Verified recordFinancial Services

Edward Tam

Director at Dataly Actuarial

Based in Sydney, Australia

View on LinkedIn

7-day free trial · no credit card

Seniority

Director

Department

General Business & Management

Location

Sydney

Industry

Financial Services

Company size

23

Contact information

Reveal Edward's email and phone

Direct contact data is gated. Sign up and reveal. You only pay for verified records.

Email

1 credit

e•••••••@datalyactuarial.com

Phone

5 credits

+61 ••• •••• ••••

You only pay for valid records. Bounced emails and disconnected numbers cost nothing.

Background

About Edward Tam

An actuary with broad based experience in life insurance and superannuation, I have over 15 years of direct office experience (in particular related to Group Risk) and working with large and small life insurers and reinsurers since joining KPMG Actuarial in 2007. KPMG Actuarial Life Insurance team have 70 staff based in Sydney and Melbourne, we are proud to be Australia's largest life insurance actuarial consulting practice. We are widely regarded as Australia's leading firm in risk insurance advisory, and run Australia's only industry wide mortality and morbidity studies since 2008. We recruit the best and brightest actuaries and insurance professionals in the industry. Specialty: life insurance strategy, business advisory, appointed actuary, risk based capital, group and individual risk pricing & reserving, unit linked financial control, embedded value and MCEV, risk management, Prophet Development, model validation, insurance accounting standards, disability income.

Decision-makers

Other people at Dataly Actuarial

Browse the Dataly Actuarial team →

Build a list of verified contacts at Dataly Actuarial

Free for 7 days · 50 credits · no card · only pay for verified records.

Start free

Reach more buyers like Edward

250M+ professionals with verified email and phone. You only pay for records that actually verify.

7-day trial · no credit card · cancel anytime

Edward Tam Email & Phone Number @ Dataly Actuarial | Kipplo Discover