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Fraud Senior Data Scientist

Newark, Delaware;

Job Description:

Job Description

Responsible for performing complex analysis aimed at improving portfolio risk, profitability, performance forecasting and operational performance for consumer products and the related divisions such as credit cards. While this position has no direct people management responsibilities, it does require the ability to interact with business partners both within and external to the department. This position requires being the subject matter expert on multiple business-related and technical-related topics and an ability to independently drive strategic improvements. Key functions involve owning asset quality monitoring, identifying business trends based on economic and portfolio conditions, and executing strategic enhancements. Responsible for conducting interviews, training, Card Strategy Management / Consumer Product Analysts, and mentoring less tenured analysts. Communicates business trends creates financial assessments and interprets risk analytics for senior management. Proven experience at developing technical skills of their team. Detailed knowledge of SAS / SQL, financial statements, and business processes preferred. Sound knowledge of SAS / SQL, financial statements, and business processes preferred. 5+ years Strategic Analysis experience preferred.

Fraud Prevention and Detection is looking for an energetic and inquisitive data scientist to join our team and help us combat financial crime.


In this role, you will be expected to work with our lead data scientist and the team executive as well as our 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.


 Some tasks that this role may be responsible for include (but are not limited to)
•  Link Analysis/Graph analytics to find and mitigate deeply-connected fraud networks and detect new accounts being added to these networks
•  Unsupervised learning methods to augment existing supervised models, or detect portfolio anomalies
•  Development of machine learning models, using tools including H2O and SAS
•Partner with technology to execute our data strategy including deployment and use of Hive, PySpark and Spark Streaming
•  Presentation of work to all levels of the organization including senior leadership 


Required Skills
• There is no specific degree requirement, while candidates with quantitative degrees (either undergraduate or graduate) are preferred, other applicants with relevant certifications and experience will be considered as well
• 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 working as part o 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 Skills
- Advanced Quantitative degree (Masters or PhD)
-  7+ years of experience; work in financial services is very helpful, with preference to fraud, credit, cyber security or other heavily quantitative areas
- Proficient with H2O or similar advanced analytical tool
- Strong knowledge of graph databases such as Neo4j or Tigergraph

Job Band:

H4

Shift: 

1st shift (United States of America)

Hours Per Week:

40

Weekly Schedule:

Monday - Friday

Referral Bonus Amount:

0

Job Description:

Job Description

Responsible for performing complex analysis aimed at improving portfolio risk, profitability, performance forecasting and operational performance for consumer products and the related divisions such as credit cards. While this position has no direct people management responsibilities, it does require the ability to interact with business partners both within and external to the department. This position requires being the subject matter expert on multiple business-related and technical-related topics and an ability to independently drive strategic improvements. Key functions involve owning asset quality monitoring, identifying business trends based on economic and portfolio conditions, and executing strategic enhancements. Responsible for conducting interviews, training, Card Strategy Management / Consumer Product Analysts, and mentoring less tenured analysts. Communicates business trends creates financial assessments and interprets risk analytics for senior management. Proven experience at developing technical skills of their team. Detailed knowledge of SAS / SQL, financial statements, and business processes preferred. Sound knowledge of SAS / SQL, financial statements, and business processes preferred. 5+ years Strategic Analysis experience preferred.

Fraud Prevention and Detection is looking for an energetic and inquisitive data scientist to join our team and help us combat financial crime.


In this role, you will be expected to work with our lead data scientist and the team executive as well as our 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.


 Some tasks that this role may be responsible for include (but are not limited to)
•  Link Analysis/Graph analytics to find and mitigate deeply-connected fraud networks and detect new accounts being added to these networks
•  Unsupervised learning methods to augment existing supervised models, or detect portfolio anomalies
•  Development of machine learning models, using tools including H2O and SAS
•Partner with technology to execute our data strategy including deployment and use of Hive, PySpark and Spark Streaming
•  Presentation of work to all levels of the organization including senior leadership 


Required Skills
• There is no specific degree requirement, while candidates with quantitative degrees (either undergraduate or graduate) are preferred, other applicants with relevant certifications and experience will be considered as well
• 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 working as part o 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 Skills
- Advanced Quantitative degree (Masters or PhD)
-  7+ years of experience; work in financial services is very helpful, with preference to fraud, credit, cyber security or other heavily quantitative areas
- Proficient with H2O or similar advanced analytical tool
- Strong knowledge of graph databases such as Neo4j or Tigergraph

Shift:

1st shift (United States of America)

Hours Per Week: 

40

Learn more about this role

Full time

JR-22064296

Band: H4

Manages People: No

Travel: Yes, 10% of the time

Manager:

Talent Acquisition Contact:

Alicia Adams

Referral Bonus:

0