דרושים Officer Quantitative Finance Analyst ב-Bank Of America ב-United States, Charlotte

This job is responsible for providing moderately complex research, reporting, and analytical support for the delivery of end-to-end support for Global Markets sales, trading and underwriting business for securities, foreign exchange, fixed income, exchange traded derivatives, and over-the-counter derivatives across multiple Lines of Business. Key responsibilities include carrying out duties under general supervision and assisting teammates while following established procedures.

LOB Description:

Senior point of contact for AMRS based clients for fixed income trades processing related queries. Primary responsibility will be confirmation, allocation, and settlement of US Fixed Income products. Applicant must be on hand to offer premium client service and manage the relationships between our clients and fixed income trading desks. Up to date industry knowledge on key initiatives and developments within the fixed income market is essential. Additionally, the candidate will be responsible for:

• Resolution and escalation of matched and unmatched fixed income trades for AMRS settling in domestic markets.
• Timely response to client queries regarding the confirmation, allocation and settlement of their trades.
• Liaising with other internal departments to ensure timely settlement of client trades.
• Involvement in ad hoc projects for new processes or industry initiatives.
• Keeping up to date client contacts and maintaining current client relationships.
• Open and maintain client accounts as needed to ensure timely allocation and settlement of fixed income transactions.
  

Responsibilities:

• Maintains accuracy of client portfolio using internal and external comparison tools
• Performs research and conducts moderately complex analyses using established techniques, including transactions that require special handling and exception handling
• Explores methods to enhance processes, further reduce risks, and boost client experience
• Partners with colleagues on the trade and sales support teams, as well as external agents
• Creates reports 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

Required Qualifications:

• 1-3 years of client servicing experience
• 1-3 years of capital markets experience
• Must be client focused with proven track record of excellent communications and interpersonal skills.
• Ability to successfully navigate a complex global markets processing structure.
• Must be self-motivated and able to work independently or as part of team.
• Must be able to operate successfully in a fast paced environment and manage competing priorities.
• Must be ready to train new hires when called upon.

Desired Qualifications:

• Previous experience in a client facing role.
• Fixed Income industry knowledge
• Strives to bring new thoughts and ideas to teams in order to drive innovation and unique solutions
• Excels in working among diverse viewpoints to determine the best path forward
• Experience in connecting with a diverse set of clients to understand future business needs - is a continuous learner
• Commitment to challenging the status quo and promoting positive change.
• Participate in and drive collaborative efforts to advance tools, technology, and ways of working to better serve an evolving client base
• Believes in value of diversity so we can reflect, connect and meet the diverse needs of our clients and employees around the world

Skills:

• Attention to Detail
• Critical Thinking
• Data Collection and Entry
• Recording/Organizing Information
• Research
• Fraud Management
• Interpret Relevant Laws, Rules, and Regulations
• Problem Solving
• Quality Assurance
• Risk Management
• Adaptability
• Customer and Client Focus
• Prioritization
• Result Orientation
• Written Communications

Description Summary:

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 (CFO DM) supports other CFO Function’s needs and use cases (e.g., management and regulatory reporting). This role will be responsible for Counterparty Data within a larger data environment. Counterparty refers to the clients and other parties associated with Bank of America’s transactions. Counterparty classification is a key element in many reports.

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:

• Provide Subject Matter Expertise for Counterparty data attributes.

• Control Data consumed by CFO, including investigating and developing remediation plans for data quality issues.

• Interface with business partners on their data needs, requirements for new data requests, track and prioritize changes.

• Assist team with data analysis and ensure quality of outputs.

• Create SQL scripts and conduct user acceptance testing on new data requests.

• Collaborate across stakeholders including business reporting, product-specific data stewards, tech partners, upstream data providers/data management, and risk/compliance.

• Identify, review, and evaluate potential upstream systems to determine data sourcing strategy.

• Follow the proper risk disciplines and proactively escalate as needed.

• Adhere to Enterprise Data Management Standards and Risk Data Aggregation requirements.

Required Qualifications:

• Minimum 5 years’ of experience with data analysis within the financial industry and/or highly regulated environments

• Capacity to handle multiple tasks and work in a flexible environment.

• Ability to think and act independently, detailed oriented and organized.

• Strong communication skills and the ability to build relationships across a matrixed organization.

