Santander Bank, N.A.
Overview
Sr. Specialist, Data Science role at Santander Bank, N.A. Santander is a global leader and innovator in the financial services industry. We believe that our employees are our greatest asset. Our focus is on fostering an enriching journey that empowers you to explore diverse career opportunities while nurturing your personal growth. We are committed to creating an environment where continuous learning and development are prioritized, enabling you to thrive both professionally and personally. Here, you will find ample opportunities to connect and collaborate with talented colleagues from around the world, sharing insights and driving innovation together. Join us at Santander, where you are supported by a culture of engagement and a commitment to your success. Location: Boston, MA (Primary) / Massachusetts-Boston Responsibilities
Designs and develops statistical models, applies and interprets validation results to ensure delivery of effective solutions. Delivers high quality modeling solutions that follow company-wide processes and allow for systematic improvements. Supports the management and building of internal and external relationships by serving as a reliable resource in statistical modeling, data and systems, handling requests and ensuring client satisfaction. Establishes and takes accountability towards meeting deadlines and milestones. Presents quantitative results clearly and concisely and demonstrates the ability to discuss statistical and quantitative concepts coherently. Ensures compliance by maintaining knowledge of changes in the regulatory environment. Develops efficient ways to conduct ad-hoc model run processes used to conduct model-related research. Conducts independent quantitative analytics. Executes quantitative models and tools to support analytic research. Leads efforts in development of analytic tools/processes. Develops and prototypes portfolio, models, forecasts, and reports to support forecast analytics operations. Creates, reviews and updates model documentation (development process, methodology, user guide, etc.). Ensures that risks inherent in model development and usage are properly identified and managed. Qualifications
What You Bring 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. Bachelor's Degree or equivalent work experience in Data Science, Data Analysis, Operational Research, Decision Management or equivalent quantitative field. - Required. Master's Degree in Data Science, Data Analysis, Operational Research, Decision Management or equivalent quantitative field. - Preferred. 3+ years data mining/advanced analytics applied to large-scale data-intensive projects. - Required. Demonstrated experience with advanced statistical packages and software. Demonstrated experience building and applying machine learning/predictive modeling in real-world use cases. Demonstrated ability to communicate effectively and work creatively and analytically in a problem-solving environment. Strong modeling and data manipulation skills. Strong written and verbal communication skills. Strong programming capability; ability to solve problems through programming and simulation. Strong understanding of statistical tools and their application to business, as well as principles of cost/benefit analysis, risk management, marketing, collections and operations. Proficient with the use of advanced statistical analysis software and applications (SAS, R, Python, SQL programming, etc.). Ability to read, interpret and explain complex statistical theories and practices to a wide audience of varying technical capability. Ability to multitask and properly prioritize multiple projects simultaneously. Ability to prioritize according to the strategic direction of the organization. Ability to meet deadlines and follow through on the completion of high-profile projects and initiatives. Technical aptitude with strong logical, problem solving and decision-making skills. Compensation & Benefits
The base pay range for this position is posted below and represents the annualized salary range. For hourly positions (non-exempt), the annual range is based on a 40-hour work week. The exact compensation may vary based on skills, experience, training, licensure and certifications and location. Base Pay Range: Minimum $84,375.00 USD — Maximum $140,000.00 USD Benefits
- Santander Benefits information available via the provided link. Equal Opportunity
EEO Statement: At Santander, we value and respect differences in our workforce. 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. What Else You Need To Know
Working conditions include frequent, minimal physical effort such as sitting, standing and walking. Depending on location, occasional moving and lifting of light equipment may be required. This job description is not a contract for employment and Santander reserves the right to revise this description at any time. What To Do Next: If this sounds like a role you are interested in, then please apply. We are committed to providing an inclusive and accessible application process for all candidates. If you require any assistance or accommodation due to a disability or any other reason, please contact us at TAOps@santander.us to discuss your needs.
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Sr. Specialist, Data Science role at Santander Bank, N.A. Santander is a global leader and innovator in the financial services industry. We believe that our employees are our greatest asset. Our focus is on fostering an enriching journey that empowers you to explore diverse career opportunities while nurturing your personal growth. We are committed to creating an environment where continuous learning and development are prioritized, enabling you to thrive both professionally and personally. Here, you will find ample opportunities to connect and collaborate with talented colleagues from around the world, sharing insights and driving innovation together. Join us at Santander, where you are supported by a culture of engagement and a commitment to your success. Location: Boston, MA (Primary) / Massachusetts-Boston Responsibilities
Designs and develops statistical models, applies and interprets validation results to ensure delivery of effective solutions. Delivers high quality modeling solutions that follow company-wide processes and allow for systematic improvements. Supports the management and building of internal and external relationships by serving as a reliable resource in statistical modeling, data and systems, handling requests and ensuring client satisfaction. Establishes and takes accountability towards meeting deadlines and milestones. Presents quantitative results clearly and concisely and demonstrates the ability to discuss statistical and quantitative concepts coherently. Ensures compliance by maintaining knowledge of changes in the regulatory environment. Develops efficient ways to conduct ad-hoc model run processes used to conduct model-related research. Conducts independent quantitative analytics. Executes quantitative models and tools to support analytic research. Leads efforts in development of analytic tools/processes. Develops and prototypes portfolio, models, forecasts, and reports to support forecast analytics operations. Creates, reviews and updates model documentation (development process, methodology, user guide, etc.). Ensures that risks inherent in model development and usage are properly identified and managed. Qualifications
What You Bring 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. Bachelor's Degree or equivalent work experience in Data Science, Data Analysis, Operational Research, Decision Management or equivalent quantitative field. - Required. Master's Degree in Data Science, Data Analysis, Operational Research, Decision Management or equivalent quantitative field. - Preferred. 3+ years data mining/advanced analytics applied to large-scale data-intensive projects. - Required. Demonstrated experience with advanced statistical packages and software. Demonstrated experience building and applying machine learning/predictive modeling in real-world use cases. Demonstrated ability to communicate effectively and work creatively and analytically in a problem-solving environment. Strong modeling and data manipulation skills. Strong written and verbal communication skills. Strong programming capability; ability to solve problems through programming and simulation. Strong understanding of statistical tools and their application to business, as well as principles of cost/benefit analysis, risk management, marketing, collections and operations. Proficient with the use of advanced statistical analysis software and applications (SAS, R, Python, SQL programming, etc.). Ability to read, interpret and explain complex statistical theories and practices to a wide audience of varying technical capability. Ability to multitask and properly prioritize multiple projects simultaneously. Ability to prioritize according to the strategic direction of the organization. Ability to meet deadlines and follow through on the completion of high-profile projects and initiatives. Technical aptitude with strong logical, problem solving and decision-making skills. Compensation & Benefits
The base pay range for this position is posted below and represents the annualized salary range. For hourly positions (non-exempt), the annual range is based on a 40-hour work week. The exact compensation may vary based on skills, experience, training, licensure and certifications and location. Base Pay Range: Minimum $84,375.00 USD — Maximum $140,000.00 USD Benefits
- Santander Benefits information available via the provided link. Equal Opportunity
EEO Statement: At Santander, we value and respect differences in our workforce. 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. What Else You Need To Know
Working conditions include frequent, minimal physical effort such as sitting, standing and walking. Depending on location, occasional moving and lifting of light equipment may be required. This job description is not a contract for employment and Santander reserves the right to revise this description at any time. What To Do Next: If this sounds like a role you are interested in, then please apply. We are committed to providing an inclusive and accessible application process for all candidates. If you require any assistance or accommodation due to a disability or any other reason, please contact us at TAOps@santander.us to discuss your needs.
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