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Insurance Data Processing Jobs in Connecticut (NOW HIRING)

AQR

Data Scientist, Machine Learning

Greenwich, CT · On-site

$180K - $200K/yr

... to process fundamental information and manage risk. Our clients include institutional investors, such as pension funds, insurance companies, endowments, foundations and sovereign wealth funds, as ...

AQR

Data Scientist, Machine Learning

Greenwich, CT · On-site

$180K - $200K/yr

... to process fundamental information and manage risk. Our clients include institutional investors, such as pension funds, insurance companies, endowments, foundations and sovereign wealth funds, as ...

Travelers

Data Engineer I (AWS, Databricks)

Hartford, CT · On-site

$109K - $180K/yr

... insurers in the industry for over 170 years. Join us to discover a culture that is rooted in ... Analyze sources to determine value and recommend data to include in analytical processes.

Conning

Enterprise Data Management Analyst

Hartford, CT · On-site

Conning is a leading global investment management firm with a long history of serving the insurance ... investment process that relies on fundamental analysis. Summary : Maintain data quality at an ...

Conning

Enterprise Data Management Analyst

Hartford, CT · On-site

Conning is a leading global investment management firm with a long history of serving the insurance ... Apply knowledge of end-to-end data processes to analyze, cleanse, and enrich master data elements ...

Conning

Enterprise Data Management Analyst

Hartford, CT · On-site

Conning is a leading global investment management firm with a long history of serving the insurance ... investment process that relies on fundamental analysis. Summary : Maintain data quality at an ...

Palco

PROCESSING SPECIALIST I

Hartford, CT · On-site

Extract and import data from multiple programs. * Process garnishments, tax levies, court orders ... Vision Insurance * Cancer Insurance * Voluntary Life Insurance * Paid Time Off * Remote work ...

City of West Haven

Director of Finance

West Haven, CT · On-site

$140K - $160K/yr

General Description Work involves responsibility for accounting, investing, data processing ... Monitors loss prevention and safety programs as they relate to risk management; directs insurance ...

City of West Haven

Director of Finance

West Haven, CT · On-site

$140K - $160K/yr

... data processing, auditing, Operating and Capital budgets development, assessment, tax collection ... Monitors loss prevention and safety programs as they relate to risk management; directs insurance ...

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All JobsInsurance Data Processing JobsInsurance Data Processing Jobs in Connecticut

Insurance Data Processing information

What is insurance data processing?

Insurance Data Processing refers to the collection, entry, management, and analysis of data related to insurance policies, claims, customers, and transactions. Professionals in this field use specialized software and systems to ensure that insurance information is accurate, up-to-date, and secure. Their work supports the smooth operation of insurance companies by helping to process claims, issue policies, and generate reports for decision-making. Accuracy and attention to detail are crucial in this role due to the sensitive nature of insurance data.

What are the key skills and qualifications needed to thrive as an insurance data processing specialist?

To thrive as an Insurance Data Processing Specialist, you need strong attention to detail, proficiency in data entry, and a solid understanding of insurance terminology, typically supported by a high school diploma or relevant associate degree. Familiarity with insurance management software, claims processing systems, and database tools such as Microsoft Excel is commonly required. Excellent organizational skills, problem-solving abilities, and effective communication help you excel in managing large volumes of sensitive information. These skills ensure accuracy, minimize errors, and support efficient operations within insurance organizations.

What are some common challenges faced in an insurance data processing role and how can they be addressed?

One of the main challenges in Insurance Data Processing is managing large volumes of sensitive data accurately and efficiently, especially when dealing with tight deadlines and evolving regulatory requirements. Errors in data entry or processing can impact claims or policy management, making attention to detail and strong organizational skills essential. To address these challenges, many teams rely on robust data management software, regular training, and collaborative workflows to ensure accuracy and compliance. Proactively seeking feedback and staying updated on industry best practices can also help professionals excel in this role.

What is the difference between Insurance Data Processing vs Insurance Claims Processing?

AspectInsurance Data ProcessingInsurance Claims Processing
Required CredentialsTypically high school diploma or equivalent; some roles may require certifications in data managementHigh school diploma or equivalent; often requires knowledge of claims procedures and insurance policies
Work EnvironmentOffice setting, working with databases and data entry systemsOffice environment, interacting with claim documents and insurance systems
Employer & Industry UsageInsurance companies, third-party administrators, data service providersInsurance companies, claims adjusters, third-party claims processors

Insurance Data Processing involves managing and organizing insurance-related data, focusing on data accuracy and database management. Insurance Claims Processing centers on evaluating and processing insurance claims submitted by policyholders, ensuring proper documentation and compliance. While both roles support insurance operations, Data Processing emphasizes data management, whereas Claims Processing focuses on claim evaluation and settlement.