Desired Qualifications:

• Bachelor’s degree.

• Bank of America, Regulatory Reporting experience a plus, including applicable Bank of America platforms (e.g. WCC, CED, CESIUM, PRDS).

• Experience with Agile methodology.

• Knowledge of emerging technologies (e.g. Alteryx, artificial intelligence from a data validation/profiling perspective, etc.).

• Exposure to AML/KYC processes.

• Familiarity with transactional databases.

• Analytics experience with SQL.

• Data Management experience.

• Excellent written and verbal communication skills.

• Proficiency with Alteryx, Tableau, and SQL programming language.

• Knowledge and prior experience with Regulatory Reporting.

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 managing the end-to-end consumer mortgage referral requests primarily for Low to Moderate Income (LMI) clients in underserved markets. Key responsibilities include connecting with internal and external centers of influence (i.e. financial center partners, realtors, etc.) to originate mortgage transactions, identifying relationship deepening opportunities with clients, and facilitating the loan process from application to close. Job expectations include providing home buyer education via workshops and contacting with clients and partners virtually or in-person.
This position is subject to SAFE Act registration requirements. Pursuant to the SAFE Act requirements, all employees engaged in residential loan mortgage originations must register with the federal registry system and remain in good standing. Since this position requires SAFE Act registration, employees are required to register and to submit to the required SAFE Act background check and registration process. Failure to obtain and/or maintain SAFE Act registration may result in disciplinary action up to and including termination.

Responsibilities:

• Originates loans from multiple internal and external referral sources
• Understands the local Affordable Housing Market, Housing Assistance Programs, and experience, providing thoughtful lending solutions and guidance to Low to Moderate Income and First Time Homebuyers
• Achieves production goals as defined by the business
• Maintains a quality network of business relationships that serve as a recurring source of referrals for new mortgage lending opportunities
• Provides exceptional customer service including maintaining thorough knowledge of lending programs, policies, procedures, and regulatory requirements
• Conducts monthly Home Buyer Workshops and Business Development meetings

Skills:

• Client Management
• Customer and Client Focus
• Loan Structuring
• Oral Communications
• Referral Management
• Credit Documentation Requirements
• Learning Delivery
• Presentation Skills
• Prospecting
• Written Communications
• Active Listening
• Business Development
• Credit and Risk Assessment
• Data Collection and Entry
• Pipeline Management

High School Diploma / GED / Secondary School or equivalent

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

This job is responsible for assisting the Compliance and Operational Risk officer team to execute second line of defense compliance and operational risk oversight for a Front Line Unit (FLU), Control Function, and Third Parties. Key responsibilities include ensuring requirements of the Global Compliance Enterprise Policy, the Operational Risk Management Enterprise Policy (collectively “the Policies”), the Compliance and Operational Risk Management Program and Standard Operating Procedures are implemented. Job expectations include identifying, challenging, escalating, and mitigating risks in a timely manner to provide independent challenge to FLU processes and controls.

Responsibilities:

• Assists in assessing risks, associated controls, and their effectiveness, driving compliance with applicable laws, rules, and regulations while adhering to policies and developing reporting and documentation
• Engages in activities to provide support to the Compliance and Operational Risk teams in order to provide independent compliance and operational risk oversight of Front Line Unit or Control Function performance and any related third party and vendor relationships in alignment with the Global Compliance - Enterprise Policy, the Operational Risk Management - Enterprise Policy (collectively "the Policies") and the Compliance and Operational Risk Management Program and Standard Operating Procedures
• Supports the identification and escalation of problems or issues that arise, driving actions to address the root causes that lead to compliance risk issues and operational risk losses
• Assists in the development of independent risk management reporting for respective area(s) of coverage as input into management routines

Skills:

• Monitoring, Surveillance, and Testing
• Process Management
• Regulatory Compliance
• Reporting
• Risk Management
• Active Listening
• Attention to Detail
• Issue Management
• Policies, Procedures, and Guidelines Management
• Business Process Analysis
• Critical Thinking

Job Description:

This job is responsible for analyzing, improving, and optimizing the operations within the Transactional Foreign Exchange Remittance Transfers group. The team specializes in investigating and resolving client claims for remittance transfers in foreign currency. You will be responsible for end-to-end management of foreign currency wire investigations, break reconciliations, trade reversals, risk management and compliance reporting ensuring accuracy and timeliness according to Regulation E. TFX RT is also responsible for staying current with foreign currency updates to enhance client experience. You will work closely Front Office teams, trading desks, foreign bank partners and other line of business for wire investigations. The role will require you to identify operational inefficiencies and trends to drive process improvements and support the operations. In this role, you will also be required to use critical thinking skills to navigate gray areas within the operation in a fast paced and high-risk environment.

