Senior Quantitative Financial Analyst - Consumer Credit Risk
Company: Disability Solutions
Location: Charlotte
Posted on: November 19, 2024
Job Description:
Job Description:At Bank of America, we are guided by a common
purpose to help make financial lives better through the power of
every connection. Responsible Growth is how we run our company and
how we deliver for our clients, teammates, communities and
shareholders every day.One of the keys to driving Responsible
Growth is being a great place to work for our teammates around the
world. We're devoted to being a diverse and inclusive workplace for
everyone. We hire individuals with a broad range of backgrounds and
experiences and invest heavily in our teammates and their families
by offering competitive benefits to support their physical,
emotional, and financial well-being.Bank of America believes both
in the importance of working together and offering flexibility to
our employees. We use a multi-faceted approach for flexibility,
depending on the various roles in our organization.Working at Bank
of America will give you a great career with opportunities to
learn, grow and make an impact, along with the power to make a
difference. Join us!Job Description:This job is responsible for
conducting quantitative analytics and complex modeling projects for
specific business units or risk types. Key responsibilities include
leading the 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:
- 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
- Leads 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
- Maintains and provides oversight of model development and model
risk management in respective focus areas to support business
requirements and the enterprise's risk appetite
- Leads and provides 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 approachesSkills:
- 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 CommunicationsMinimum Education Requirement: Master's
degree in related field or equivalent work experienceLine of
Business Job Description:Bank of America's Global Risk Analytics
(GRA) organization has a high impact opportunity for a Senior
Quantitative Financial Analyst within its Consumer Loss Forecasting
(CLF) team.GRA is a quantitative organization which delivers
models, tools, and analysis needed to effectively manage risk and
capital. The CLF team provides insights via credit loss forecasts
and related portfolio, model and forecast analytics for Bank's $500
billion consumer loan portfolio - which includes Mortgage, Credit
Card, Auto loan, and Consumer Banking Overdraft products. This
position will primarily focus Consumer Banking Overdraft and
Mortgage products from a forecast administration
standpoint.Forecast Administration plays a critical role in the
Bank's allowance and financial planning, enterprise stress testing,
and overall risk management activities. It requires combining
knowledge of operational management with analytical skills to
complete and enhance loss forecasting capabilities and ensure a
strong end-product for efficient stakeholder consumption.The Senior
Quantitative Financial Analyst interacts with a wide variety of
stakeholders including other loss forecast associates, model
operations, model developers, Allowance, Finance, Enterprise Stress
Testing, Risk and the Front Line Unit. The Analyst should be able
to effectively communicate complex trends impacting loss
projections, which involve concepts such as macroeconomic
environments, statistical modeling techniques and trends in
consumer financial health.The Analyst will interact with governance
partners across Model Risk Management, External Audit and Corporate
Audit to ensure policy adherence. These efforts require thought
leadership to assess and evolve control change efforts covering end
to end delivery of loss forecasts.Forecast Administration
Responsibilities:Each of the following responsibilities require
advanced analytical and quantitative capabilities along with strong
written and verbal communication skills. Being able to influence
resources from within the team or across other teams, and the
ability to quickly identify core implications and connections
within complex issues is needed in this role.--- Identifying needs
and requirements for each loss forecast submission cycle in
partnership with Allowance, inclusive of multiple economic
scenarios and forecast attributions. This includes coordinating
needed model runs with Model Execution Team and confirming
achievable delivery timelines across multiple consumer products'
forecast calendars.--- Create crisp executive-level forecast and
analytic content for stakeholder Loan Loss Working Group meetings.
This includes creating commentary to effectively explain trends,
analyze loss projections, portfolio credit quality, and ensure loss
forecast reasonability.--- Assessing loss model historical
back-testing by component to facilitate recommended forecast
adjustments. This includes presenting adjustment rationale to
stakeholders, obtaining buy-in from partners, and collaborating
with model development partners to address existing or emerging
model limitations.--- Drive analytics pipeline covering model
performance and consumer financial health.--- Collaborate across
teams to ensure forecast, analytics, model control needs are
met.--- Assist with Corporate Audit, External Audit, and quarterly
SOX requirements execution and testing, which includes review and
challenge evidence for each cycle, process flow and other
governance documentation requirements.--- Lead process operational
excellence efforts to adopt a similar infrastructure as exists for
Mortgage or Card products. This may include participating in the
model build process, providing guidance on required MIS, analyzing
output, and partnering across GRA technical teams to drive
strategic deployment.Required Skills:
- Strong written and oral communication skills, with the ability
to cater to both technical and executive audiences
- Graduate degree in quantitative discipline (e.g., Mathematics,
Economics, Engineering, Finance, Physics)
- 8+ years of experience in model development, statistical
methods, forecast methods, data analytics, or quantitative
research
- Experience in Risk, Credit, Collections or Financial Operations
with demonstrated track record of generating and communicating
insights which improve performance and understanding
- History of driving change and advancing the status quo via
strategic thinking across forecasting, analytics, or automation of
operations and controls
- Attention to detail coupled with ability to simplify the
complex
- Experience in data science and analysis, with strong analytical
skills
- Demonstrated ability to organize and work collaboratively
across multiple teams and functions
- Flexibility to work independently with little supervision in a
complex team environment
- Proficiency with Tableau, MS Word/Excel/PowerPointDesired
Skills:
- Proven analytical ability and problem solving skills
demonstrated through banking experience related to loss
forecasting, analytics and operations with ability to pro-actively
lead
- Experience meeting with internal or external bank examiners and
responding to questions and required actions in a timely
manner
- Previous demonstrated strong leadership or project management
experience
- Consumer behavior analytics or risk modeling in a financial
institution
- Programing skills (SQL, Python, R, LaTeX)
- Experience with CECL, DFAST, CCAR forecast
methodologiesShift:1st shift (United States of America)Hours Per
Week: 40
Keywords: Disability Solutions, Greensboro , Senior Quantitative Financial Analyst - Consumer Credit Risk, Professions , Charlotte, North Carolina
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