Senior Associate, ALM Analytics

Posted 12 Days Ago
Be an Early Applicant
Jersey City, NJ
110K-180K Annually
Senior level
Marketing Tech • Software
The Role
The Senior Associate, ALM Analytics is responsible for developing quantitative techniques for evaluating investments, assisting in model development for portfolio construction, preparing analysis for investment opportunities, and collaborating with risk management on analysis for existing portfolios and new opportunities.
Summary Generated by Built In

Fortitude Reinsurance Company Ltd. (Fortitude Re) is one of the world’s leading providers of legacy reinsurance solutions. They work with the world’s leading insurance companies to help them execute comprehensive, transformational solutions for legacy Life & Annuity and P&C lines. Fortitude Re manages a general account of approximately $111 billion across life, annuity, and property & casualty insurance products. The company takes a long-term view on growth and is proud to be backed by a consortium of sophisticated institutional investors led by The Carlyle Group and T&D Insurance Group. Incorporated under the laws of Bermuda on January 1, 2017, Fortitude Re’s roots in the insurance industry and the experience of their leadership go back many decades. Fortitude Re’s leadership team has an average industry tenure of over 20 years, and an impressive track record of successfully managing the most complex legacy liabilities. Their deep insurance experience and proprietary risk modeling capabilities allow them to structure bespoke transactions that benefit both insurance companies and their policyholders. Fortitude Re continues to strengthen its ability to pursue further growth and provide innovative solutions for the global insurance industry.   Click here for more information about Fortitude Re.

The Senior Associate, ALM Analytics plays an essential role in the pricing and due diligence of potential new business acquisitions. This role will be aligned to our Jersey City, NJ office on a hybrid basis. 

What You Will Do:

· Develop quantitative techniques for evaluating select prospective and existing investments.

· Assist in the development of models used to construct portfolios and reinvestment assumptions for evaluation of new deals and optimization of existing blocks.

· Assist with the preparation of written analysis & presentation materials to assess new & existing investment opportunities.

· Work with risk-management & ALM as part of developing analysis for existing portfolio and new opportunities.

· Develop new asset models or test and develop assumptions for vendor models for key asset classes.

· Assist with due diligence on asset portfolios & ad-hoc analysis that may be acquired in future acquisitions and develop asset strategies for any future reinsurance liabilities.


What You Will Have:

· Bachelor's degree in math, computer science, statistics, or a related quantitative field; Master’s degree preferred.

· 5+ years of experience in insurance asset management, fixed income asset management, or liability driven investing.

· Strong analytical capabilities.

· Proficiency in Python and SQL is required.

· Knowledge of Bloomberg and advanced Excel skills is required.

· Knowledge of sophisticated data science techniques (regressions, clustering, classification) is recommended.

· Very strong written, verbal and interpersonal communications skills to clearly articulate sophisticated concepts, ideas and processes.

· Presence and credibility to present effectively to key senior management.

We may consider candidates who require visa sponsorship for this role. 

The base salary range for this role is listed below and will be commensurate with candidate experience. Pay ranges for candidates may differ based on the cost of labor in that location. In addition to base salary, all employees are eligible for an annual bonus based on company and individual performance as well as a generous benefits package.  

Base Salary Range

$110,000$180,000 USD

At Fortitude Re, our strength has always come from our people. Our success is deeply rooted in our ability to embrace the unique attributes, perspectives and experiences of every individual within our company.  Fostering a culture of inclusion and belonging where everyone—regardless of background, race, religion, sexual orientation or gender identity—feels valued and respected is a foundation of our culture.

We are committed to being an equal opportunity employer and evaluate qualified applicants without regard to race, color, religion, sex, pregnancy (including childbirth, lactation and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military and veteran status, diversity of thought and any other characteristic protected by applicable law.

To all recruitment agencies:  Unless you have been requested to work on this position, or other positions with Fortitude Re, please do not forward any resumes to Fortitude Re employees.  Fortitude Re is not responsible for any fees related to unsolicited resumes.

Check us out on YouTube:  About Fortitude Re (youtube.com)

By submitting your application, you agree that Fortitude Re may collect your personal data for recruiting purposes. 

 

 

 

                


Top Skills

Python
SQL
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The Company
HQ: Milano, Lombardia
143 Employees
On-site Workplace
Year Founded: 2009

What We Do

Born as an innovative system integrator in 2009, Databiz evolves in 2018 into a holding company (Databiz Group), in order to scale fast and face the evolving market scenario.
2021 is a milestone year: Databiz Group transforms into Fortitude Group, aggregating innovative competences and methodologies to address the contemporary digital transformation challenges. This rename and rebrand represents a significant step in the company’s evolution, redefining the Group’s identity, driving change and shaping the future of the entire ICT landscape.

The Group includes:
- Bitrock
- Radicalbit
- ProActivity

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