What are popular job titles related to Insurance Data Processing jobs in Connecticut?

For Insurance Data Processing jobs in Connecticut, the most frequently searched job titles are:

What job categories do people searching Insurance Data Processing jobs in Connecticut look for?

The top searched job categories for Insurance Data Processing jobs in Connecticut are:

What cities in Connecticut are hiring for Insurance Data Processing jobs?

Cities in Connecticut with the most Insurance Data Processing job openings:

Data Scientist, Machine Learning

Greenwich, CT • On-site

AQR
501 - 1,000 employees
Learn more about AQRexternal

$180K - $200K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 14 days ago

Job description

About AQR Capital Management
AQR is a global investment management firm built at the intersection of financial theory and practical application. We strive to deliver superior, long-term results for our clients by seeking to filter out market noise to identify and isolate what matters most, and by developing ideas that stand up to rigorous testing. Underpinning this philosophy is an unrelenting commitment to excellence in technology - powering our insights and analysis. This unique combination has made us leaders in alternative and traditional strategies since 1998.
AQR takes a systematic, research-driven approach, applying quantitative tools to process fundamental information and manage risk. Our clients include institutional investors, such as pension funds, insurance companies, endowments, foundations and sovereign wealth funds, as well as financial advisors.
Your Role:
You will serve as a bridge between data engineering and quantitative research. Working directly with researchers, you will also be responsible for ensuring research datasets are accurate, traceable, and ready for machine learning by developing robust data preparation and quality workflows Your responsibility is to deliver clean, reliable, project-specific datasets and features to the researcher.
What You'll Do:
  • Partner directly with quantitative researchers to understand the needs of a specific machine learning project and collaboratively produce data that best fits the model and project
  • Transform raw structured and unstructured data into project-specific, research-ready datasets
  • Perform feature generation and deliver prepared datasets and features to the researcher for modeling and productionization
  • Resolve tagging, entity-matching, and linkage issues across signals, textual data, and securities
  • Build data quality assurance, quality monitoring, and profiling workflows through programmatic checks, LLM reviews where appropriate, targeted manual inspection, and feedback-driven iterative refinement
  • Build point-in-time mappings and knowledge graphs for mergers and acquisitions, bankruptcies, IPOs, and other corporate events
  • Examine and onboard alternative datasets
  • Ensure datasets are clean, traceable, and reliable for trading strategies
  • Work across different researchers and potentially concurrent projects as priorities and the scope of the role evolve
  • Communicate clearly with researchers and engineering partners

What You'll Bring:
  • 4+ years of relevant work experience
  • Strong Python programming skills, including hands-on experience with pandas and NumPy
  • Strong SQL skills and practical experience with PostgreSQL
  • Experience working with both structured data and unstructured or textual data
  • Experience with data quality, validation, monitoring, and profiling
  • Experience with Git, PyTest, CI/CD, and API development
  • Ability to reason carefully through edge cases, protect data integrity, and maintain clear documentation of data definitions, transformations, and quality checks
  • Ability to work independently, communicate clearly with technical and non-technical stakeholders, and manage work across multiple concurrent initiatives
  • Strong visualization skills

Preferred Qualifications:
  • Experience with scikit-learn, statistics, or advanced modeling techniques
  • Experience with entity resolution, entity matching, or knowledge graphs
  • Experience designing prompts and using LLM APIs for batched or large-scale investigation, validation, feature generation, and iterative refinement
  • Experience building LLM-based featurization workflows, including iterative refinement, validation, and automated testing
  • Experience with Claude Code, Codex, or AWS Bedrock
  • Experience with AWS, including S3 and Batch
  • Experience with distributed computing and large-scale data processing
  • Exposure to data governance, data cataloging, or related best practices
  • Strong Math and statistics skills
  • Experience with Pytorch
  • Prior experience in financial services, trading, quantitative research, or another research-driven environment

Who You Are:
  • Rigorous, thorough, and highly attentive to detail
  • Collaborative and able to communicate effectively with researchers and engineering partners
  • Comfortable working in an evolving role and taking on a broad range of responsibilities

AQR is an Equal Opportunity Employer. EEO/VET/DISABILITY
The salary range for this role is expected to be $180,000 to $200,000. This is the range that we in good faith believe is accurate for this role at the time of this posting. We may ultimately pay more or less than the posted range, depending upon factors such as skills, experience, location, or other business and organizational needs. This wage range may also be modified in the future.
This job is also eligible for an annual discretionary bonus.
We offer comprehensive package of benefits including paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees.
Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law.

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