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Insurance Computer Science Jobs in New York (NOW HIRING)

PepsiCo

Data Science Associate Manager

Manhattan, NY

$120K - $205K/yr

... EAP), Insurance (Accident, Group Legal, Life), Defined Contribution Retirement Plan. Qualifications * Master's Degree in Data Science, Computer Science, Statistics, or equivalent * 5+ years of ...

Eclaro

Computer Operator

Jamaica, NY

$31/hr

... process business, scientific, engineering, and other data according to operating instructions ... Insurance through ECLARO If interested, you may contact: Gail Ramos Honey.Ramos@eclaro.com ...

Eclaro

Computer Operator

Jamaica, NY

$31/hr

... process business, scientific, engineering, and other data according to operating instructions ... Insurance through ECLARO If interested, you may contact: Gail Ramos Honey.Ramos@eclaro.com ...

Omnicom Media US PHD

Director, Data Science

New York, NY · On-site

$120K - $175K/yr

A university degree in mathematics, computer science, statistics or related field, and 7-10 years ... For this role, benefits include: health insurance, vision insurance, dental insurance, 401(k) ...

Omnicom Media US H&S

Director, Data Science

New York, NY · On-site

$120K - $175K/yr

A university degree in mathematics, computer science, statistics or related field, and 7-10 years ... For this role, benefits include: health insurance, vision insurance, dental insurance, 401(k) ...

Gartner, Inc.

Director, Data Science

Stamford, CT · On-site

Master's Degree or PhD in a quantitative field (math, computer science, engineering, etc.) required ... Competitive salary, generous paid time off policy, charity match program, Group Medical Insurance ...

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All JobsInsurance Computer Science JobsInsurance Computer Science Jobs in New York

Insurance Computer Science information

What is the difference between Insurance Computer Science vs Insurance Underwriter?

AspectInsurance Computer ScienceInsurance Underwriter
Required CredentialsDegree in Computer Science, Data Analysis certificationsDegree in Business, Finance, or Risk Management
Work EnvironmentTech-focused, data-driven, often in offices or remoteOffice setting, assessing risks, interacting with clients and agents
Employer & Industry UsageInsurance companies, tech firms, insurtech startupsInsurance carriers, brokerage firms, underwriting agencies
Common Search & ComparisonInsurance Computer Science vs Insurance Underwriter

Insurance Computer Science professionals focus on developing and managing insurance-related software, data analysis, and technology solutions. In contrast, Insurance Underwriters evaluate risks and determine policy terms. Both roles are vital in the insurance industry but differ in skills, work environment, and daily responsibilities.

What is Insurance Computer Science?

Insurance Computer Science is a specialized field that focuses on applying computer science principles, such as programming, data analysis, and systems development, to the insurance industry. Professionals in this area develop software applications, analyze large datasets, and create algorithms to streamline insurance processes like underwriting, claims management, and risk assessment. Their work helps insurance companies improve efficiency, reduce fraud, and deliver better customer experiences through technology. As digital transformation continues, the demand for computer science experts in insurance is growing rapidly.

Which CS has the highest salary?

In the field of computer science, roles such as machine learning engineers, data scientists, and software architects tend to have the highest salaries. These positions often require advanced skills, certifications, and experience in areas like AI, big data, and cloud computing.

What are some common challenges faced by computer science professionals working in the insurance industry?

Computer science professionals in the insurance industry often navigate challenges such as integrating legacy systems with modern technologies, ensuring data security for sensitive customer information, and adapting to frequent regulatory changes. Additionally, they may need to collaborate closely with actuaries, underwriters, and business analysts to develop and maintain robust software solutions that support underwriting, claims processing, and risk analysis. The fast pace of technological advancements in areas like AI, machine learning, and data analytics also requires continuous learning and adaptation.

What are the key skills and qualifications needed to thrive as an Insurance Computer Science professional, and why are they important?

To thrive as an Insurance Computer Science professional, you need a strong background in computer science principles, data analysis, and a solid understanding of insurance industry processes, typically supported by a relevant degree. Familiarity with programming languages (such as Python, Java, or SQL), data analytics tools, and insurance software systems is highly valued, and certifications like CPCU or relevant IT credentials can enhance your profile. Analytical thinking, problem-solving abilities, and effective communication are vital soft skills for collaborating with technical and non-technical stakeholders. These skills ensure the creation of robust technology solutions that optimize insurance operations and support sound business decisions.
What are popular job titles related to Insurance Computer Science jobs in New York? For Insurance Computer Science jobs in New York, the most frequently searched job titles are:
What job categories do people searching Insurance Computer Science jobs in New York look for? The top searched job categories for Insurance Computer Science jobs in New York are:
What cities in New York are hiring for Insurance Computer Science jobs? Cities in New York with the most Insurance Computer Science job openings:
Insurance Computer Science jobs near you
Infographic showing various Insurance Computer Science job openings in New York as of June 2026, with employment types broken down into 72% Full Time, and 28% Contract. Highlights an 46% In-person, 27% Hybrid, and 27% Remote job distribution.
Quants Associate - Data Science

