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Mgtinsurance

Head of Actuary

San Francisco, CA; Denver, CO; Madison, WIHybrid · United States
Director+ · FullTime · Insurance
POSTED 7 OCT
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Role
33 days opentrue age
Posted 7 Oct
Pay
$214k–$293kno pay posted
Market p25–p75
$214k–$293k
SF Bay Area · n=819 · 365d to 6 Nov
CompanyMgtinsurance →
17open roles
Opened · 30d
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Closed · 30d
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25,396open · Director+ Other
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All tracked boards · live 10 Nov · n=25,396
Python

About MGT Insurance

MGT is the first AI-driven, neo-insurer focused on evolving commercial P&C insurance for the brokers and small business owners. By combining the expertise of industry veterans with state-of-the-art technology, we are ushering in the next evolution of commercial insurance and working to move the industry forward through the use of modern technology, better processes, and a rock-star team. We seek visionary leaders who thrive in dynamic, entrepreneurial settings, and excel in autonomous roles.

MGT Insurance is seeking a Head of Actuarial to own both pricing and reserving for our AI-native commercial P&C carrier. Reporting to the Head of Insurance, this is MGT's senior-most actuarial seat and you will set actuarial strategy and be the hands-on practitioner building the models, rate filings, and reserve estimates that MGT's underwriting, finance, and executive teams rely on.

This is a dual-mandate role spanning both sides of the actuarial function: pricing (rate adequacy, rating plan design, filed rate changes) and reserving (loss reserve estimates, IBNR, reserve adequacy testing). You will also serve as the actuarial voice into MGT's AI actuarial agent, ensuring pricing logic and risk selection signals are actuarially sound as they get embedded into an automated underwriting environment.

What You'll Do

Own MGT's pricing function including rate indications, rating plan design, rate filings, classification and territory relativities, and schedule rating logic across MGT's lines of business

Own MGT's reserving function — quarterly reserve estimates, IBNR analysis, loss development studies, and reserve adequacy testing

Serve as the actuarial sign-off for rate filings submitted to state insurance departments; partner with Legal and Compliance on regulatory rate justification

Partner with Underwriting on rate adequacy by class, segment, and geography — flagging pricing inadequacy or opportunity as the book develops

Serve as the actuarial SME for Athena, MGT's AI underwriting agent — validating that pricing logic, appetite signals, and risk scoring embedded into the platform are actuarially sound

Own loss trend analysis and translate findings into pricing and underwriting guideline recommendations

Partner with Finance on reserve-related financial reporting, statutory filings, and audit support

Contribute actuarial perspective to reinsurance treaty structuring, submissions, and loss pick discussions

Present pricing and reserving results to the Co-CEOs, board, and external stakeholders including reinsurers and auditors

Build actuarial infrastructure; data pipelines, modeling standards, and documentation that scales as MGT's book grows

Evaluate and incorporate new data sources and modeling techniques (including AI/ML-driven pricing approaches) into MGT's actuarial practice

What You Bring

10+ years of actuarial experience in commercial P&C insurance, with direct experience in both pricing and reserving

Demonstrated experience owning rate filings and reserve estimates independently — not just supporting them

Strong technical foundation: GLMs, loss development triangles, rate indication methodology, and reserve adequacy testing

Experience working with state insurance department rate filing requirements and processes

Ability to translate complex actuarial analysis into clear recommendations for underwriting, product, and executive stakeholders

Comfortable operating as a build-from-scratch or small-team actuarial function — hands-on with the work, not just directing others

Preferred Qualifications

FCAS or ACAS designation strongly preferred; candidates with substantial equivalent experience and progress toward fellowship will be considered

Experience in small commercial or BOP lines specifically

Experience integrating actuarial models into real-time underwriting or quoting systems — API-driven or AI agent environments

Experience with reinsurance treaty structuring and loss pick development

Proficiency in R, Python, or similar tools for actuarial modeling and analysis

Source · MgtinsuranceFirst seen 7 NovOriginal ↗