Data Scientist II Graph Data Platform Client Protection

Job description

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 an 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.

Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations.

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

Join us!
 

Job Summary

This job is responsible for reviewing and interpretating large datasets to uncover revenue generation opportunities and ensuring the development of effective risk management strategies.

Key responsibilities include working with lines of business to comprehend problems, utilizing sophisticated analytics and deploying advanced techniques to devise solutions, and presenting recommendations based on findings.

Job expectations include demonstrating leadership, resilience, accountability, a disciplined approach, and a commitment to fostering responsible growth for the enterprise.

This job is responsible for supporting advanced analytics technical development and the pathway to optimality, scalability, and sustainability in close partnership with Bank of America Technology.

This work closely integrates with business efforts to improve portfolio risk, profitability, performance forecasting, and operational performance for customer 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 counterparts within the Line of Business, across the technology organization, and risk teams.

Client Protection Shared Services – Advanced Analytics is looking for a seasoned and energetic data science leader to join our team as a Lead Data Scientist and help us deliver data science products to the production environment especially for scalable graph analytics.

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:

Required Qualifications:

• Minimum of 4 years of experience in data and analytics

• Must have familiarity with Graph databases (e.g. TigerGraph, Neo4J) and graph query languages

• 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

• Expertise handling data across its lifecycle in a variety of formats and storage technologies (e.g., structured, semi-structured, unstructured; graph; hadoop; kafka)

• Expertise in data analytics and technical development lifecycles including having coached junior staff

Desired Qualifications:

• Advanced STEM (Science, Technology, Engineering, Math) 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

• Deep understanding of graph databases, graph algorithms, and experience developing graph schemas

• Understanding of advanced machine learning methodologies including neural networks, ensemble learning like XGB, and other techniques

• Proficient with H2O or similar advanced analytical tools

• Experience managing multi-year roadmaps, engaging technical and non-technical stakeholders, and leading large cross-functional formal projects

• Experience influencing mid to senior (executive) level leaders

• Experience managing risk and issue remediation

• Understanding of computer science topics like automation, code versioning, computational complexity, parallel processing, requirements gathering, testing methodologies, and development lifecycle models like Agile

Skills:

Shift:

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Required Skill Profession

Mathematical Science Occupations