Cons Prod Strategic Analyst IV - Data Science
Fort Worth
Bank of America
What would you like the power to do? For you and your family, your business and your community. At Bank of America, our purpose is to help make financial lives better through the power of every connection.Job Description:
Enterprise 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 performing more complex analysis aimed at improving portfolio risk, profitability, performance forecasting, and operational performance for consumer products and related divisions, such as credit cards. Key responsibilities include applying knowledge of multiple business and technical-related topics and independently driving strategic improvements, large-scale projects, and initiatives. Job expectations include working with business counterparts within the Line of Business and partner organizations including Risk and Product teams.
Fraud Prevention and Detection is looking for an energetic and inquisitive senior data scientist to join our team and help us combat financial crime using graph databases. In this role, you will be expected to work on large and complex data science projects. collaborating with internal strategy, technology, product, and policy partners to deploy advanced analytical solutions with the goal of reducing fraud losses, lowering false positive impacts, improving client experience, and ensuring the Bank minimizes its total cost of fraud.
Responsibilities
Some tasks that this role may be responsible for include (but are not limited to):
- Link Analysis/Graph analytics to find and mitigate densely connected fraud networks
- Developing and tuning graph algorithms to maximize detection of fraud
- Assist with the generation, prioritization, and investigation of fraud rings
- Performs complex analysis of financial models, market data, financial data, and portfolio trends to understand product performance and improve portfolio risk, profitability, performance forecasting, and operational performance
- Coaches and mentors peers to improve proficiency in a variety of systems and serves as a subject matter expert on multiple business and technical-related topics
- Identifies business trends based on economic and portfolio conditions and communicates findings to senior management
- Supports execution of large scale projects, such as platform conversions or new project integrations by conducting advanced reporting and drawing analytics based insights
Required Qualifications
- Experience in delivering technical and/or complex projects and managing to an outcome (direct management)
- Knowledge of current data techniques and tools
- Working knowledge of tools and techniques of statistical analysis
- Experience in prioritizing to meet deadlines
- Ability to effectively communicate at all organizational levels
- A minimum of 4 years of experience in data and analytics is required
- Must be proficient with SQL and one of SAS, Python ,or Java
- Critical problem-solving skills including selection of data and deployment of solutions
- Proven ability to manage projects, exercise thought leadership and work with limited direction on complex problems to achieve project goals while also leading a broader team
- Excellent communication and influencing skills
- Thrives in fast-paced and highly dynamic environment
- Intellectual curiosity and strong urge to figure out the “whys” of a problem and come up with creative solutions
Desired Qualifications
- Advanced Quantitative degree (Masters or PhD)
- 7+ years of experience; work in financial services is very helpful, with preference to fraud, credit, cybersecurity, or other heavily quantitative areas
- Understanding of advanced machine learning methodologies including neural networks, ensemble learning like XGB, and other techniques
- Proficient with H2O or similar advanced analytical tools
Skills
- Analytical Thinking
- Business Analytics
- Data and Trend Analysis
- Fraud Management
- Problem Solving
- Collaboration
- Innovative Thinking
- Monitoring, Surveillance, and Testing
- Presentation Skills
- Risk Management
- Data Visualization
- Interpret Relevant Laws, Rules, and Regulations
- Issue Management
- Oral Communications
- Written Communications
Shift:
1st shift (United States of America)Hours Per Week:
40* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Business Analytics Data visualization Java Machine Learning PhD Python SAS SQL Statistics Testing
Perks/benefits: Career development
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Business Intelligence Developer jobs
- Open Data Science Manager jobs
- Open Data Engineer II jobs
- Open Principal Data Scientist jobs
- Open Business Data Analyst jobs
- Open BI Analyst jobs
- Open Data Scientist II jobs
- Open Business Intelligence Engineer jobs
- Open Sr Data Engineer jobs
- Open Lead Data Analyst jobs
- Open Data Science Intern jobs
- Open Sr. Data Scientist jobs
- Open Senior Business Intelligence Analyst jobs
- Open Junior Data Scientist jobs
- Open MLOps Engineer jobs
- Open Software Engineer, Machine Learning jobs
- Open Data Analytics Engineer jobs
- Open Marketing Data Analyst jobs
- Open Azure Data Engineer jobs
- Open Manager, Data Engineering jobs
- Open Data Engineer III jobs
- Open Junior Data Engineer jobs
- Open Data Analyst II jobs
- Open Product Data Analyst jobs
- Open Data Quality Analyst jobs
- Open GCP-related jobs
- Open Data quality-related jobs
- Open Excel-related jobs
- Open Privacy-related jobs
- Open Data pipelines-related jobs
- Open ML models-related jobs
- Open PhD-related jobs
- Open APIs-related jobs
- Open PyTorch-related jobs
- Open Finance-related jobs
- Open LLMs-related jobs
- Open Data visualization-related jobs
- Open TensorFlow-related jobs
- Open Business Intelligence-related jobs
- Open Deep Learning-related jobs
- Open Consulting-related jobs
- Open Generative AI-related jobs
- Open Data governance-related jobs
- Open NLP-related jobs
- Open CI/CD-related jobs
- Open DevOps-related jobs
- Open Kubernetes-related jobs
- Open Git-related jobs
- Open Hadoop-related jobs
- Open Snowflake-related jobs