Analyst, Risk, Analytics and Reporting, AIS

Overview

Ares is seeking a full-time Analyst to join our dynamic and growing Insurance Solutions team. The Analyst will provide day-to-day operations and analytics support across a wide range of aspects of our business and work closely with senior members of Ares Insurance Solutions (AIS) on a variety of activities. AIS is an in-house team that provides asset management, capital solutions and corporate development services to Ares Management’s strategic initiatives in insurance, including Ares’ established life and annuity platform, Aspida Financial.

The new Analyst will work collaboratively with AIS leadership, investment teams inside and outside Ares, corporate strategy, and other stakeholders to support the growth of the insurance business.

Over the last 20 years, Ares’ success has been driven by our people and our culture. Today, our team is guided by our core values – Collaborative, Responsible, Entrepreneurial, Self-Aware, Trustworthy – and our purpose to be a catalyst for shared prosperity and a better future. Through our recruitment, career development and employee-focused programming, we are committed to fostering a welcoming and inclusive work environment where high-performance talent of diverse backgrounds, experiences, and perspectives can build careers within this exciting and growing industry.

Maintain, gather and produce necessary upstream assumptions to the established Ares in-house Excel and Python models, including strategic asset allocations, market assumption updates, asset position validation, cash flow projections, and transaction data reconciliations across different asset classes, legal entities, and regulatory jurisdictions. Support the ongoing operations of asset-liability management frameworks, financial planning and analysis, investment performance monitoring, and associated analytics for monthly or quarterly reporting, generate summary reports for senior management, and produce other ad-hoc presentational views as needed.

Standardize data received from Aspida pricing, valuation, accounting, and finance teams into organized format, utilize databases where appropriate. Proactively raise reasonability concerns using sound business judgment. Contribute to the development, testing and validation of model enhancements, incorporate updates driven by regulatory changes, evolving market dynamics, and addition of nouveau asset strategies and business partnerships; document work and related processes for review by other team members.

Build subject matter expertise in insurance regulatory (including but not limited to US NAIC and Bermuda BMA), accounting (GAAP and IFRS) and liability expertise to support all internal portfolio management and product strategy teams, as well as all distribution channels across the platform. Develop thorough knowledge of Ares’s investment capabilities, products and services, and integrate this knowledge into risk and analytical solutions for Aspida and its affiliated insurers.

Cultivate strong business relationships with other AIS team members and business partners from other Ares groups, as well as actuaries, accountants, risk, and compliance personnel from Aspida and its affiliated insurers.

• Undergraduate and/or advanced degrees in accounting, actuarial science, finance, mathematics, engineering and/or computer science preferred
• Professional designations such as CFA, FRM, FSA, etc., would be viewed favorably, but not essential
• Working experience of advanced Excel / PowerPoint / VBA required, experience in automation within Excel and PowerPoint is highly desirable
• Practical experience of model validation, analytics and automation in Python, working knowledge of common packages like pandas and numpy is a strong plus
• Strong organizational skills, with sound practices in data management and version control; familiarity with tools like Git and SQL is preferred
• Understanding of bond mathematic concepts such as duration, convexity, option-adjusted spread, z-spread, spread duration, key-rate duration, interest curve, cashflow pattern, etc are essential
• Experience working with investment accounting data/databases is a plus, but…