Data Scientist - Quantitative Services Sr Professional
Charlotte, North Carolina;New York, New York; Jacksonville, Florida
**Job Description:**
The Data Science team works closely with different Operations, Technology and Business Partners in designing and implementing predictive models and analytical tools using latest machine learning techniques. This role will also include participation in all phases of Model development including Model development, Model validation, Model Governance and ongoing monitoring in a production environment.
Responsibilities
+ The role requires to work closely with the business analysts, business partners and other technology partners to gather requirements as part of process discovery
+ Successfully use advanced predictive models and analytics to derive insights from data to implement business strategy and automation
+ Assess accuracy and sanity of data sources and implement efficient pre-processing processes
+ Author detailed model documentation for Regulatory audit and Model validation.
+ Respond to inquiries from Model Risk Management and other internal controls teams
**Required Skills:** (Must have these skills to be minimally qualified)
+ 5+ years relevant industry experience and minimum of 2 years developing machine learning models
+ Strong technical background and experience working on the model development lifecycle
+ Excellent written and verbal communication skills for coordinating with stakeholders
+ Self-starter and ability to multitask with tight deadlines and navigate changing priorities in a fast-paced environment
**Desired Skills:**
+ Masters degree or higher in Computer Science, Mathematics, Financial Engineering, Statistics, Economics or related Quantitative field
+ Embraces team collaboration and promotes intellectual discussion
+ Vast experience coding for data analysis and model development (SAS, R, Python, etc.)
+ Experience using data visualization to present results of data analysis
+ Strong technical background and experience working on the model development lifecycle
+ Vast experience coding for data analysis and model development (SAS, R, Python, etc.
+ Embraces team collaboration and intellectual curiosity
**Other Qualifications:**
+ Strives to bring new thoughts and ideas to teams in order to drive innovation and unique solutions.
+ Excels in working among diverse viewpoints to determine the best path forward.
+ Experience in connecting with a diverse set of clients to understand future business needs is a continuous learner.
+ Commitment to challenging the status quo and promoting positive change.
+ Participate in and drive collaborative efforts to advance tools, technology, and ways of working to better serve an evolving client base.
+ Believes in value of diversity so we can reflect, connect and meet the diverse needs of our clients and employees around the world.
_Enterprise Role Overview:_
_Leads multiple projects that are significant in scope and impact. Serve as a SME and use that expertise to influence the optimal design and delivery of projects. Expected to lead by influence and drive strategic adoption. Demonstrated progressive growth in skill and responsibilities in various roles. Has extensive professional and functional knowledge developed through financial industry experience. Key responsibilities include: Provide subject matter expertise in process design, tool development or methodology validation ; Design and roll out analytical and technical tools for validations of new models/methodology; Provides guidance and mentoring to junior analysts as needed; Be a solution provider who can leverage the knowledge and experience to deliver a high quality end product; and Understands financial products across all asset classes and has extensive knowledge of technical implementations. Posses advanced degree in physic, applied mathematics, statistics/probability or another heavy quantitative discipline._
**Job Band:**
H5
**Shift:**
1st shift (United States of America)
**Hours Per Week:**
40
**Weekly Schedule:**
**Referral Bonus Amount:**
0
**Job Description:**
The Data Science team works closely with different Operations, Technology and Business Partners in designing and implementing predictive models and analytical tools using latest machine learning techniques. This role will also include participation in all phases of Model development including Model development, Model validation, Model Governance and ongoing monitoring in a production environment.
Responsibilities
+ The role requires to work closely with the business analysts, business partners and other technology partners to gather requirements as part of process discovery
+ Successfully use advanced predictive models and analytics to derive insights from data to implement business strategy and automation
+ Assess accuracy and sanity of data sources and implement efficient pre-processing processes
+ Author detailed model documentation for Regulatory audit and Model validation.
+ Respond to inquiries from Model Risk Management and other internal controls teams
**Required Skills:** (Must have these skills to be minimally qualified)
+ 5+ years relevant industry experience and minimum of 2 years developing machine learning models
+ Strong technical background and experience working on the model development lifecycle
+ Excellent written and verbal communication skills for coordinating with stakeholders
+ Self-starter and ability to multitask with tight deadlines and navigate changing priorities in a fast-paced environment
**Desired Skills:**
+ Masters degree or higher in Computer Science, Mathematics, Financial Engineering, Statistics, Economics or related Quantitative field
+ Embraces team collaboration and promotes intellectual discussion
+ Vast experience coding for data analysis and model development (SAS, R, Python, etc.)
+ Experience using data visualization to present results of data analysis
+ Strong technical background and experience working on the model development lifecycle
+ Vast experience coding for data analysis and model development (SAS, R, Python, etc.
+ Embraces team collaboration and intellectual curiosity
**Other Qualifications:**
+ Strives to bring new thoughts and ideas to teams in order to drive innovation and unique solutions.
+ Excels in working among diverse viewpoints to determine the best path forward.
+ Experience in connecting with a diverse set of clients to understand future business needs is a continuous learner.
+ Commitment to challenging the status quo and promoting positive change.
+ Participate in and drive collaborative efforts to advance tools, technology, and ways of working to better serve an evolving client base.
+ Believes in value of diversity so we can reflect, connect and meet the diverse needs of our clients and employees around the world.
_Enterprise Role Overview:_
_Leads multiple projects that are significant in scope and impact. Serve as a SME and use that expertise to influence the optimal design and delivery of projects. Expected to lead by influence and drive strategic adoption. Demonstrated progressive growth in skill and responsibilities in various roles. Has extensive professional and functional knowledge developed through financial industry experience. Key responsibilities include: Provide subject matter expertise in process design, tool development or methodology validation ; Design and roll out analytical and technical tools for validations of new models/methodology; Provides guidance and mentoring to junior analysts as needed; Be a solution provider who can leverage the knowledge and experience to deliver a high quality end product; and Understands financial products across all asset classes and has extensive knowledge of technical implementations. Posses advanced degree in physic, applied mathematics, statistics/probability or another heavy quantitative discipline._
**Shift:**
1st shift (United States of America)
**Hours Per Week:**
40
Learn more about this role
Full time
JR-22060257
Band: H5
Manages People: No
Travel: Yes, 5% of the time
Manager:
Talent Acquisition Contact:
Viviana Renshaw
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.
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