Senior Data Scientist
Company: Disability Solutions
Location: Charlotte
Posted on: November 9, 2024
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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!Overview of Global Risk Analytics (GRA) and
Enterprise Independent Testing (EIT)Bank of America Merrill Lynch
has an opportunity for a Senior Data Scientist 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 RiskConsumer Risk
is primarily responsible for:--- Oversight and delivery of key
regulatory reviews such as the Current Expected Credit Losses
(CECL) accounting standard and the Comprehensive Capital Analysis &
Review (CCAR), as well as other strategic initiatives, including
data and infrastructure development and maintenance--- Planning and
delivery of a coherent model risk management framework and
infrastructure across Consumer. These efforts include the
development of one universal platform for seamless model
development and implementation, and improvements to the quality and
consistency of the data sourced for all development and production
purposes--- Developing and maintaining risk and capital models and
model systems across Consumer product lines. Models and model
systems provide insight into various risk areas, including loan
default, exposure at default (EAD), loss given default (LGD),
delinquency, prepayment, balances, pricing, risk appetite, revenues
and cash flows--- Developing and implementing quantitative
solutions on strategic Consumer Risk platforms. Outputs include GRA
libraries that perform consumer risk model calculations, analytical
tools, processes and documentation--- Conducts research and
analysis to improve understanding and assessment of loan
portfolios, models used, and forecast results--- Partners with
Consumer lines of business, and front line Risk, Allowance, and
Finance teams to ensure consistency and appropriateness of the
team's various processesOverview of the RoleAs a Senior Data
Scientist on the Consumer Risk team, your main responsibilities
will include:--- Managing a portfolio of data intensive operational
processes that span multiple complex technologies and
infrastructures--- Building and running operational processes,
across large complex multi-sourced data, often on a wide range of
quantitative models using applications and coding based
solutions--- Managing and monitoring controls across model
execution and / or the sourcing and provisioning of complex data
for multiple end-users --- Managing cycle-over-cycle executions and
shaping the strategic direction of operations in a highly regulated
environment--- Contributing to implementation of new models along
new model life cycle--- Interacting with multiple stakeholders to
drive consistent on-time delivery of well-considered and thorough
solutions, often with short delivery times --- Providing regular
updates to various stakeholders and senior leadersRequired
Skills--- Graduate degree in a quantitative discipline--- 7+ years
of experience in model development, model validation, statistical
work, data analytics or quantitative research--- Intermediate to
advanced experience with data structures, relational databases and
SQL--- Intermediate to advanced programming skills in Python, R, or
SAS--- Experience building data architecture that is optimized for
large dataset retrieval, analysis, storage, cleansing, and
transformation--- Additional experience with Hadoop HDFS, Hive,
Impala preferredAbility to manage and deliver:--- Cycle-over-cycle
operational processes across data provisioning, and model
performance monitoring--- Close collaboration with change agents
driving operational excellence through strategic change--- Process
execution while complying with various policies and regulations---
Code development and programming with tools such as Python,
PySpark, SQL, Hadoop, Hive to develop new capabilities that meet
line of business requirementsStrong operations management skills
and techniques, including:--- Expert in the management of the full
project life cycle - from inception to full technical and process
implementation--- Expert in operating in a business and technical
environmentDemonstrated personal qualities including:--- Strong
understanding of process controls and safeguards--- Confident
self-starter--- Quick learner and intellectually curious--- Strong
communication skills, both oral and written--- Strong team player,
able to lead and follow--- Strong analytical and problem-solving
skills--- Strong influencing skillsDesired Skills--- Experience
working with and or delivering complex data structures and
processes--- Experience working for a financial institution;
knowledge of retail banking products, services, processes, and
systems--- Experience with data analytics / software development
lifecycle tools (i.e. Alteryx, Tableau, Horizon / JIRA, etc.)---
Experience with Linux/Unix and shell scripting--- Ability to
deliver large scale projects involving changes to analytical
processes, quantitative models, complex technology platforms, and
analytical toolsJob Description:Responsible for enabling analysis,
modeling, and optimization through producing information products.
Actively involved in the research and development efforts. Primary
requirement is not related to traditional programming or systems
analysis skills but to the ability to create sophisticated,
value-added analytic systems that support revenue generation, risk
management, operational efficiency, regulatory compliance,
portfolio management, and research. These systems must overcome
issues of complex data (e.g., VLDB, multi-structured, big data,
etc.) as well as deployment of advanced techniques (e.g., machine
learning, text mining, statistical analysis, etc.) to deliver
insights. Responsible for adoption of enterprise information
products through clearly communicating how enterprise information
products answer material banking questions leading to decisions and
actions. This role often possesses an advanced degree in hard
science or another heavy quantitative business or social
discipline. Able to lead or work independently on complex projects
and influence strategic direction.Skills:
Keywords: Disability Solutions, Charlotte , Senior Data Scientist, Accounting, Auditing , Charlotte, North Carolina
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