Quantitative Finance Risk Analyst Asset Management

coni + partner, established 1993, is a consultancy company with headquarter in Zurich and subsidiaries in Düsseldorf and Shanghai. We are specialised in custom-fit staffing in tune with the corporate culture by ensuring a perfect match of professional skills, references and personal as well as social skills of successful candidates. Our client is the asset management of an international bank in Zurich.

We are looking for a quantitative finance specialist (m, f, d) as a Quantitative Finance Risk Analyst Asset Management Your Tasks: Risk- and performance-oriented quantitative analysis and calculations for a wide range of asset classes including fund investments in the field of the bank's asset management / Foster in-depth risk analyses, estimates and recommendations based on high quality assessments / Monitoring of risk positions in the investment portfolios / Preparation of reports containing risk analytics and key performance indicators for internal and external stakeholders / Refine methodologies to constantly expand the analysis and reporting capabilities / Optimizing asset management strategies, products, processes and tools / Work closely with other team members, portfolio managers and senior management / Regular reporting to the Head of Asset Management / Participation in projects focused on the continuous development of infrastructure, tools and methods

Your profile

Master in Finance or Quantitative Finance / Professional experience in asset management at a bank or a major fund manager, or in fund auditing / Experience in risk & performance calculation across equity, fixed income, multi-asset and fund portfolios, including private equity Investments / Experience in ex-ante and ex-post risk analysis, including VaR calculations, factor exposures, concentration limits, liquidity risk, tracking error, etc. / Experience with investment restriction set up and controlling / Experience with Bloomberg, Morningstar, RiskMetrix, etc. / Programming skills: SQL, VBA and Python, etc., for the further development of various in-house tools / Strong analytical skills / Team-oriented with process oriented thinking and problem solving mentality / Ability to go into details and to communicate the results to internal stakeholders and investors.