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Job Location: Boston, MA
Boston, United States of America
WHAT YOU WILL BE DOING
Maintains and monitors data and databases to meet the company’s current and projected future needs. Reviews and ensures the quality, accuracy and security of data in accordance with established procedures and standards. Monitors database activity and the relationships between the database users and applications to ensure appropriate data usage and resolve data conflicts. Collaborates with technology/infrastructure staff to identify data relationships and functional requirements.
Designs and monitors control systems which ensure the integrity and security of data and for advising on the optimal use of the organization’s computing resources. Assesses the completeness, accuracy, validity and efficiency of information processing, business and application systems, reviews the operations, systems software, systems development and security of the organization’s computing environment, and recommends appropriate software and hardware acquisitions.
Conducts data exploration, hypothesis creation, algorithm testing, and scaling to large data-sets.
Designs, deploys, and enhances predictive or behavioral models to address critical business issues, improve automation and overall efficiencies.
Provides analytics support across lifecycle initiatives: originations, line management, portfolio/customer risk management, capital risk management, and collections & recovery.
Leads analytic projects to support key business strategies and initiatives, communicates conclusions and results to senior management.
Performs large-scale data mining and data science projects as well as ad hoc statistical and data mining analyses.
Presents results of analyses to business units, explain technical and statistical concepts to non-technical/non-statistical associates and vice-versa.
Leverage subject matter expertise and analytical skills to drive sustainable and profitable growth strategies across the business ensuring compliance with all policies and Local, State, and Federal laws and regulations.
Develops dashboards and related reports to highlight key performance metrics and trends.
Engages the right technical and/or business partners, and collaborates with a wide range of teams to readily share results and lessons learned.
Researches and develops predictive analytics for continuous optimization of business processes using problem sets based on structured and unstructured data.
Partners with business teams to gather and process data, provides feedback on patterns and insights based on detailed data analysis.
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Qualifications:
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Education:
Bachelor’s Degree or equivalent work experience in Data Science, Data Analysis, Operational Research, Decision Management or equivalent quantitative field. (Req)
Master’s Degree in Data Science, Data Analysis, Operational Research, Decision Management or equivalent quantitative field. Req
Work Experience:
Data mining/advanced analytics applied to large-scale data-intensive projects. , 9-12 years (Req)
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Skills and Abilities:
Advanced knowledge of and breadth of analytic methodologies – statistics & machine learning – e.g. linear and non-linear regression, logistic regression, clustering (k-means, EM, Mean-shift), classification algorithms, decision trees, ensembles (bagging, boosting, rand).
Demonstrated experience with any and all of the following: credit decision engine packages, statistical techniques, statistics software packages, small business/commercial risk assessment, retail and wholesale capital calculations, and data mining techniques.
Strong knowledge of distributed computing, data warehouse, data mining, business analytics and software development.
Strong analytics background with attention to details to deliver quality results.
Ability to conceptualize and execute analytical work based on broad business objectives.
Ability to work with large scale data to derive insights through data analysis, optimization or risk classification algorithms.
Ability to quickly learn new tools and understand new areas of data.
Ability to effectively communicate results to IT and other business (nontechnical) professionals.
Excellent verbal and written communication skills.
Exceptional problem solving, organizational and process improvement skills.
Diversity & EEO Statements: At Santander, we value and respect differences in our workforce and strive to increase the diversity of our teams. We actively encourage everyone to apply.
Santander is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, genetics, disability, age, veteran status or any other characteristic protected by law.
Working Conditions: Frequent Minimal physical effort such as sitting, standing and walking. Occasional moving and lifting equipment and furniture is required to support onsite and offsite meeting setup and teardown. Physically capable of lifting up to fifty pounds, able to bend, kneel, climb ladders.
Employer Rights: Employer Rights: This job description does not list all of the job duties of the job. You may be asked by your supervisors or managers to perform other duties. You may be evaluated in part based upon your performance of the tasks listed in this job description. The employer has the right to revise this job description at any time. This job description is not a contract for employment and either you or the employer may terminate at any time for any reason. English
Primary Location: Boston, Massachusetts, United States of America
Other Locations: Massachusetts-Boston
Organization: Santander Bank N.A.
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