Financial Mathematician Risk & Reporting

coni-partner; Zürich; Vor Ort; CHF 120.000 - 180.000; Vollzeit

Zusammenfassung

coni-partner is seeking a quantitative analyst (m/f/d) to join the asset management division in Zurich. The role focuses on performance measurement, attribution and risk reporting for fund portfolios, plus portfolio configuration analysis and benchmark management.

You will support client reporting teams, collaborate with front office and IT, and contribute to process improvements, controls and governance across the group.

Qualifikationen

• 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 and SQL proficiency.
• Experience with Bloomberg, FactSet, MorningStar and Essentials.
• Experience with performance measurement and attribution; interest in internal controls.
• Knowledge of process life cycle, governance in operations.
• Independent, analytical, team‑oriented problem solver.
• High affinity for IT and systems.

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 with relevant performance metrics.
• Execute critical performance projects with client reporting and project management teams in Private Banking Operations & IT.
• Engage in problem solving, change management, UAT support, documentation and controls.
• Collaborate with process and IT platform enablers, front office, internal audit, data vendors and service providers.
• Contribute to optimization of the department, tools, systems, platforms and processes.

Kenntnisse

VBA

Python

SQL

Bloomberg

FactSet

Morningstar

QA Direct

Essentials

Ausbildung

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

Tools

Bloomberg

FactSet

Morningstar

QA Direct

Essentials

Jobbeschreibung

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 Risk & Reporting

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.