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Convex Insurance Jobs (NOW HIRING)

Data Scientist

San Francisco, CA · On-site +1

$160K - $200K/yr

We build software to help large insurance carriers improve their portfolio optimization. Our goal ... Graduate work in an optimization related field (e.g RL, Convex Optimization, Bayesian Optimization ...

Data Scientist

San Francisco, CA · Remote

$160K - $200K/yr

We build software to help large insurance carriers improve their portfolio optimization. Our goal ... Graduate work in an optimization related field (e.g RL, Convex Optimization, Bayesian Optimization ...

Experience with optimization strategies like convex decomposition or compound colliders to support ... AD&D • Disability Insurance • Generous 401K Employer Match • Flexible Spending Account • ...

Quantitative Engineer

New York, NY · On-site

$190K - $270K/yr

We work closely with convex optimization techniques and numerical optimizations of various problems ... Unlimited PTO and great benefits, including $1 medical insurance * 401k plan with generous matching ...

We work closely with convex optimization techniques and numerical optimizations of various problems ... Unlimited PTO and great benefits, including $1 medical insurance * 401k plan with generous matching ...

Welder III

Encinal, TX · On-site

$16.75 - $22.25/hr

Visually examines weld on i.e. bead size, bead crown convex/concave, porosity, and undercut ... Insurance requirements. Language Skills Ability to read and interpret documents such as safety ...

Welder III

Encinal, TX · On-site

$16.75 - $22.25/hr

Visually examines weld on i.e. bead size, bead crown convex/concave, porosity, and undercut ... Insurance requirements. Language Skills Ability to read and interpret documents such as safety ...

Welder III

Encinal, TX · On-site

$16.75 - $22.25/hr

Visually examines weld on i.e. bead size, bead crown convex/concave, porosity, and undercut ... Insurance requirements. Language Skills Ability to read and interpret documents such as safety ...

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Convex Insurance information

See salary details

$31K

$58.2K

$86.5K

How much do convex insurance jobs pay per year?

As of Jun 9, 2026, the average yearly pay for convex insurance in the United States is $58,198.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,000.00 and $66,500.00 per year, depending on experience, location, and employer.

What is the difference between Convex Insurance vs Insurance Underwriter?

AspectConvex InsuranceInsurance Underwriter
CredentialsTypically requires insurance licenses, industry certificationsRequires similar licenses, certifications like CPCU or ARM
Work EnvironmentOffice-based, collaborative teams, insurance companies or brokersOffice or remote, assessing risk for insurance policies
Industry UsageInsurance provider, broker, or MGAInsurance companies, underwriting firms
Job FocusDeveloping insurance products, managing riskEvaluating risk, setting policy terms, approving coverage

Convex Insurance and Insurance Underwriters both operate within the insurance industry, often requiring similar credentials and working in office environments. While Convex Insurance focuses on developing insurance solutions and managing risk at a corporate level, Insurance Underwriters primarily evaluate individual risks to determine policy terms. Understanding these differences helps job seekers identify the right career path within the insurance sector.

What are some common challenges faced by underwriters at Convex Insurance, and how can new hires effectively navigate them?

Underwriters at Convex Insurance often face challenges such as evaluating complex risks, adapting to evolving regulatory requirements, and balancing profitability with customer satisfaction. New hires can navigate these challenges by proactively seeking mentorship from experienced colleagues, participating in ongoing training programs, and staying updated on industry trends and compliance standards. Collaboration with actuaries, claims teams, and brokers is key to making informed decisions and building strong client relationships. Embracing technology and data analytics tools provided by the company can also streamline workflows and improve risk assessment accuracy.

What does convex insurance do?

Convex Insurance is a company that provides insurance products and risk management solutions, often focusing on specialty lines such as cyber, professional liability, and property insurance. Employees in related roles may analyze risks, develop policies, and use industry tools to assess coverage needs and claims handling.

What is Convex Insurance and what does the company do?

Convex Insurance is a specialty insurance and reinsurance company that provides coverage for complex and large-scale risks. Founded in 2019, Convex operates in the London and Bermuda insurance markets, offering products across property, casualty, marine, energy, aviation, and reinsurance lines. The company is known for its experienced team, innovative underwriting, and focus on tailored solutions for clients' unique needs. Convex serves a global client base, helping businesses manage risk and recover from unforeseen events.

What are the key skills and qualifications needed to thrive as an Insurance Underwriter at Convex Insurance, and why are they important?

