Quantitative Investment Analyst

3 days ago

Philadelphia, Pennsylvania, United States Xponance, Inc. Full time
About Xponance

Xponance is a pioneering, woman-led, and employee-owned multi-strategy investment firm dedicated to revolutionizing access to alpha for clients and the broader investment community.

Established in 1996 by Tina Byles Williams with AUM of $18.6 billion as of 6/30/24, our firm specializes in global and non-U.S. equity investment strategies, employing a multi-manager framework that leverages the unique insights and dedication of entrepreneurial, emerging, and diverse managers within a proven strategic framework.

As a direct equity manager, we design and oversee systematic, risk-controlled, active, and passive strategies, including client-directed 'Values Based' screening and the exclusive utilization of corporate DEI scores from our partner, As You Sow.

Our active U.S. fixed income core strategies cover the maturity spectrum, providing an income advantage and safeguarding against downturns through the ownership of distinctive, off-benchmark securities.

Furthermore, our Alternative subsidiary, Xponance Alts Solutions, focuses on GP Staking and Seeding initiatives for diverse and woman-led alternative managers.

Lastly, Aapryl, LLC, our fintech subsidiary, delivers a web-based analytical platform designed to assist asset owners and advisors in portfolio, asset manager, and risk due diligence, empowering them in fulfilling their fiduciary duties.

At Xponance, we are committed to driving innovation and delivering value to our clients and the broader investment landscape.

Opportunity

Xponance is seeking qualified candidates for the role of Quantitative Analyst.

Working within the Active Global Equities division, they will play a critical role in developing and maintaining models that enhance investment decision-making across our multi-manager equity portfolios.

Experience is not required.

The role requires close collaboration with portfolio managers, analysts, and researchers, and will include tasks ranging from due diligence of quantitative investment strategies to assisting in the production of thought leadership materials such as white papers.

We encourage innovative thinking and provide team members with the ability to pursue new ideas and approaches.

Essential Duties and Responsibilities
  • Develop and maintain quantitative models to support the selection and evaluation of managers.
  • Originate, test, and implement quantitative models for systematically analyzing economic, market, and inter-market trends and risk scenarios for use in arriving at investment recommendations.
  • Automation of investment models for use in tactical decision making. Significant coding / programming required in R / Python, as well as the ability to quality check others code.
  • Assist in the research and writing of original white papers, market outlooks, and studies for broad publication across the global investment community.
  • Perform due diligence on approved and prospective equity managers for multi-manager portfolios.
  • In addition to philosophy, people, and process, due diligence responsibilities also include detailed business and financial viability analysis as well as operational and compliance due diligence.
  • Support the CIO and senior PM in building multi-manager portfolios.
  • Travel to industry conferences and due diligence meetings required
Qualifications
  • Bachelors Degree in a quantitative field
  • CFA charter or willingness to work towards CFA charter preferred
  • Knowledge of financial markets, investment research, equity investment strategies
  • Advanced knowledge of quantitative tools and methodologies
Abilities
  • Demonstrated oral and written communication skills.
  • Strong analytical and quantitative skills.
  • Willingness to work within a dynamic team environment and meet deadlines independently.
  • Demonstrated ability to analyze complex data sets and distill actionable insights.
  • Strong research and investigative skills, with an ability to critically assess investment strategies.
  • Strong programming skills in Python, R, or another statistical programming language. Proficiency in SQL and Excel/VBA is a plus.
Language Skills

The candidate must possess the ability to communicate effectively with groups of clients, outside vendors, or employees of the organization.

Mathematical Skills

Ability to calculate figures and amounts such as discounts, interest, commissions, proportions, and percentages and apply concepts of basic algebra.

Must possess conceptual understanding of the reconciliation process.

Reasoning Ability

Ability to deal with problems involving several concrete variables in standardized situations as well as in situations where only limited standardization exists.

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