
Job Description:
Bank of America is one of the world's largest financial institutions, serving individual consumers, small and middle market businesses and large corporations with a full range of banking, investing, asset management and other financial and risk-management products and services. Following the acquisition of Merrill Lynch on January 1, 2009, Bank of America is among the world's leading wealth management companies and is a global leader in corporate and investment banking and trading across a broad range of asset classes serving corporations, governments, institutions and individuals around the world. In Canada, Bank of America has a strong market position on which to continue to build, as well as a clear commitment to the market.
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.
Responsibilities
The successful 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
Requirements
Master’s degree or higher in Computer Science, Mathematics, Financial Engineering, Statistics, Economics or related Quantitative field
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, Dimensionality Reduction, 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
Additional 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.
What Bank of America Offers
Bank of America embodies a culture that extends from how we think, to how we behave, and to how we measure performance. By achieving excellence - in everything we do, every time we do it - we deliver the full value of Bank of America for our clients, our shareholders and our employees.
Bank of America places a high value on talent and on maintaining a culture defined by meritocracy. For these reasons, it is deeply committed to professional development, opportunity and accountability at all levels of the organization.
Bank of America is an Equal Opportunity Employer.
Bank of America encourages applications from all qualified individuals. Applicants with disabilities may notify us of any accommodations needed to support your participation in the recruitment process. We wish to thank all applicants for their interest and effort in applying. Please be aware that only candidates selected for interviews will be contacted for this position.
Job Band:
H5Shift:
Hours Per Week:
37.5Weekly Schedule:
Referral Bonus Amount:
0Job Description:
Bank of America is one of the world's largest financial institutions, serving individual consumers, small and middle market businesses and large corporations with a full range of banking, investing, asset management and other financial and risk-management products and services. Following the acquisition of Merrill Lynch on January 1, 2009, Bank of America is among the world's leading wealth management companies and is a global leader in corporate and investment banking and trading across a broad range of asset classes serving corporations, governments, institutions and individuals around the world. In Canada, Bank of America has a strong market position on which to continue to build, as well as a clear commitment to the market.
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.
Responsibilities
The successful 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
Requirements
Master’s degree or higher in Computer Science, Mathematics, Financial Engineering, Statistics, Economics or related Quantitative field
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, Dimensionality Reduction, 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
Additional 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.
What Bank of America Offers
Bank of America embodies a culture that extends from how we think, to how we behave, and to how we measure performance. By achieving excellence - in everything we do, every time we do it - we deliver the full value of Bank of America for our clients, our shareholders and our employees.
Bank of America places a high value on talent and on maintaining a culture defined by meritocracy. For these reasons, it is deeply committed to professional development, opportunity and accountability at all levels of the organization.
Bank of America is an Equal Opportunity Employer.
Bank of America encourages applications from all qualified individuals. Applicants with disabilities may notify us of any accommodations needed to support your participation in the recruitment process. We wish to thank all applicants for their interest and effort in applying. Please be aware that only candidates selected for interviews will be contacted for this position.
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