To thrive as an Insurance Underwriter at Convex Insurance, you need strong analytical skills, attention to detail, and a solid understanding of risk assessment, typically backed by a degree in finance, business, or a related field. Familiarity with underwriting software, risk modeling tools, and industry certifications such as ACII (Associate of the Chartered Insurance Institute) is highly valuable. Excellent communication, negotiation, and decision-making skills help in building client relationships and collaborating with brokers and other stakeholders. These abilities ensure accurate risk evaluation, profitable portfolios, and effective client service in a competitive insurance market.
More about Convex Insurance jobs
What job categories do people searching Convex Insurance jobs look for? The top searched job categories for Convex Insurance jobs are:
Infographic showing various Convex Insurance job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $58,198 per year, or $28 per hour.
Powertrain System Modeling Engineer (multiple levels)

Powertrain System Modeling Engineer (multiple levels)

Joby Aviation

San Carlos, CA • On-site

$109K - $189K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 10 days ago


Job description

Company Overview

Imagine a piloted air taxi that takes off vertically, then quietly carries you and your fellow passengers over the congested city streets below, enabling you to spend more time with the people and places that matter most. At Joby, we've been working to make that dream a reality since 2009 and we're now in the final stages of certifying our aircraft with the FAA. With plans to launch our aircraft in the US and Dubai, we're now scaling manufacturing and preparing for the launch of our commercial service.

Overview

Joby Aviation is seeking a passionate and driven engineer to join our powertrain modeling and algorithms team. Our team (1) builds and validates models of Joby's advanced electric powertrain systems, then applies them to (2) assess and report system level performance and sensitivities, using (3) numerical optimization (convex and nonlinear programming) to (4) perform trade studies and optimize hardware designs, and to (5) develop model-based algorithms for critical flight applications (e.g. range prediction).

The role requires you to bring a strong foundation in modeling and simulation techniques, numerical optimization, data science, electric powertrains, thermal systems, and general engineering fundamentals. You'll need to be adept at working both independently and collaboratively (regularly working with a cross-functional team of subject matter experts from different engineering disciplines).

Responsibilities
  • Collaboratively develop and maintain a powertrain-focused vehicle-level model, interacting closely with subject matter experts from battery, motor, inverter, thermal, and other hardware teams.
  • Maintain and enhance the model codebase in Python and Matlab/Simulink.
  • Use convex/NLP numerical optimization to conduct regular system or component-level performance and sensitivity analyses.
  • Support cross-disciplinary trade studies to solve present engineering problems and guide future hardware development.
Required
  • A Master of Science in Aerospace, Mechanical, or Electrical Engineering (or equivalent) (or real-world experience that demonstates a Bachelor's was enough).
  • Strong understanding of the fundamentals of Differential Equations and their numerical solutions methods, and linear algebra.
  • Proficiency with numerical optimization including convex optimization and nonlinear programming. Experience with gradient-based solvers, interior point methods, and problem formulation. Experience coding with tools such as CasADI, IPOPT, SNOPT, or cvxpy.
  • 3-5 years of experience in the modeling and analyzing of dynamical systems (mechanical, electrical, and thermofluids).
  • Experience in the developing, analyzing, and/or modeling of electric powertrain systems (e.g., lithium-ion batteries, stepper and brushless electric motors, inverters, thermal systems).
  • Expert in Python. Proficient in MATLAB and Simulink. Experience in parallel computing is a plus.
  • Knowledge of version control software (e.g. Git) and experience working on collaborative software projects.
  • Self motivated and able to work independently.
  • Strong collaborator and effective communicator (cross-team collaborations and relationships are critical to our success).
Desired
  • A Masters or Doctorate in Aerospace, Mechanical, or Electrical Engineering (or equivalent).
  • Expertise in advanced modeling of lithium-ion batteries, electric motors, inverters, or similar.
  • Expertise in thermofluid systems and their modeling, including air-and liquid-cooled systems.
  • Experience in the aerospace industry.
  • Advanced data science skills.
  • Experience in validating complex models with various data sources.
  • Expertise in system and parameter identification methods.
  • Expertise in data-driven modeling techniques.
  • Understanding of linear and nonlinear system theory concepts (e.g., system stability, observability/identifiability).
Additional Information

Compensation at Joby is a combination of base pay and Restricted Stock Units (RSUs). The target base pay for this position is $109,000 - $189,000/yr. The compensation package will be determined by job-related knowledge, skills, and experience.

Joby also offers a comprehensive benefits package, including paid time off, healthcare benefits, a 401(k) plan with a company match, an employee stock purchase plan (ESPP), short-term and long-term disability coverage, life insurance, and more.

Joby is an Equal Opportunity Employer

Employment Type: FULL_TIME