Fraud Senior Data Scientist

Bank of America
Published
August 5, 2022
Location
Jacksonville, FL
Category
Job Type

Description

Fraud Senior Data Scientist

Newark, Delaware;Plano, Texas; Fort Worth, Texas; Kennesaw, Georgia; Jacksonville, Florida; Charlotte, North Carolina; Phoenix, Arizona

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

Bank of America and its affiliates consider for employment and hire qualified candidates without regard to race, religious creed, religion, color, sex, sexual orientation, genetic information, gender, gender identity, gender expression, age, national origin, ancestry, citizenship, protected veteran or disability status or any factor prohibited by law, and as such affirms in policy and practice to support and promote the concept of equal employment opportunity and affirmative action, in accordance with all applicable federal, state, provincial and municipal laws. The company also prohibits discrimination on other bases such as medical condition, marital status or any other factor that is irrelevant to the performance of our teammates.

To view the "EEO is the Law" poster, CLICK HERE (https://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf) .

To view the "EEO is the Law" Supplement, CLICK HERE (https://www.dol.gov/ofccp/regs/compliance/posters/pdf/OFCCP_EEO_Supplement_Final_JRF_QA_508c.pdf) .

Bank of America aims to create a workplace free from the dangers and resulting consequences of illegal and illicit drug use and alcohol abuse. Our Drug-Free Workplace and Alcohol Policy (Policy) establishes requirements to prevent the presence or use of illegal or illicit drugs or unauthorized alcohol on Bank of America premises and to provide a safe work environment.

To view Bank of Americas Drug-free workplace and alcohol policy, CLICK HERE .

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