Data Science Associate - New York

Posted 5 Days Ago
Be an Early Applicant
Park Avenue, UT
94K-160K Annually
Senior level
Financial Services
The Role
The Data Science Associate performs data analysis, collaborates on analytics projects, and supports decision-making with actionable insights. They also evaluate data vendors and recommend solutions to improve business performance.
Summary Generated by Built In

Data Science Associate - New York

Country: United States of America

USA Job Family Description: 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.

USA Job Function Description: 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.

Essential Functions/Responsibility Statements:
Translates business queries into actionable and commercial insights leveraging unstructured data and statistically robust techniques.
Drives cross functional analytics projects from beginning to end: builds relationships with partner teams, frames and structures questions, collects and analyzes data, and summarizes key insights in support of decision making.
Works with engineers to evangelize data best practices and implement analytics solutions.
Evaluation and discovery of alternative data vendors including ability to quantifiably validate external algorithms and apply insights to commercially driven use cases.
Performs quantitative analysis, including alpha assessment, risk analysis, portfolio construction and return attribution to enhance investment strategies using sourced and external data.
Leverages available data tools and collaborate with data scientists and engineers across the firm and adapts data initiatives to needs of business.
Collaborates across functional areas of our business at every level of seniority to uncover and address opportunities for scalability and growth.

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: Statistics, Computer Science, Physical Sciences, Economics, or a equivalent technical field. Req
Master's Degree Statistics, Computer Science, Physical Sciences, Economics, or a equivalent quantitative field. Pref

Work Experience:
5+ Years Data mining/advanced analytics applied to large-scale data-intensive projects. Req

Skills and Abilities:
Knowledge of the principles of machine earning, classification models, time series regression and stochastic statistics to deliver improved business performance
Demonstrated experience with SQL, R or a comparable programming language (such as Python, SAS, SPSS, or MATLAB)
Strong quantitative and problem solving skills with focus hypothesis formulation and testing.
Strong evidence of leveraging analytics to drive business results.
Strong project management skills.
Individually motivated and possess sound judgment, integrity, and a solid work ethic.
Ability to clearly communicate complex results to technical and non-technical audiences.
Ability to adapt to various programming languages and environments.
Ability to utilize analytics in a collaborative manner across business functions and product lines to derive optimum solutions.
Excellent written and verbal communication skills.
Effective time management in order to efficiently deliver concurrent projects with competing priorities.

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: 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.

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:

$93,750.00 USD

Maximum:

$160,000.00 USD

Top Skills

Matlab
Python
R
SAS
Spss
SQL
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The Company
HQ: Boadilla del Monte, Madrid
136,172 Employees
On-site Workplace

What We Do

Banco Santander (SAN SM, STD US, BNC LN) is a leading commercial bank, founded in 1857 and headquartered in Spain and one of the largest banks in the world by market capitalization. The group’s activities are consolidated into five global businesses: Retail & Commercial Banking, Digital Consumer Bank, Corporate & Investment Banking (CIB), Wealth Management & Insurance and Payments (PagoNxt and Cards). This operating model allows the bank to better leverage its unique combination of global scale and local leadership. Santander aims to be the best open financial services platform providing services to individuals, SMEs, corporates, financial institutions and governments. The bank’s purpose is to help people and businesses prosper in a simple, personal and fair way. Santander is building a more responsible bank and has made a number of commitments to support this objective, including raising €220 billion in green financing between 2019 and 2030. In the first quarter of 2024, Banco Santander had €1.3 trillion in total funds, 166 million customers, 8,400 branches and 211,000 employees.

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