KKR is seeking a talented Associate to join its Global Wealth Investment Strategy team, with a focus on asset allocation strategy. In this role, the Associate will be responsible for creating asset allocation models and formulating comprehensive, fundamental insights on cross-asset allocation tailored to individual investors.
RESPONSIBILITIES
The Associate’s primary responsibilities are as follows:
- Building multivariate models to forecast asset returns and valuation trends.
- Developing research on macro and industry trends, with a special focus on public and private credit.
- Conducting quantitative and fundamental research across a wide array of asset classes which may include equities, bonds, currencies, commodities, alternatives, and derivatives.
- Synthesizing findings into research summaries, reports, and presentations.
- Presenting findings to external and internal stakeholders.
- Travel up to 25% of the time, fostering relationships with investors.
QUALIFICATIONS
- 1-4 years’ experience at an asset management firm, investment bank, or other similar institution.
- Preference for academic background in finance, economics, mathematics, or statistics.
- Experience with statistical programming languages, with preference for R or Python.
- Strong understanding of portfolio optimization techniques and other quantitative financial concepts.
- Outstanding quantitative and analytical skills including building multivariate models and producing forecasts.
- Exceptional presentation and communication skills, both oral and written, to synthesize findings into presentations, summaries, and reports to generate optimal portfolios.
- Excellent relationship management and interpersonal skills to collaborate with cross divisional teams and senior management.
- Proven experience conducting thematic and quantitative and fundamental research on equities, bonds, currencies, commodities, alternatives, and derivatives.
- Excellent project management skills with the ability to handle multiple projects with competing deadlines while maintaining keen attention to detail.
- Team player mentality with a positive attitude and the desire to learn.
- Credit background preferred.
- CFA or CAIA, or progress towards CFA or CAIA, preferred.