Fraud Data Scientist- Cons Prod Analyst III
Newark;Plano, Texas; Fort Worth, Texas; New York, New York; Charlotte, North Carolina; Chicago, Illinois; Kennesaw, Georgia; Jacksonville, Florida; Phoenix, Arizona
**Job Description:**
Fraud is an ever-changing landscape, where determined adversaries constantly attempt to gain access to customer accounts. We are looking for an energetic, inquisitive and talented data scientist to join our team to help stop 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):
+ Develop unsupervised learning to detect portfolio anomalies and to complement other models/tools, conducted in both SAS and H2O
+ Link Analysis/Graph analytics to find and mitigate deeply-connected fraud networks and detect new accounts being added to these networks
+ Partner with technology to execute our data strategy and model deployment
+ Presentation of work to all levels of the organization including senior leadership
**Enterprise Role Overview:**
**_Responsible for performing more complex analysis and modeling for multiple products with the goal of maximizing profits and asset growth and minimizing risk and operating losses and/or other financial and marketing exposures. Develops complex program models to extract data and uses multiple databases to acquire statistical and financial data. Utilizes portfolio trends to propose policy/procedural changes within segmentation structure to produce optimal results. Excels at risk/reward trade off. Build relationships with external agencies. Participates in the rollout of company-wide pilot programs developed as a result of programmed models. Duties primarily include the regular use of discretion, independent judgment, the ability to communicate with multiple levels of management and the utilization of core leadership behaviors. SAS and/or MicroStrategy experience preferred; 2-5 years experience preferred._**
**Required Skills & Experience**
+ A minimum of 2 years of experience in data analytics or data science 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 tasks end to end and 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
+ 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
**Desired Skills & Experience**
+ Advanced Quantitative degree (Masters or PhD)
+ 4+ 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:**
H5
**Shift:**
1st shift (United States of America)
**Hours Per Week:**
40
**Weekly Schedule:**
Monday - Friday 8am -5pm
**Referral Bonus Amount:**
1000
**Job Description:**
Fraud is an ever-changing landscape, where determined adversaries constantly attempt to gain access to customer accounts. We are looking for an energetic, inquisitive and talented data scientist to join our team to help stop 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):
+ Develop unsupervised learning to detect portfolio anomalies and to complement other models/tools, conducted in both SAS and H2O
+ Link Analysis/Graph analytics to find and mitigate deeply-connected fraud networks and detect new accounts being added to these networks
+ Partner with technology to execute our data strategy and model deployment
+ Presentation of work to all levels of the organization including senior leadership
**Enterprise Role Overview:**
**_Responsible for performing more complex analysis and modeling for multiple products with the goal of maximizing profits and asset growth and minimizing risk and operating losses and/or other financial and marketing exposures. Develops complex program models to extract data and uses multiple databases to acquire statistical and financial data. Utilizes portfolio trends to propose policy/procedural changes within segmentation structure to produce optimal results. Excels at risk/reward trade off. Build relationships with external agencies. Participates in the rollout of company-wide pilot programs developed as a result of programmed models. Duties primarily include the regular use of discretion, independent judgment, the ability to communicate with multiple levels of management and the utilization of core leadership behaviors. SAS and/or MicroStrategy experience preferred; 2-5 years experience preferred._**
**Required Skills & Experience**
+ A minimum of 2 years of experience in data analytics or data science 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 tasks end to end and 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
+ 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
**Desired Skills & Experience**
+ Advanced Quantitative degree (Masters or PhD)
+ 4+ 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-22063276
Band: H5
Manages People: No
Travel: Yes, 10% of the time
Manager:
Talent Acquisition Contact:
Lisa Doggett [C]
Referral Bonus:
1000
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.
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