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Quantitative Services Innovations Professional - Data Science Group

Quantitative Services Innovations Professional - Data Science Group

Charlotte, North Carolina;Jersey City, New Jersey; Chicago, Illinois; Jacksonville, Florida

**Job Description:**

The Quantitative Services Innovations Professional will support ongoing Data Science Initiatives. This includes working 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.

Key Responsibilities

+ The candidate is expected 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

+ Conduct research to study latest developments in the field of Machine learning, Deep Learning and Natural Language Processing to solve real-world problems

+ Assess accuracy and sanity of data sources and implement efficient pre-processing processes

+ Author detailed model documentation for Regulatory audit and Model validation

+ Develop A/B testing framework to test Model quality and implement processes that monitor model performance in Production

**Required Skills:** (Must have these skills to be minimally qualified)

+ 5+ years relevant industry experience and minimum of 2 years programming experience in Python or R

+ Knowledge and Experience in Statistics and Data Mining Techniques -Classification, Clustering, Regression, Parameter Tuning, DimensionalityReduction, Time Series Analysis, Drift Detection methods

+ Knowledge of models like Decision Trees, Random Forest Trees, SVM, Neural Networks and methods used in Hyper Parameter Tuning, Feature Selection, Ensembling, Bagging and Boosting

+ Data Visualization/presenting data using Excel, Tableau, Plotly, Matplotlib, Seaborn, Bokeh and ggplots

+ Strong technical background with proven experience working in an Agile software development lifecycle

+ Basic knowledge of Source Control tools like BitBucket, Git and Collaboration tools like SharePoint, Slack

+ Excellent written and verbal communication skills for coordinating with stakeholders

+ Self-starter and ability to multi task with tight deadlines and navigate changing priorities in a fast paced environment

+ Bachelor's degree or higher in Computer Science, Mathematics, Financial Engineering, Statistics, Economics or related Quantitative field

**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 Quantitative Services Innovations Professional will support ongoing Data Science Initiatives. This includes working 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.

Key Responsibilities

+ The candidate is expected 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

+ Conduct research to study latest developments in the field of Machine learning, Deep Learning and Natural Language Processing to solve real-world problems

+ Assess accuracy and sanity of data sources and implement efficient pre-processing processes

+ Author detailed model documentation for Regulatory audit and Model validation

+ Develop A/B testing framework to test Model quality and implement processes that monitor model performance in Production

**Required Skills:** (Must have these skills to be minimally qualified)

+ 5+ years relevant industry experience and minimum of 2 years programming experience in Python or R

+ Knowledge and Experience in Statistics and Data Mining Techniques -Classification, Clustering, Regression, Parameter Tuning, DimensionalityReduction, Time Series Analysis, Drift Detection methods

+ Knowledge of models like Decision Trees, Random Forest Trees, SVM, Neural Networks and methods used in Hyper Parameter Tuning, Feature Selection, Ensembling, Bagging and Boosting

+ Data Visualization/presenting data using Excel, Tableau, Plotly, Matplotlib, Seaborn, Bokeh and ggplots

+ Strong technical background with proven experience working in an Agile software development lifecycle

+ Basic knowledge of Source Control tools like BitBucket, Git and Collaboration tools like SharePoint, Slack

+ Excellent written and verbal communication skills for coordinating with stakeholders

+ Self-starter and ability to multi task with tight deadlines and navigate changing priorities in a fast paced environment

+ Bachelor's degree or higher in Computer Science, Mathematics, Financial Engineering, Statistics, Economics or related Quantitative field

**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-22060254

Band: H5

Manages People: No

Travel: No

Manager:

Talent Acquisition Contact:

Viviana Renshaw

Referral Bonus:

0

Jersey City pay and benefits information

**Jersey City pay range:**

$95,000 - $133,200

annualized salary, offers to be determined based on experience, education and skill set.

**Discretionary incentive eligible**

This role is eligible to participate in the annual discretionary plan. Employees are eligible for an annual discretionary award based on their overall individual performance results and behaviors, the performance and contributions of their line of business and/or group; and the overall success of the Company.

**Benefits**

This role is currently benefits eligible . We provide industry-leading benefits, resources and support to our employees so they can make a genuine impact and contribute to the sustainable growth of our business and the communities we serve.

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 America’s Drug-free workplace and alcohol policy, CLICK HERE .

Quantitative Services Innovations Professional - Data Science Group

Full time
Jersey City, NJ

Published on 09/17/2022

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