Required Qualifications:

• 1 year experience in foreign exchange operations, financial operations, or a similar role

• Risk and resolve experience

• Experience with Microsoft Office Suite

• Strong oral, written, and interpersonal communication skills

• Strong organizational skills

• Strong attention to detail

• Ownership and accountability for delivering high quality work

• Ability to prioritize effectively, adapt, and meet deadlines

Desired Qualifications:

• Experience with payment investigation systems: Global Investigations-Payments/Wires, Cash Manager, QZ Task, Cashpro FX

• Experience implementing process improvements and automation

• Understanding of Dodd Frank

• Demonstrates leadership, leading through change and process improvements to deliver results

Additional Skills Used:

• Controls Management

• Stakeholder Management

• Strategy Planning and Development

• Continuous Improvement

• Drives Engagement

• Influence

• Strategic Thinking

• Data and Trend Analysis

• Decision Making

• Problem Solving

• Quality Assurance

Hours 8 AM - 5 PM

Responsibilities

• Apply quantitative models and techniques in order to address and resolve concrete financial problems.
• Utilize advanced quantitative techniques and tools, such as, statistical analysis and linear regressions, as needed.
• Develop emerging risk assessments, analyze counterparty credit risk scenarios and model key risk factors.
• Conduct research and analysis to provide a micro view of risk management in a particular counterparty or country and a macro view of risk exposures for the bank.
• Assess market trends and provide quantitative data for internal stakeholders and regulators.
• Apply quantitative knowledge to specific financial challenges and regulatory projects.
• Prepare developmental evidence and document to support internal requests and external regulatory exams.
• Perform in-depth analysis on the bank’s risk model results using various quantitative tools including back testing, benchmarking, and sensitivity analysis.
• Perform counterparty exposure management techniques, such as potential future exposure, stress testing, and wrong way risk.
• Develop product-specific analytics to measure and monitor risk calculations.
• Coordinate efforts across teams and lines of business to enhance existing credit and market risk analysis tools.
• Perform quantitative modeling by utilizing advanced quantitative techniques and tools of statistical analysis, econometrics, predictive modeling, linear regressions, and Machine Learning.
• Analyze and evaluate large and complex economic and financial datasets with analytical tools of Python, SQL, and R.
• Utilize Python, PySpark, and SQL to conduct data analysis, estimate model coefficients, run simulations, and aggregate the model results to generate comprehensive model outputs and benchmarks.
• Leverage data analytics and visualization tools including Tableau, Alteryx, R, and Jupyter Notebook to build easy-access analytical capabilities and insightful reporting for the management.
• Utilize Latex to produce technical reports of publication quality with academic rigor and comprehensive risk coverage to support internal reviews and assess with stakeholders.
• Remote work may be permitted within a commutable distance from the worksite.

Required Skills & Experience

• Master's degree or equivalent in Business Analytics, Mathematical Economics, Technology (any), Engineering, Statistics or related: and
• 1 year of experience in the job offered or a related Quantitative occupation.
• Must include 1 year of experience in:
• Performing quantitative modeling by utilizing advanced quantitative techniques and tools of statistical analysis, econometrics, predictive modeling, linear regressions, and Machine Learning;
• Analyzing and evaluating large and complex economic and financial datasets with analytical tools of Python, SQL, and R;
• Utilizing Python, PySpark, and SQL to conduct data analysis, estimate model coefficients, run simulations, and aggregate the model results to generate comprehensive model outputs and benchmarks;
• Leveraging data analytics and visualization tools including Tableau, Alteryx, R, and Jupyter Notebook to build easy-access analytical capabilities and insightful reporting for the management; and,
• Utilizing Latex to produce technical reports of publication quality with academic rigor and comprehensive risk coverage to support internal reviews and assess with stakeholders.

If interested apply online ator email your resume toand reference the job title of the role and requisition number.