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Insurance Data Processing Jobs in New York (NOW HIRING)

... data from a variety of insurance-related sources. • Perform exploratory data analysis to identify ... solutions and process efficiencies using statistical methods, database technologies, and ...

... data from a variety of insurance-related sources. • Perform exploratory data analysis to identify ... solutions and process efficiencies using statistical methods, database technologies, and ...

Senior Director, Data Architecture

Manhattan, NY · On-site

$74 - $99/hr

Starr is a global leader in commercial insurance with over a century of expertise, seeking a Senior ... in architectural processes, tooling, methodology, and capability development. • Lead ...

Insurance data modelingforanalytics and actuarial-ready data structures * MLOpsfamiliarity ... processing environments (e.g., Spark) * 2-3+ years of technical leadership or project delivery ...

Insurance data modelingforanalytics and actuarial-ready data structures * MLOpsfamiliarity ... processing environments (e.g., Spark) * 2-3+ years of technical leadership or project delivery ...

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Insurance Data Processing information

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 highest paid position in insurance?

In insurance, executive roles such as Chief Executive Officer (CEO), Chief Underwriting Officer, or Chief Risk Officer tend to be the highest paid positions, often earning six-figure salaries plus bonuses. These roles require extensive experience, leadership skills, and industry knowledge, and they oversee company strategy, underwriting, and risk management functions.

What does a data analyst do in an insurance company?

A data analyst in an insurance company collects, processes, and analyzes large datasets to identify trends, assess risks, and support decision-making. They use tools like Excel, SQL, and data visualization software to create reports and improve underwriting, claims processing, and pricing strategies.

What is the highest paid job in insurance?

In insurance, executive roles such as Chief Underwriting Officer or Chief Risk Officer tend to be the highest paid, often earning six-figure salaries plus bonuses. These positions require extensive industry experience, leadership skills, and often advanced certifications like CPCU or ARM.

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 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 is the highest paying data entry job?

In the field of insurance data processing, senior or specialized roles such as data analysts or claims processors tend to have higher salaries, especially those with advanced skills in database management, data analysis tools, or certifications. These positions often require experience and technical proficiency, leading to higher compensation compared to entry-level data entry roles.

What are the key skills and qualifications needed to thrive as an Insurance Data Processing Specialist, and why are they important?

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 popular job titles related to Insurance Data Processing jobs in New York? For Insurance Data Processing jobs in New York, the most frequently searched job titles are:
What job categories do people searching Insurance Data Processing jobs in New York look for? The top searched job categories for Insurance Data Processing jobs in New York are:
What cities in New York are hiring for Insurance Data Processing jobs? Cities in New York with the most Insurance Data Processing job openings:
Blackstone Credit & Insurance(BXCI) - Insurance Data Operations - Senior Vice President

Blackstone Credit & Insurance(BXCI) - Insurance Data Operations - Senior Vice President

Blackstone

New York, NY • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago


Job description

Blackstone is the world's largest alternative asset manager. We seek to create positive economic impact and long-term value for our investors, the companies we invest in, and the communities in which we work. We do this by using extraordinary people and flexible capital to help companies solve problems. Our $1.1 trillion in assets under management include investment vehicles focused on private equity, real estate, public debt and equity, infrastructure, life sciences, growth equity, opportunistic, non-investment grade credit, real assets and secondary funds, all on a global basis. Further information is available at www.blackstone.com. Follow @blackstone on LinkedIn, X, and Instagram.
Job Title: Insurance Data Operations
Business Unit: Blackstone Credit and Insurance
Job Summary
Blackstone is seeking a seasoned Data Governance/Data Operations leader with deep expertise in Insurance related data to own the end-to-end lifecycle of data across private credit, insurance, and related investment platforms. In this role, you will establish and enforce governance standards, steward data quality and transparency between internal platforms and client data needs within data operations (ingestion, normalization, controls, and reporting). You will partner closely with investment, risk, technology, accounting, and compliance teams to ensure data is accurate, timely, and decision-ready-supporting portfolio construction, surveillance, valuations, and regulatory reporting in a high-performance, regulated environment.
Key Responsibilities
Insurance Data Operations
  • Operationalize insurance deal KPIs within our central data warehouse.
  • Collaborate with internal and external stakeholders to develop the future insurance reporting platform.
  • Execute daily and weekly control processes on insurance data to ensure clients receive current and accurate information.
  • Build data pipelines and APIs between Snowflake (warehouse), Intex/quant libraries (analytics), Axiom/Clearwater (accounting), and Sigma/BI (reporting).

Controls, Compliance, and Reporting
  • Implement control frameworks for data (pre-/post-ingestion checks, anomaly detection, duplicate prevention, referential integrity).
  • Support insurer/statutory reporting (NAIC designations, SSAP 26R/43R data elements) and audit-readiness.
  • Deliver executive-ready KPIs on data quality, operational SLAs, and portfolio impacts; lead remediation programs for systemic data issues.

