3 beste Stellen als python sql in zürich zh – aktuell auf Personalsuche

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Private Credit & CLO Risk Manager

LGT Capital Partners -
Pfäffikon, ZH

Jetzt bewerben

Details zur Stelle

100% | Pensum: 90-100%

Qualifikationen

Power BI
Microsoft Excel
Management-Erfahrung
Englisch
Tableau
SQL
Analysefähigkeit
Bachelor
Risikomanagement
Kommunikationsfähigkeit
Python
Deutsch

Vollständige Stellenbeschreibung

Job Description

To support the continued expansion of our Private Credit and Collateralized Loan Obligation (CLO) management business, we are seeking an experienced professional to join the Private Market Risk Management team. As an integral member of the Second Line of Defense within a leading global asset manager, you will play a crucial role in driving the ongoing success of the business.

Collaborating closely with investment teams, portfolio managers, business/client managers, and investors, you will contribute to the continuous enhancement of the Risk Function. Acting as a key agent of change, you will shape corporate policies and procedures to strengthen risk management practices. Effectively balancing risk awareness with business objectives is key to driving success. The team’s deep expertise and broad exposure across asset classes will provide meaningful opportunities for professional growth.

Monitor and manage risks within the Private Credit and CLO business, covering all Private Credit portfolios including Semi-Liquid Private Market Evergreen Funds, special accounts as well as the product/CLO-side and CLO buy-side portfolios;
A key task is to monitor portfolios, their construction, and their sensitivity to current or potential future market developments
Conduct comprehensive reviews of credit, market, liquidity, FX, structural, leverage, and operational risks at the product and portfolio level. Integrate findings into investment and business decision-making processes. Perform scenario analysis and stress testing when necessary;
Assess individual investments selectively or on a sample basis, as needed;
Design and implement risk management strategies, governance frameworks, and compliance policies, ensuring adherence to internal and external regulatory requirements, including exposure as well as other limits and requirements;
Collaborate with investment, operational, and client-facing teams to apply independent controls, challenge assumptions, mitigate risks, and optimize processes, while ensuring risk perspectives align with corporate objectives;
Oversee Investment Committee (IC) administration and Investment Appetite/Allocation processes. Contribute to risk-related projects and support conflict of interest management;
Develop and leverage risk data, reports, models, and systems to enhance risk analytics and monitoring tools. Support automation and scaling initiatives within risk management and IT projects.
Contribute to seamless integration of the risk management across asset classes, business lines and locations;
This role involves regular business travel to London to support collaboration across the teams.

Requirements

A University degree or an equivalent education in Business, Finance, Economics, or a quantitative discipline;
At least 5 years of working experience in private credit and CLO risk management, or equivalent expertise in credit management with proficiency in credit analysis and financial reporting, rating, risk modeling, quantitative analysis, and a strong understanding of credit and CLO mechanisms, transactions, documentation, and risk profiles;
Experience in trading or handling private credit instruments (e.g., broadly syndicated loans), including exposure to credit documentation (legal/transactional), covenant structures, and rating frameworks, would be considered a strong plus;
Familiarity with business-relevant data, software, and market intelligence (WSO, LevPro, SimCorp, I-Level, Investran, etc.) is advantageous;
Advanced proficiency in Excel, ideally complemented by familiarity with data-related tools such as Snowflake, SQL, and Python or a demonstrated willingness to learn. Experience with data visualization platforms like Power BI or Tableau is considered an asset;
Strong analytical skills, combining both quantitative and qualitative approaches with excellent attention to detail;
Exceptional communication skills, both written and verbal, with the ability to engage, persuade, and influence stakeholders - even in complex or sensitive discussions;
Highly organized, proactive, and a skilled networker with a talent for fostering strategic relationships.

What you can expect

We provide modern working conditions , including work-from-home options, flexible hours and a home office allowance to ensure staff members have a work environment equipped with the latest technology;
A diverse culture founded on mutual respect, teamwork and appreciation awaits you at LGT Capital Partners. We go the extra mile to generate impact;
We empower and invest in you : your professional development and personal growth are our priority. We offer various internal and external training opportunities that are aligned with your ambitions and our business needs. If you are interested, you can also enhance your German or English language skills;
We are proud to be owned by the Princely Family of Liechtenstein and our company is inspired by its entrepreneurial spirit;
Commitment to ESG : our approach to business is influenced by the Princely Family’s long-term perspective. Sustainability is key for us and has shaped our actions since 2002;
You benefit from favorable terms and conditions if you wish to participate in LGT Capital Partners’ investment programs or to use LGT banking products and services.

Contact Information

If you are interested in becoming an integral part of a successful alternative investment management team in an international, multicultural working environment we will be pleased to get to know you soon.
For further information please contact us.

Mélanie Moos

Human Resources

LGT Capital Partners AG, Pfaeffikon

Contact:

+41 58 261 80 42

Jetzt bewerben

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Ich möchte aktuelle Job-E-Mails für Stellen als python sql in zürich zh erhalten

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