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Actuary • stamford ct
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Director, ERM - Actuary or Data Scientist
BerkleyGreenwich, CT, United StatesActuary - Primary Casualty
AXA GroupSTAMFORD, CONNECTICUT, UNITED STATES- Promoted
Director, ERM - Actuary or Data Scientist
W. R. BerkleyGreenwich, CT, United States- Promoted
AVP Pricing Actuary
PartnerReStamford, CT, United States- Promoted
Actuary
TradeJobsWorkForce06878 Riverside, CT, USSenior Actuary Analyst
BerkleyGreenwich, CTPricing Actuary - Reinsurance or Insurance - REMOTE
Work At Home Vintage ExpertsStamford, CT, US- Promoted
Senior Pricing ReInsurance Actuary II
Liberty Information Technology LimitedStamford, CT, United States- corporate strategy (from $ 160,000 to $ 239,300 year)
- solutions architect (from $ 107,500 to $ 237,500 year)
- programming (from $ 146,419 to $ 229,550 year)
- operations engineer (from $ 113,588 to $ 225,000 year)
- cloud architect (from $ 177,500 to $ 221,500 year)
- machine learning engineer (from $ 94,672 to $ 216,300 year)
- software architect (from $ 130,000 to $ 215,000 year)
- teaching (from $ 55,000 to $ 214,500 year)
- hospital (from $ 69,250 to $ 211,000 year)
- Orange, CA (from $ 165,750 to $ 233,600 year)
- Long Beach, CA (from $ 147,800 to $ 233,600 year)
- Milwaukee, WI (from $ 153,900 to $ 225,264 year)
- Tulsa, OK (from $ 86,100 to $ 225,000 year)
- Omaha, NE (from $ 131,300 to $ 213,100 year)
- Kansas City, KS (from $ 120,000 to $ 200,058 year)
- Kansas City, MO (from $ 120,000 to $ 200,052 year)
- New York, NY (from $ 125,792 to $ 191,022 year)
- San Diego, CA (from $ 127,500 to $ 190,850 year)
- Boston, MA (from $ 134,500 to $ 190,500 year)
The average salary range is between $ 120,000 and $ 184,676 year , with the average salary hovering around $ 142,176 year .
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Director, ERM - Actuary or Data Scientist
BerkleyGreenwich, CT, United States- Full-time
Company Details
"Our Company provides a state of predictability which allows brokers and agents to act with confidence."
Founded in 1967, W. R. Berkley Corporation has grown from a small investment management firm into one of the largest commercial lines property and casualty insurers in the United States.Along the way, we’ve been listed on the New York Stock Exchange, become a Fortune 500 Company, joined the S&P 500, and seen our gross written premiums exceed $10 billion.Today the Berkley brand comprises more than 60+ businesses worldwide and is divided into two segments: Insurance and Reinsurance and Monoline Excess. Led by our Executive Chairman, founder and largest shareholder, William. R. Berkley and our President and Chief Executive Officer, W. Robert Berkley, Jr., W.R. Berkley Corporation is well-positioned to respond to opportunities for future growth.
The Company is an equal employment opportunity employer.
Responsibilities
*Please provide a one-page resume when applying.
Enterprise Risk Management (ERM) TeamOur key risk management aim is to maximize Berkley’s return on capital over the long term for an acceptable level of risk. This requires regular interaction with senior management both in corporate and our business units. The ERM team comprises ERM actuaries and catastrophe modelers responsible for identification, quantification and reporting on insurance, investment, credit and operational risks. The ERM team is a corporate function at Berkley’s headquarters in Greenwich, CT.
The RoleThe successful candidate will collaborate with other ERM team members on a variety of projects with a focus on exposure management and catastrophe modeling for casualty (re)insurance. The candidate is expected to demonstrate expertise in data and analytics and be capable of presenting data-driven insights to senior executives.
Key responsibilities include:
Casualty Accumulation and Catastrophe Modeling• Lead the continuous enhancement of the casualty data ETL process• Analyze and visualize casualty accumulations by insureds, lines and industries to generate actionable insight for business leaders• Collaborate with data engineers to resolve complex data challenges and implement scalable solutions• Support the development of casualty catastrophe scenarios by researching historical events and emerging risks• Model complex casualty reinsurance protections
Risk Process Automation and Group Reporting• Lead AI-driven initiatives aimed at automating key risk processes and projects• Contribute to Group-level ERM reports, including deliverables to senior executives, rating agencies and regulators
Qualifications
• Minimum of 5 years of experience in P&C (re)insurance, with a focus on casualty• Proficiency in R/Python and Excel• Strong verbal and written communication skills• Proven ability to manage multiple projects and meet deadlines in a dynamic environment
Education Requirement
• Minimum of Bachelor’s degree required (preferably in STEM)• ACAS/FCAS is a plus