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Client Protection Fraud Strategy Analyst II or III

Bank of America | Newark DE 19711 USA | Full Time | Posted: 10/11/2019

Job Descriptiontop

Job Description:

The Client Protection Organization is looking for experienced analytical professionals to join our growing team. We have junior and senior roles on several teams including strategy development, data science, model governance and authentication.

We are looking for smart, energetic candidates with strong technical backgrounds, a great sense of urgency and an excellent approach to teamwork. We do not require you to have a background in fraud, and while this is advantageous, we can teach you what you need to know as long as you have the right technical skills.

Roles will include some of the following work, depending on the specific job/team:

  • Development of new fraud strategies using statistical and analytical techniques including decision trees, random forests and other quantitative methods. Goal will be to identify and mitigate new and emerging fraud threats with an eye toward maximum fraud prevention and reducing false positives and negative client experience
  • Partnering with technology and business partners to implement new technology and new products, ensuring fraud risks are controlled
  • Optimization of existing detection strategies to determine areas where rules can be adjusted to declined fewer false positives and improve the ROI and overall performance of our fraud strategies.
  • Identifying new sources of data (internal or vendor-provided) that can enrich our existing fraud detection processes, be added to our decision systems, and allow for new detection strategies to be developed
  • Analysis of our fraud models to assess performance and effectiveness and making recommendations to continue using or redevelop these models
  • Assisting with the optimization of authentication using data-driven, analytically based approaches. Successful candidate will work across diverse channels, products, and fraud types to build strategies for optimal authentication that balances effectiveness, coverage, customer experience, and resource constraints.
  • Data science type work including advanced strategy development, machine learning, and other quantitative work
  • Development of both ad-hoc and more standardized reporting (MIS)

Responsible for performing more complex analysis and modeling for multiple products with the goal of maximizing profits and asset growth and minimizing risk and operating losses and/or other financial and marketing exposures. Develops complex program models to extract data and uses multiple databases to acquire statistical and financial data. Utilizes portfolio trends to propose policy/procedural changes within segmentation structure to produce optimal results. Excels at risk/reward trade off. Build relationships with external agencies. Participates in the rollout of company-wide pilot programs developed as a result of programmed models. Duties primarily include the regular use of discretion, independent judgment, the ability to communicate with multiple levels of management and the utilization of core leadership behaviors. SAS and/or MicroStrategy experience preferred; 2-5 years experience preferred.

Position may be filled as an Analyst II or III depending on experience.

Required Skills

  • 2 or more years of analytical experience, with emphasis on strategy building, modeling, authentication controls or other quantitative work.
  • Strong Proficiency with SAS and/or SQL is required
  • Please note more senior roles will require additional programming, reporting, and analytical experience.
  • Position may be filled as an Analyst II or III depending on experience.

  • Proven track record of building and deploying analytical solutions that have resulted in material financial results.
  • Ability to work in a fast-paced, dynamic environment is critical.
  • Must have exceptional organizational, project management and communications skills.
  • Quantitative analyst experience, including skills like data mining, forecasting, and statistics
  • Strong ability to prepare and leverage data in order to recognize business opportunity and drive results
  • Skilled with MS Office (Excel, Access, Word, and PowerPoint)
  • Proficient at written and oral communication, including presentation skills

Desired Skills

  • Inquisitive, curious mindset able to work autonomously with limited direction
  • Bachelor’s degree - ideally in a quantitative discipline such as mathematics, computer science, statistics, engineering, or business
  • Jobs involving data science will also require experience in Python.
  • Experience in financial services is very helpful, with preference to fraud, credit, cyber security, decision management, fraud and/or authentication controls or marketing analytics
  • Advanced degree (MS, PhD) in quantitative field (A graduate degree is strongly preferred for more senior roles
  • Ability to think like a criminal and proactively find gaps in our fraud strategies and controls

All of the above will require increasing levels of sophistication and expertise with more senior roles, so these are considered guidelines.

If you think you have what takes, and want to join a fun, dynamic group that is solving critical problems, please apply!

Shift:

1st shift (United States of America)

Hours Per Week:

40

Job Detailstop

Location Newark, DE, 19711, United States
Categories Education/Instructor/Training

Location Maptop

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Contact Name -
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Job Code 19045474-11
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