527 IT & Software Developer jobs in the US
Data Scientist - Fraud Analysis
$93,770 - 168,790
USAA
Fredericksburg Road 9800, SAN ANTONIO + Remote
$93,770 - 168,790
Requirements
Must:
- Bachelor’s degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, engineering, or a related quantitative field; or 4 years of equivalent experience in statistics or analytics may substitute for a degree.
- At least 2 years of experience in predictive analytics or data analysis, or an advanced degree (e.g., Masters, PhD) in a quantitative discipline.
- Proficient in training and validating sophisticated analytics models, including statistical and machine learning models.
- Experience with one or more programming languages (e.g., Python, R) suitable for statistical analysis and AI/ML model development.
- Capability to write clear, detailed, and well-commented code for transparency.
- Familiarity with querying and preprocessing data from various databases using SQL, HQL, NoSQL, etc.
- Experience handling structured, semi-structured, and unstructured data formats, such as CSV, JSON/XML, and text files.
- Knowledge in performing ad-hoc analytics using descriptive, diagnostic, and inferential statistics.
- Understanding of classical supervised modeling techniques like regression, decision trees, and support vector machines.
- Familiarity with unsupervised modeling methods, including clustering algorithms.
- Strong communication skills to convey analytical findings to non-technical stakeholders.
Responsibilities
- Develop and regularly update internal fraud models for transactions and payments, employing advanced statistics and AI/ML techniques.
- Collaborate with strategies and model management teams to identify and fulfill modeling requirements.
- Foster continuous innovation in modeling initiatives within the fraud space.
- Work with the analytics community to promote best practices and methodologies.
- Analyze structured and unstructured data to provide business solutions.
- Choose appropriate modeling techniques based on data availability and business objectives.
- Create and implement models in alignment with Model Development Control (MDC) and Model Risk Management (MRM) frameworks.
- Prepare technical documentation for knowledge retention and risk management purposes.
- Mentor peers and engage in knowledge sharing as necessary.
- Translate business requirements into specific analytical questions, execute analysis/modeling, and present findings to business partners.
- Collaborate with Data Engineering and IT teams to align analytical solutions with customer expectations and compliance standards.
- Seek opportunities to learn and apply new analytic techniques and methodologies.
- Ensure risks related to business activities are effectively identified, measured, and managed in line with compliance policies.
Description
At USAA, we are dedicated to empowering our members towards financial security through exceptional offerings, service, and guidance, especially for the military community and their families. This position is for a Data Scientist II within our Fraud division, focusing on developing machine learning models to enhance our fraud detection and prevention capabilities. We provide a flexible work environment where individuals are expected to be in the office four days a week, with the option to work remotely in the continental U.S. This role can be based in multiple locations including San Antonio, TX, and Phoenix, AZ, among others. We offer competitive compensation and comprehensive benefits that prioritize our employees well-being, including health plans, a 401(k), paid time off, and professional development opportunities.
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How many Data Engineer jobs are in the United States?
Currently, there are 527 Data openings. Check also: Spark jobs, Snowflake jobs, Kafka jobs, Hadoop jobs - all with salary brackets.
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Which companies are hiring for Data Engineer jobs in the United States?
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The company with most openings is USAA as they are hiring for 87 different Data Engineer jobs in the United States. They are probably quite committed to find good Data Engineers.
The company with most openings is USAA as they are hiring for 87 different Data Engineer jobs in the United States. They are probably quite committed to find good Data Engineers.