Risk Analysis Specialist II

Charlotte, United States

Bank of America

What would you like the power to do? At Bank of America, our purpose is to help make financial lives better through the power of every connection.

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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. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day.

Being a Great Place to Work is core to how we drive Responsible Growth. This includes our commitment to being a diverse and inclusive workplace, attracting and developing exceptional talent, supporting our teammates’ physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve.

At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!

Job Description:
This job is responsible for supporting data and technology requests, complex reporting and analysis, and modeling to manage risk and minimize credit and operating losses. Key responsibilities include reviewing and analyzing portfolio trends, supporting the development of more complex databases or queries to extract data, and supporting the production of data for internal and external reporting needs. Job expectations include working with Technology to implement changes necessary to support ongoing data needs.

Responsibilities:

  • Supports the development and execution of reporting to allow Risk and business partners to effectively identify and manage risk
  • Analyzes trends and supports the data design, portfolio trends, loss trends, and portfolio dynamics to ensure alignment with business strategies
  • Provides analytical support on various product strategic initiatives affecting multiple Risk functions and lines of business to ensure company goals are met
  • Participates in the development of database production processes and performance reports for senior management, using data mining and other advanced analytical techniques to aggregate data
  • Supports with responding to complex ad-hoc requests for information from both internal and external parties
  •  Provides support on cross-functional efforts to remediate data quality issues
  •  Monitors the outputs of controls and investigates alerts from the control checks

Skills:

  • Attention to Detail
  • Business Intelligence
  • Data and Trend Analysis
  • Risk Analytics
  • Risk Management
  • Adaptability
  • Collaboration
  • Continuous Improvement
  • Data Visualization
  • Project Management
  • Business Acumen
  • Issue Management
  • Regulatory Relations
  • Stakeholder Management
  • Technical Documentation

Education and Experience:

  • 2-5 years’ experience preferred.
  • Basic understanding of Credit Risk
  • Bachelor’s degree in statistics, operations research, economics, finance, physics, or mathematics
  • Experience with Python, SAS, SQL and other related software and hardware.
  • Experience in data analysis, with strong research and analytical skills.
  • Fundamental understanding of micro and macroeconomic concepts
  • Basic understanding of Credit Risk
  • Strong interpersonal and decision-making skills
  • Strong Collaboration and Team skills
  • Demonstrated problem solving skills.
  • Effective communicator at all levels with strong oral, written & influencing skills.
  • Integrates seamlessly across complex set of stakeholders, internal partners, external resources.
  • Becomes aware and is flexible, adaptive, and proactive.
  • Knowledge of database and SQL language for Oracle, and Hive/Impala

Desired Skills:

  • Strong project management (Horizon)
  • Knowledge of Banking and Finance domain and/or experience working with model developers
  • Python programming experience, (numerical programming and data wrangling libraries)
  • Strong troubleshooting and debugging skills in Python
  • Understanding code development process steps using SDLC tools: PyCharm & Git
     

Shift:

1st shift (United States of America)

Hours Per Week: 

40
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Analyst Jobs

Tags: Banking Business Intelligence Credit risk Data analysis Data Mining Data quality Data visualization Economics Finance Git Mathematics Oracle Physics Python Research SAS SDLC SQL Statistics

Perks/benefits: Career development Flex hours Wellness

Region: North America
Country: United States

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