דרושים Leveraged Finance Associate Category Investments ב-Us Bank ב-United States, North Carolina

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

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

This job is responsible for conducting quantitative analytics and complex modeling projects for specific business units or risk types. Key responsibilities include leading the implementation and development of new models, analytic processes, or system approaches, creating technical documentation for related activities, and working with Technology staff in the design of systems to run models developed. Job expectations may include the ability to influence strategic direction, as well as develop tactical plans.

Responsibilities:

• Turn modeler code into a highly scalable big-data production application

• Identify 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

• Lead and provide 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

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

• Perform analysis on large datasets and interpret results using both qualitative and quantitative approaches

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

Required Skills and Experience:Successful candidates will have a minimum 10 years relevant experience and will possess the following skills:

• Advanced big data software development skills in both python and spark

• Deep expertise in Loss and Risk Forecasting Automation: odds calculations, cash flow calculations, model monitoring, back testing, reporting, etc.

• Sees the broader picture and can identify new methods for doing things

• Experience with Linux operating system and command line tools

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

• Understanding of algorithms and data structures

• 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

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

• Ability to work in a highly controlled and audited environment

Desired Skills and Experience: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:

Merrill is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations.

This job is responsible for providing client service support to potentially multiple Financial Advisors (FAs). Key responsibilities include supporting enterprise strategic objectives, operational excellence goals, and client advocacy within the FA's business, while customizing solutions based on their specific needs. Job expectations include serving as the most frequent point of contact within Merrill to address all service needs of their clients.

Responsibilities:

• Provides excellent Client Service to the bank's clients through educating them on all of the bank's service and banking offerings
• Ensures timeliness, accuracy, and completeness in client materials and follows up on all client and Financial Advisor (FA) requests
• Assists with ensuring practices are in alignment with the bank's policies and procedures to support operational excellence, protect the bank's clients, and manage risk
• Identifies, deepens, and maintains client relationships through emphasizing the bank's offerings and promoting incorporation of banking into day-to-day practices, while communicating outputs to the FA
• Supports day-to-day team activities and needs including covering roles in times of absence or seasonal need increases, while leading with a client first mindset

Skills:

• Account Management
• Client Management
• Customer and Client Focus
• Issue Management
• Oral Communications
• Business Development
• Client Solutions Advisory
• Pipeline Management
• Prioritization
• Administrative Services
• Emotional Intelligence
• Referral Identification
• Written Communications

Minimum Education Requirement:High School Diploma / GED / Secondary School or equivalent

• For internal employees; participation in a work from home posture does not make you ineligible to post, however, may require to meet the workplace excellence policy.

Job Description:

Job Description:

Merrill is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations.

This job is responsible for providing client service support to potentially multiple Financial Advisors (FAs). Key responsibilities include supporting enterprise strategic objectives, operational excellence goals, and client advocacy within the FA's business, while customizing solutions based on their specific needs. Job expectations include serving as the most frequent point of contact within Merrill to address all service needs of their clients.

Responsibilities:

• Provides excellent Client Service to the bank's clients through educating them on all of the bank's service and banking offerings
• Ensures timeliness, accuracy, and completeness in client materials and follows up on all client and Financial Advisor (FA) requests
• Assists with ensuring practices are in alignment with the bank's policies and procedures to support operational excellence, protect the bank's clients, and manage risk
• Identifies, deepens, and maintains client relationships through emphasizing the bank's offerings and promoting incorporation of banking into day-to-day practices, while communicating outputs to the FA
• Supports day-to-day team activities and needs including covering roles in times of absence or seasonal need increases, while leading with a client first mindset

Skills:

• Account Management
• Client Management
• Customer and Client Focus
• Issue Management
• Oral Communications
• Business Development
• Client Solutions Advisory
• Pipeline Management
• Prioritization
• Administrative Services
• Emotional Intelligence
• Referral Identification
• Written Communications

High School Diploma / GED / Secondary School or equivalent