Financial Mathematician Fund Investments

Join

Zürich

Vor Ort

CHF 120.000 - 180.000

Vollzeit

Vor 6 Tagen
Sei unter den ersten Bewerbenden
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Zusammenfassung

coni + partner supports a client in Zurich seeking a Quantitative Analyst for the Financial Mathematician Fund Investments role. The candidate will work within the asset management division of an international bank to measure and report fund performance, risk and attribution.

The position requires a Master’s in Mathematics/Physics/Economics/Quantitative Finance, plus experience in asset management or investment banking, and programming skills (VBA/Python/SQL). Office-based in Zurich.

Qualifikationen

  • Master's degree in Mathematics, Physics, Economics or Quantitative Finance is required.
  • Professional experience in asset management, investment banking or consulting.
  • Programming skills (e.g. VBA / Python / SQL) are expected.
  • Knowledge of performance measurement and attribution is advantageous.

Aufgaben

  • Responsible for calculation, validation and reporting of fund investment portfolio performance measurement, attribution and risks
  • Responsible for portfolio configuration analysis, aggregated portfolios, benchmark data sourcing and benchmark management
  • Support client reporting teams across the group with relevant performance metrics
  • Responsible for executing critical performance related projects with client reporting and project management teams
  • Responsible for problem-solving, change management, UAT support, documentation and controls
  • Work with process and IT platform enablers, front office clients, internal audit and external data vendors
  • Contribute to optimization of department, tools, systems, platforms and processes

Ausbildung

Master's degree in Mathematics, Physics, Economics or Quantitative Finance

Tools

Bloomberg
FactSet
Morningstar
Essentials
QA Direct

Jobbeschreibung

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 division of an international bank in Zurich. We are looking for a quantitative analyst (m, f, d) to serve as a

Financial Mathematician Fund Investments

Aufgaben
  • Responsible for the calculation, validation and reporting of fund investment portfolio performance measurement, attribution and risks
  • Responsible for portfolio configuration analysis, aggregated portfolios, benchmark data sourcing and benchmark management
  • Support client reporting teams across the group with relevant performance metrics
  • Responsible for executing critical performance related projects with client reporting and project management teams in Private Banking Operations & IT
  • Responsible for problem-solving, change management, user acceptance test (UAT) support, documentation and application of controls
  • Responsible for working with process and IT platform enablers, front office clients such as portfolio managers, front desks and business management teams, internal audit as well as external data vendors and service providers
  • Contribute to the optimization of the department, its tools, systems, platforms and processes.
Qualifikation
  • Master's degree in Mathematics, Physics, Economics or Quantitative Finance
  • Professional experience in asset management, investment banking or consulting
  • Experience in risk & performance analysis of investment products
  • Programming skills (e.g. VBA / Python / SQL)
  • Experience with e.g. Bloomberg, FactSet, MorningStar and Essentials, QA Direct
  • Professional experience with performance measurement and performance attribution, but also generalist interest in other tasks such as internal controls or controlling of external service providers
  • Knowledge of the life cycle of processes
  • Knowledge of process flows, process flow charts and governance in operations
  • Independent, analytical team player and practical problem solver
  • Eye for efficiency and effectiveness even under time pressure
  • Excellent organizational and communication skills
  • Self-motivated, team-minded and goal oriented
  • High affinity for IT and systems.
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