Sr Quantitative Fin Analyst
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 Responsibilities:
Conduct quantitative analytics and complex modeling projects for specific business units or risk types.
Lead the development of new models, analytic processes, or system approaches.
Create technical documentation for related activities.
Work with Technology staff in the design of systems to run models developed.
Influence strategic direction and develop tactical plans.
Key Responsibilities:
Performs end-to-end market risk stress testing including scenario design, scenario implementation, results consolidation, internal and external reporting.
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.
Identifies continuous improvements through reviews of approval decisions on relevant model development or validation tasks.
Maintains oversight of model development and model risk management to support business requirements.
Leads and provides methodological, analytical, and technical guidance.
Works closely with model stakeholders and senior management regarding communication of submission and validation outcomes.
Performs statistical analysis on large datasets and interprets results using both qualitative and quantitative approaches.
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
Minimum Education Requirement:
Graduate degree in a quantitative discipline.
Required Skills:
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 optimized for large dataset retrieval, analysis, storage, cleansing, and transformation.
Additional experience with Hadoop HDFS, Hive, Impala preferred.
Ability 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.
Demonstrated Personal Qualities:
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 skills.
Shift:
1st shift (United States of America)
Hours Per Week:
40
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