Cons Prod Strat Analyst IV

, 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 experienced data scientist to join our team and help us combat financial crime. In this role, you will be expected to work on large and complex data science projects that entail working with both relational and graph databases. In these projects, it is expected to collaborate 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. Key responsibilities include applying knowledge of multiple business and technical-related topics and independently driving strategic initiatives, large-scale projects, and overall improvements.

Responsibilities:

• End-to-end model development work, ranging from supervised, unsupervised, and graph-based machine learning solutions, to maximize detection of fraud or capture anomalous behavior

• Link Analysis/Graph analytics to find and mitigate densely connected fraud networks and assist with the generation, prioritization, and investigation of fraud rings

• Perform 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

• Coach and mentor peers to improve proficiency in a variety of systems and serve as a subject matter expert on multiple business and technical-related topics

• Identify business trends based on economic and portfolio conditions and communicate findings to senior management

• Support execution of large-scale projects, such as platform conversions or new project integrations by conducting advanced reporting and drawing analytical-based insights     

• 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:

• A minimum of 3 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

• Model development experience leveraging supervised and unsupervised machine learning (regression, tree-based algorithms, etc.)

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

Desired Qualifications :

• Advanced Quantitative degree (Master's 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, graph algorithms, and other techniques

• Proficient with SPARK, H2O, or similar advanced analytical tools

• Analytical and Innovating Thinking

• Problem Solving and Business Acumen

• Risk and Issue Management, interpreting relevant laws, rules, and regulations

• Data Visualization, Oral and Written Communication, and Presentation Skills  

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

Minimum Education Requirement : Bachelor's degree or equivalent work experience

Shift:
1st shift (United States of America)

Hours Per Week:
40

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