Investment Analyst, Weiss Asset Management LP, Boston, MA (in-person)
Responsible for analyzing investment opportunities with a focus on mergers and acquisitions including researching new investment strategies and interpreting and analyzing complex financial data. Specific duties include the following:
- Performing economic and financial analysis of companies involved in M&A activities utilizing complex statistical and mathematical techniques and modeling, including analyzing complex financial documents and analyst reports, and assessing the probability and timing of potential mergers.
- Researching and developing analytical tools to assess potential M&A opportunities through the use of financial statistical software to build models predicting the likelihood, timing and probability of mergers and acquisitions.
- Employing advanced statistical, financial and numerical techniques to develop tools for evaluating M&A scenarios.
- Developing and maintaining relationships with counterparties to identify new M&A investment opportunities.
- Utilizing advanced statistical analytics to support the trading of securities to implement firm-wide M&A strategies, as well as financial strategy development.
- Utilizing advanced simulation modeling techniques to develop investment theses related to M&A activities.
- Applying econometric time series statistical techniques to forecast economic trends impacting M&A activities.
- Developing and validating detailed financial models, including running downside scenarios and reviewing financial projections.
- Clearly identifying and communicating the investment advantages and risk scenarios for each investment.
- Perform rigorous analysis on financial covenants and corporate structures incorporating analysis of credit indentures and ratings agency reports.
Requirements:
Position requires a bachelor’s degree (or an equivalent foreign degree) in Finance, Mathematics, Statistics or a closely related field and experience (which can include experience gained through academic course work, academic research projects and internships) with the following:
- Financial modeling techniques including discounted cash flow analysis, macroeconomic forecasting, and corporate finance valuation methods;
- Probability theory, statistical inference, linear regression, and stochastic processes applied to statistical models of investment;
- M&A probability and timing tools using statistical software including Python and R, as well as econometric techniques for forecasting; and
- Derivatives pricing and hedging strategies applied to equity and equity-linked securities in connection with investment strategies using Monte Carlo simulation and Black-Scholes option pricing models.
Position requires 5-10% domestic and international travel by air.
This is a full-time position requiring 5 days per week at the company's office in Boston, MA.
Salary is $135,000 to $200,000 per year for a 40-hour work week.
Skills Required
- Bachelor's degree in Finance, Mathematics, Statistics or closely related field (or equivalent foreign degree)
- Experience with financial modeling techniques including discounted cash flow, macroeconomic forecasting, and corporate finance valuation methods
- Knowledge of probability theory, statistical inference, linear regression, and stochastic processes applied to investment models
- Experience using statistical software and tools for M&A probability and timing (including Python and R) and econometric forecasting techniques
- Experience with derivatives pricing and hedging strategies, including Monte Carlo simulation and Black-Scholes option pricing models
What We Do
For 30 years, Weiss Asset Management has developed proprietary value-based investment strategies designed to deliver high risk-adjusted returns to our investors, who include charitable foundations, pension plans, endowments, hospitals, government entities and private investors. We manage approximately $2.7 billion across hedge funds and institutional accounts. We work collaboratively to solve problems, and to identify undervalued assets through deep fundamental research, statistical analysis and an analytically rigorous approach to decision making. Above all else, we value integrity, uncompromising rationality, creativity and entrepreneurship, and continuous learning and improvement. Our team of over 80 individuals is the engine of our success and we welcome truly exceptional candidates from all backgrounds.
