Data Collection and Entry