Stakeholder Partnership
  • Partner with PMs, research, and risk to deliver decision-ready datasets for portfolio construction, hedging, and scenario analysis.
  • Work with technology to implement scalable ETL, lineage, catalog, and data-access controls; coordinate with compliance/legal on data usage (including PII when applicable).
  • Interface with external trustees, servicers, rating agencies, and data vendors; manage vendor SLAs and change notifications (file formats, delivery schedules).

Leadership and Change Management
  • Mentor team members, ensuring expertise in insurance data processes. Develop coverage and incident response playbooks tailored to insurance-related data issues.
  • Manage cross-functional projects such as onboarding new insurance deals, migrating insurance platforms, and integrating new insurance data vendors. Oversee timelines, testing, cutover strategies, and post-implementation reviews specific to insurance requirements.
  • Promote data literacy across investment and operations teams focused on insurance. Document standards and SOPs relevant to insurance portfolios and reporting.

Qualifications
Education and Experience
  • Bachelor's degree in STEM, Finance, Business, Data Management, or related field; advanced degree preferred.
  • 7-12+ years in data governance/data operations, with 7-10+ years directly in insurance related investing across asset classes (public/private corporate credit, ABS, Mortgage etc.).
  • Demonstrated ownership of data pipelines between internal and external accounting platforms.

Technical Expertise
  • SQL skills are necessary for insurance-related data operations tasks, such as manipulating datasets for regulatory reporting and compliance. Python nice to have.
  • Proficiency in Snowflake is critical for managing insurance data warehousing, while familiarity with Sigma and Alation supports BI reporting and navigating data lineage for insurer participants.
  • Expertise in tools like Intex ensures robust insurance portfolio analytics, while Bloomberg and ICE/Markit streamline insurance pricing and sensitivities.
  • Knowledge of accounting systems (e.g., Axiom, Clearwater, Aladdin) and regulatory principles (GAAP/STAT for SSAP 26R/43R reporting) is beneficial for handling insurance portfolios and compliance.

Domain Knowledge
  • Deep understanding of valuation, risk, and insurance-specific requirements, including pricing sources, model validation, sensitivity/scenario analysis, NAIC designations, SSAP 26R/43R, and GAAP/STAT reporting for insurance portfolios.
  • Strong data governance and control expertise, encompassing pre-/post-ingestion checks, anomaly detection, referential integrity, compliance with data usage/PII requirements, and robust control frameworks to minimize data anomalies and ensure audit readiness.
  • Proven ability to manage end-to-end data lifecycles and deliver accurate, decision-ready data across insurance asset classes (public/private credit, ABS, mortgages), integrating standardized identifiers and analytics from platforms like Intex, Bloomberg, and ICE/Markit, using modern technologies such as Snowflake, Sigma, and Alation.

The duties and responsibilities described here are not exhaustive and additional assignments, duties, or responsibilities may be required of this position. Assignments, duties, and responsibilities may be changed at any time, with or without notice, by Blackstone in its sole discretion.
Expected annual base salary range:
$180,000 - $275,000
Actual base salary within that range will be determined by several components including but not limited to the individual's experience, skills, qualifications and job location. For roles located outside of the US, please disregard the posted salary bands as these roles will follow a separate compensation process based on local market comparables.
Additional compensation and benefits offered in connection with the role consist of comprehensive health benefits, including but not limited to medical, dental, vision, and FSA benefits; paid time off; life insurance; 401(k) plan; and discretionary bonuses. Certain employees may also be eligible for equity and other incentive compensation at Blackstone's sole discretion.
Blackstone is committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, creed, religion, sex, pregnancy, national origin, ancestry, citizenship status, age, marital or partnership status, sexual orientation, gender identity or expression, disability, genetic predisposition, veteran or military status, status as a victim of domestic violence, a sex offense or stalking, or any other class or status in accordance with applicable federal, state and local laws. This policy applies to all terms and conditions of employment, including but not limited to hiring, placement, promotion, termination, transfer, leave of absence, compensation, and training. All Blackstone employees, including but not limited to recruiting personnel and hiring managers, are required to abide by this policy.
If you need a reasonable accommodation to complete your application, please contact Human Resources at 212-583-5000 (US), +44 (0)20 7451 4000 (EMEA) or +852 3656 8600 (APAC).
Depending on the position, you may be required to obtain certain securities licenses if you are in a client facing role and/or if you are engaged in the following:
  • Attending client meetings where you are discussing Blackstone products and/or and client questions;
  • Marketing Blackstone funds to new or existing clients;
  • Supervising or training securities licensed employees;
  • Structuring or creating Blackstone funds/products; and
  • Advising on marketing plans prepared by a sales team or developing and/or contributing information for marketing materials.

Note: The above list is not the exhaustive list of activities requiring securities licenses and there may be roles that require review on a case-by-case basis. Please speak with your Blackstone Recruiting contact with any questions.
To submit your application please complete the form below. Fields marked with a red asterisk * must be completed to be considered for employment (although some can be answered "prefer not to say"). Failure to provide this information may compromise the follow-up of your application. When you have finished click Submit at the bottom of this form.