Lead Asset Allocation Analyst

vor 1 Monat

Zürich, Zürich, Schweiz Swiss Re AG Vollzeit
Location:

Zurich, Zurich, CH

Lead Asset Allocation Analyst (hybrid - m/f/x/d)

Are you looking to play an essential role in SwissRe's investment strategy and asset allocation process? Do you have strong experience in asset pricing & allocation models and have a flair for quantitative investment modeling? We are looking for your professional and personal experience, as well as high standards in terms of rigor and academic foundation to join our team and be an instrumental key leader.

About the Role

As part of the Asset Allocation Team, the focus will be on

  • Further development of Swiss Re's asset allocation process by means of utilizing advanced statistical analysis, and programming skills to improve portfolio construction, generate insights, identify market trends/opportunities, and make data-driven investment decisions across and within all liquid asset classes, derivatives and private markets investments
  • Development, maintenance, and documentation of models used for asset allocation, portfolio construction, and risk management
  • Regular internal presentations of research work and writing research notes.
  • Take a leading role in enhancing and developing the quantitative analysis skills of other team members
  • Contribute to data quality assurance, as well as performance and risk monitoring of the investment decisions
  • Prepare key materials and analysis for various committees. In particular, this requires coordinating the preparation, revision and submission to the various committees.

About the Team

Swiss Re Asset Management manages the assets generated from Swiss Re core insurance and reinsurance business. We drive sustainable performance by following a disciplined, long-term oriented investment approach and focus on a high-quality investment portfolio. As a global team of investment professionals, we ensure a strong contribution to Swiss Re's financial performance. In addition, we also support the company's thought leadership on long-term and responsible investing themes, and act as a "Centre of Excellence" for financial market expertise.

The role is an integral part of the Asset Allocation team, responsible for formulating the group investment strategy and asset allocation.

About You

You have an entrepreneurial mind set and the flexibility to adapt to a fast-changing environment. Proactive and hands-on, you are a fast learner with a well-organized, rigorous and structured approach to problem solving. You are able to maintain high quality even under time pressure.

  • Master's degree in Financial Mathematics, Financial Engineering, (Quantitative) Finance, Economics, or related fields
  • At least 8 years of experience in a comparable role
  • Highly experienced with asset pricing & allocation models and econometrics
  • Proficiency in MS Office applications and Bloomberg skills
  • Very proficient in Python and at least one other programming language (previous contributions to large IT/Python projects is a plus)
  • Excellent English skills required.

About Swiss Re

Swiss Re is one of the world's leading providers of reinsurance, insurance and other forms of insurance-based risk transfer, working to make the world more resilient. We anticipate and manage a wide variety of risks, from natural catastrophes and climate change to cybercrime. We cover both Property & Casualty and Life & Health. Combining experience with creative thinking and cutting-edge expertise, we create new opportunities and solutions for our clients. This is possible thanks to the collaboration of more than 14,000 employees across the world.

Our success depends on our ability to build an inclusive culture encouraging fresh perspectives and innovative thinking. We embrace a workplace where everyone has equal opportunities to thrive and develop professionally regardless of their age, gender, race, ethnicity, gender identity and/or expression, sexual orientation, physical or mental ability, skillset, thought or other characteristics. In our inclusive and flexible environment everyone can bring their authentic selves to work and their passion for sustainability.

Keywords:
Reference Code: 129643

Job Segment: Quantitative Analyst, Statistics, Risk Management, Data, Research, Finance

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