Sr. Associate/ Vice President, Structured Products, Ares Insurance Solutions (AIS)

Ares Operations•New York, NY

About The Position

The Ares Insurance Solutions team is seeking an experienced structuring resource to assist in creating and maintaining deal models, compiling monthly updates for collateral and deal information, and supporting the development of a stochastic simulation platform for portfolio asset cashflows. This role will also support broader risk and analytics needs for the team.

Requirements

3+ years of Intexwrap and Intex Dealmaker experience within a financial services firm
4+ years of practical experience of model development in Python, preferably in a production environment, is essential
3+ years of experience modeling structured deal waterfalls in Intex and creating/maintaining/updating CDI/CDU deal files
Basic understanding of modern financial mathematics (e.g. bond mathematics, Monte Carlo simulation in real and risk neutral environment, interest-rate modelling) are essential
An understanding of bond mathematic concepts such as duration, convexity, option-adjusted spread, z-spread, spread duration, key-rate duration, interest curve building, bootstrapping, etc. are required
SQL, Python required
Excellent problem-solving abilities, intellectual curiosity, and experience in understanding and solving complex issues
High level of integrity enabling the candidate to become a trusted partner to clients and peers

Nice To Haves

Undergraduate and/or advanced degrees in finance, mathematics, engineering and/or computer science preferred
Professional designations such as CFA, FRM, etc., would be viewed favorably, but not essential
experience using VS Code IDE preferable
Practical experience using GIT is a plus
Knowledge of Docker and Cloud applications (e.g. AWS / Azure) would be viewed favorably
An understanding of basic accounting, regulatory, risk management and strategic frameworks under which insurers operate, would be viewed favorably, but not required

Responsibilities

Develop and maintain automated Intex infrastructure to perform on-demand risk analytics for private securitization
Create models for private structured deals and maintain deal models using Intex Dealmaker
Compile monthly updates of collateral and deal information for Intex CDI/CDU files associated with private Ares securitization
Collaborate with other Ares quantitative, operational, and IT resources for building the analytics platform, at-scale using Intex on cloud resources
Develop and test collateral and security projected cashflows, valuations, and risk metrics, under different deterministic and stochastic scenarios for private securitization
Partner with portfolio management to align assumptions and parameters of relevant private securitization models
Build strong relationships with portfolio managers and members of other operational and quant teams across Ares and outside managers as needed to act as a key point of contact to prioritize and answer questions relating to investment data/analytics