Quants Associate - Data Science

Royal Bank of Canada

New York, NY • On-site

$110K - $135K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago

Job description

Job Description
Junior Data Scientist - Quantitative Analytics
What is the opportunity?
This role exists within our Quant organization to help turn large, complex datasets into clear insights that support better decision-making across the team. You'll sit within a cross-asset quant team where different members specialize in equities, municipal bonds, corporate bonds, and other asset classes. You'll develop deep expertise in one area while gaining broader exposure to how data science is applied across multiple markets.
The Junior Data Scientist will work closely with senior quants and team members to build, test and improve data-driven models that enhance pricing, risk assessment, and operational efficiency. By delivering reliable analysis and scalable tools, this role contributes to more informed strategies, improved performance, and reduced manual effort. It supports the team's broader goal of using data to drive smarter, faster, and more consistent business outcomes.
What will you do?
  • Collaborate with traders, quants, and senior team members to translate business questions into data-driven solutions
  • Develop and test statistical and machine learning models to support pricing, risk, and decision-making
  • Analyze structured and unstructured data to identify patterns, trends, and actionable insights
  • Develop specialized expertise in one asset class (such as equities, municipal bonds, or corporate bonds) while collaborating with team members working across other markets
  • Monitor model performance and improve accuracy through ongoing validation and refinement
  • Create clear visualizations and reports to communicate findings to both technical and non-technical stakeholders
  • Assist with automating manual processes to improve efficiency and scalability across workflows
  • Build and maintain data pipelines to collect, clean, and organize large datasets for analysis
What do you need to succeed?
Must-have
  • Master's degree in computer science, mathematics, statistics, engineering, or related quantitative field. PhD is a plus.
  • Strong programming skills in Python, including experience with data analysis libraries such as Pandas and NumPy
  • Hands-on experience building and evaluating machine learning models using frameworks such as scikit-learn, PyTorch, or TensorFlow
  • Strong foundations in probability and statistics, including hypothesis testing and analysis techniques
  • Experience working with real-world datasets and developing data-driven solutions through academic or project work

Nice-to-have
  • Experience with KDB/q or familiarity with time-series databases and large-scale data systems
  • Basic knowledge of SQL and working with relational databases
  • Experience with Java or other object-oriented programming languages
  • Interest in financial markets and curiosity about how different asset classes operate
What's in it for you?
  • Work on real-world datasets and models that directly influence business decisions and outcomes
  • Gain hands-on experience in machine learning and data analysis while building production-level tools
  • Learn from experienced quants and team members in a collaborative and high-performing environment
  • Develop deep expertise in one asset class while gaining exposure to data science applications across equities, fixed income, and other markets
  • Contribute to meaningful projects that improve efficiency and reduce manual processes across the team
  • Clear progression path with opportunities to take on increasingly complex projects and grow into senior technical roles
  • Competitive compensation and a comprehensive benefits package supporting your overall well-being

The Expected Salary Range For The Above Position Is $110,000 - $135,000 Depending On Factors Including But Not Limited To The Candidate'S Experience, Skills, Registration Status; Market Conditions; And Business Needs. This Salary Range Does Not Include Other Elements Of Total Compensation, Including A Discretionary Bonus And Benefits Such As A 401(K) Program With Company-Matching Contributions; Health, Dental, Vision, Life And Disability Insurance; And Paid Time-Off Plan.
Rbc'S Compensation Philosophy And Principles Recognize The Importance Of A Highly Qualified Global Workforce And Plays A Critical Role In Attracting, Engaging And Retaining Talent That:
• Drives Rbc'S High Performance Culture
• Enables Collective Achievement Of Our Strategic Goals
• Generates Sustainable Shareholder Returns And Above Market Shareholder Value
#LI-POST
Job Skills
Analytics, Computer Science, Critical Thinking, Data Science, Economic Analysis, Financial Derivatives, Financial Instruments, Machine Learning (ML), Problem Solving, Python (Programming Language), Quantitative Methods, Statistics
Additional Job Details
Address:
BROOKFIELD PLACE FKA 3 WORLD FINANCIAL CENTER, 200 VESEY STREET:NEW YORK
City:
New York
Country:
United States of America
Work hours/week:
40
Employment Type:
Full time
Platform:
CAPITAL MARKETS
Job Type:
Regular
Pay Type:
Salaried
Posted Date:
2026-05-04
Application Deadline:
2026-07-24
Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above
Our Employment Opportunities
At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.
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RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.

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