AVP, Quantitative Asset Allocation
AVP, Quantitative Asset Allocation - Global Atlantic Financial Company
(NY, NY): Utilize quantitative analysis, fin'l modeling & app of quantitative techniques to solve complex investment challenges. Assist in dvlpg investment strategies to optimize asset allocation across various asset classes. REQ'MTS: Bachelor's (U.S. or foreign equiv) in Fin'l Math, Quantitative Fin'c, Econ or rel field, + 4 yrs exp in quantitative investment mgmt or rel field. Prior exp must incl 2 yrs exp in following: quantitative investment mgmt, asset allocation, portfolio mgmt. & risk mgmt; conducting quantitative modeling & fin'l analysis utilizing prog'g languages such as Python, R, MATLAB, VBA, or SQL; participating in construction of portfolios & scenario analysis to eval sensitivity to mkt fluctuations & recommend optimized strategies; assessing new investment strategies' impact on asset-liability mgmt. & underlying profitability; performing analysis on multi-asset investment portfolios & suggesting trades for portfolio rebalancing & hedging strategies to enhance risk-adjusted returns profile; dvlpg fin'l models, risk analytics & process automation to enhance investment decision-making processes; & supporting various cross-functional initiatives across fin'c, investment, & risk teams w/ regulatory compliance, reporting & optimization initiatives. Prior exp must incl 1 yr exp in following: working w/ illiquid fin'l instruments such as private credit, warrants, convertible debt, derivatives, distressed /impaired securities & other complex level 3 securities. Expected annual base sal for position is $94,000 -
$200,000.06 /yr Pls email resumes to Immigration@gafg.com . Pls specifically incl ref code "C# 8646176" in subject line of email when applying.
EEO/AAE/V/D.
Required skills
- Qualitative & Quantitative Analysis
- Investment Analysis
- SQL
- Bank Stress Testing
- Asset-Liability Management
- Basic Math Skills
- Investments
- Liability Management
- Quantitative Modelling
- Regulatory Compliance
- Python
- Derivatives / Swaps