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Internship Data Scientist Risk Jobs in Georgia (NOW HIRING)

Us Bank

Data Scientist

Atlanta, GA · On-site

$112 - $131/hr

... risk indicators. * Define enterprise data standards, metadata management practices, and data ... Bachelor's degree in a quantitative field such as statistics, computer science, engineering or ...

US Bank

Data Scientist

Atlanta, GA

$111K - $131K/yr

... risk indicators. * Define enterprise data standards, metadata management practices, and data ... science, engineering or applied mathematics, or equivalent work experience - Six to eight years of ...

Truist

Data Scientist I - Card Fraud

Atlanta, GA

... Data Scientist I to support card fraud and token provisioning initiatives, with a focus on digital ... This role will contribute to detecting, analyzing, and mitigating fraud risk while supporting ...

Truist

Data Scientist I - Card Fraud

Atlanta, GA · On-site

... Data Scientist I to support card fraud and token provisioning initiatives, with a focus on digital ... This role will contribute to detecting, analyzing, and mitigating fraud risk while supporting ...

RELX

Senior Data Scientist I

Alpharetta, GA · On-site

$95K - $158K/yr

Our insurance risk solutions help drive better data-driven decisions across the insurance policy ... The Sr. Data Scientist will also investigate, resolve, and document any data or code issues found.

AIG

Data Scientist, GenAI

Atlanta, GA · On-site

As a Data Scientist, you will play a critical role in developing and delivering enterprise-level Generative AI solutions, focusing on Large Language Models and Machine Learning to transform risk ...

Worldpay, Inc.

Data Scientist Sr Lead

Atlanta, GA · On-site +1

... in thearea of Risk, Fraud, Marketing, and Portfolio Management. Following the machine learning lifecycle, the data scientist should be able to convert the results into actionable product ...

FIS

Data Scientist Sr Lead

Atlanta, GA · On-site +1

... in thearea of Risk, Fraud, Marketing, and Portfolio Management. Following the machine learning lifecycle, the data scientist should be able to convert the results into actionable product ...

View Moreicons

Senior Data Scientist

Atlanta, GA · On-site

$92 - $95/hr

Job Title Senior Data Scientist Location Atlanta, GA, and various and unanticipated locations ... social risk. Qualifications * Bachelor's degree or foreign equivalent in Engineering (any), Data ...

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Internship Data Scientist Risk information

What does an internship data scientist risk do?

An Internship Data Scientist Risk assists in analyzing data to identify, assess, and mitigate risks within an organization, often in fields like finance, insurance, or technology. They work with senior data scientists to build predictive models, analyze trends, and generate insights that support risk management strategies. Typical tasks include data cleaning, statistical analysis, and reporting findings to help the company make informed decisions. This internship provides hands-on experience with real-world data and risk scenarios, preparing interns for more advanced data science or risk analysis roles.

What types of projects can an internship data scientist risk expect to work on, and how do these contribute to the organization's goals?

Internship data scientists in risk typically work on projects such as developing predictive models to assess credit risk, analyzing transaction data to detect fraud, and generating insights to improve risk management strategies. These assignments often involve collaborating with experienced data scientists, risk analysts, and business teams to ensure that models are both accurate and actionable. By contributing to these projects, interns help the organization make informed decisions that minimize financial losses and ensure regulatory compliance. The hands-on experience not only builds technical skills but also provides valuable exposure to real-world challenges in the risk domain.

What are the key skills and qualifications needed to thrive as an internship data scientist risk, and why are they important?

To thrive as an Internship Data Scientist in Risk, you need a solid understanding of statistics, data analysis, and programming languages like Python or R, often supported by coursework in mathematics, data science, or a related field. Familiarity with machine learning libraries (e.g., scikit-learn), data visualization tools, and database management systems is typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help distinguish candidates in this role. These skills are vital for accurately analyzing risk data, developing predictive models, and clearly presenting findings to support risk management decisions.

How much does an internship data scientist risk earn?

An internship data scientist risk typically earns between $15 and $25 per hour, depending on the company, location, and level of education. Internships often provide valuable experience in data analysis, programming, and risk assessment tools like Python or R. Compensation varies based on industry and whether the internship is paid or unpaid.

What are the most commonly searched types of Data Scientist Risk jobs in Georgia?

The most popular types of Data Scientist Risk jobs in Georgia are:

Internship Data Scientist Risk jobs near you

Data Scientist, Global Quantitative Research

Intercontinental Exchange Holdings, Inc.

Atlanta, GA • On-site

Full-time

Posted 23 days ago

Job description

Overview
Job Purpose
The Data Scientist will join the Quant Group which designs, implements, and supports enterprise quantitative models and systems. The primary role of this position will be to support the design and development of financial data models and provide data support for the Quant and Risk divisions. The role will use a variety of data science, analytics and engineering tools and techniques to solve diverse, data focused problems across the business. The candidate for this job must have the ability to work in a fast-paced environment, formulate and articulate solutions, defend assumptions and be highly detail oriented. This role requires frequent interaction with Quant Research, Risk Managers, Developers and Senior Management.
Responsibilities
  • Perform data exploration and statistical analysis for quantitative research purposes
  • Data preparation, validation, and visualization of various data sets such as time series of financial derivatives
  • Build production quality, data driven software solutions to support data management and analysis
  • Develop ETL applications to support core quant and risk team data requirements
  • Diagnose and profile data issues and recommend ways to improve data reliability, efficiency, and quality
  • Coordinate with quantitative research and business experts to develop and refine data management best practices, policies, and procedures
  • Provide documentations and/or presentations to illustrate methods, techniques, and findings for individuals with diverse professional backgrounds
  • Manage large data sets and interpret diverse database architecture across various platforms such as Oracle, Postgres, Snowflake, etc.
  • Serve as a liaison between technology, operations, product management and the Financial Engineering teams
  • Engage in innovative research tasks in the quantitative finance and data science field

Knowledge and Experience
  • Master's degree in Data Science, Engineering, Mathematics, Statistics or similar field
  • Statistical programming experience required, with strong preference for Python. Experience with R, MATLAB, C/C++ or Java is also valued
  • Working knowledge of SQL and experience working with relational databases preferred
  • Ability to work in a high-performance, high-velocity environment
  • Strong analytical and organizational skills with acute attention to detail
  • Strong communication skills
  • Customer focused and results oriented
  • Advanced Statistics knowledge related to Time Series preferred
  • Experience with code versioning tools such as Git preferred
  • Experience in Quantitative Finance and/or Financial Derivatives

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Intercontinental Exchange, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to legally protected characteristics.

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