the design of ESG constraints for client-driven investment solutions, help build predictive models and design interactive data applications. We're Looking for Teammates With: Bachelor's degree in Quantitative Finance, Computer Science, Mathematics, Statistics, or a related STEM field, with 2+ years of experience on the buy-side or sell-side. Strong communication skills with the ability to … Jira, and Confluence. A demonstrated interest in sustainability, systematic investing and a willingness to undertake self-study towards the CFA Sustainable Investing Certificate. Why Work Here: Acadian is a quantitative investment firm where ideas are empowered by technology. Our team is made up of a diverse mix of professionals who thrive in a culture that fosters ingenuity through collaboration More ❯
a career move that will put you at the heart of a global financial institution? Then bring your skills in analysis, problem solving and communication to Citi's Markets Quantitative Analysis team. By joining Citi, you will become part of a global organisation whose mission is to serve as a trusted partner to our clients by responsibly providing financial … services that enable growth and economic progress. Role Overview Markets Quantitative Analysis (MQA) builds innovative solutions to the most complex financial problems facing our trading businesses, control functions and international client base. Central XVA (X-Value Adjustment) is a small team working on important XVA functionality that cuts across asset classes. What you will do Create and support analytics … that all team members understand the need to do the same, demonstrating proper consideration for the firm's reputation. What we will need from you Experience in a comparable quantitative modelling role in the financial sector. XVA-related experience is especially valuable. Knowledge of financial products and related quantitative methods, especially Monte Carlo simulation. Clear and concise written More ❯
is an exciting opportunity to join the Economic Capital branch of EERA to support economic capital decision-making and business-wide risk analysis. This role is responsible for performing quantitative analysis and research, specifically dynamic multi-factor risk modeling and scenario analysis. The role will assist with the continued development of our Economic Capital framework, which is based on … multivariate conditional time series analysis. The team has a wide range of skill sets, including econometricians, economists, quantitative analysts, coders and financial analysis Key responsibilities Research, develop and implement time-series models across underwriting, investments, and other risk types Assist in managing and improving the Enterprise risk modelling framework and scenario analysis Support the Measurement Science Center of Excellence … we may consid er sponsorship. A PhD (or final year PhD student) in Econometrics or other economics related field of study, OR a Masters Degree & 3+ years' experience in quantitative research or applied economics Prior experience in time series modeling Familiarity of Bayesian econometrics Programming experience in Matlab, R or Python Desirable Skills Experience of risk modeling is a More ❯
