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Associate – Investment Risk Quantitative Engineer

Salary

$110k - $160k

Min Experience

4 years

Location

Charlotte, NC, USA

JobType

Full-Time

About the job

Info This job is sourced from a job board

About the role

Collaborate with other Ares quantitative and IT resources for building the analytics platform, at-scale using cloud resources Develop and test collateral and security projected cashflows, valuations, and risk metrics, under different deterministic and stochastic scenarios Utilize various Python packages to develop and estimate parametric and non-parametric models for ABS collateral behavior Support integration of bespoke analytics with third party vendor product APIs that include, but are not limited to, Intex, AdCo, Trepp, and Conning ESG. Develop algorithms to process big data outputs to create informative reporting for senior leadership Implement and test insurance-based metrics and analytics generation based on business guidance Continue support and maintenance of the analytics platform, once initial build is complete Partner with portfolio management and other team members to support AIS analytic needs as required 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

About the company

Ares Management is a global investment manager that specializes in alternative investments across various asset classes, including credit, private equity, real estate, and infrastructure. The company offers investment solutions to a wide range of clients, such as institutional investors, corporations, and high-net-worth individuals, providing both primary and secondary investment opportunities. Ares Management's approach focuses on generating consistent returns by adapting to different market conditions and leveraging a collaborative investment strategy. Unlike many traditional investment firms, Ares emphasizes providing flexible capital to support businesses and create value for stakeholders and communities. The company earns revenue through management fees, performance fees, and investment income from its managed funds.

Skills

Python
Data Science
Git
Data Structures & Algorithms
SQL
Data Analysis
Bash