19 beste Stellen als machine learning python in kanton zürich – aktuell auf Personalsuche

Quant Engineer - Capital Market Technologies
Swiss Quant —Zürich, ZH
- 100%
- Hybrides Arbeiten
- Doktorat
- Englisch
- Java
Direkt bewerben
Senior (Gen)AI Engineer (all genders)
AXA Insurance AG —Winterthur, ZH
- 100%
- Homeoffice
- Englisch
- Master
- SQL
1 Tag
Senior (Gen)AI Engineer (all genders) 80–100%
ictjobs.ch —Winterthur, ZH
- 100%
- Homeoffice
- Englisch
- Master
- SQL
- Pendlerbeitrag
- Eltern-/Erziehungsurlaub
23 Std.
DevOps Engineer /Deployment Manager
b-rayZ AG —Zürich, ZH
- Teilzeit
- Management-Erfahrung
- Englisch
- AWS
Data Architect mit einem Flair für AI
ti&m AG —Zürich, ZH
- Englisch
- Java
- Master
Mid / Senior SLAM Engineer
Gravis Robotics —Zürich, ZH
- 100%
- Doktorat
- Englisch
- Master
Senior Software Engineer - Distributed Systems
Decentriq —Zürich, ZH
- Teilzeit
- Hybrides Arbeiten
- Doktorat
- Master
- Bachelor
Direkt bewerben
Manager / Senior Consultant - Financial Risk Management mit Fokus Kreditrisiko-Modellierung
EY —Zürich, ZH
- Doktorat
- Englisch
- Master
- Weiterbildungsprogramme
Wissenschaftliche/-r Mitarbeiter/-in für Fernerkundung und Machine Learning zur Modellierung trockenheitsbedingter Waldschäden
Eidgenössische Forschungsanstalt für Wald, Schnee und Landschaft WSL —Birmensdorf, ZH
- Teilzeit
- Doktorat
- Englisch
- Python
1 Tag
Master Thesis Student. Procurement Analytics & Material Intelligence
Sika —Zürich, ZH
- Master
- Analysefähigkeit
- Python
Direkt bewerben
2 Std.
Master Thesis Student. Procurement Analytics & Material Intelligence
Sika —Zürich, ZH
- Master
- Analysefähigkeit
- Python
1 Std.
Senior Machine Learning Engineer in Human-Centric Computer Vision
Apple —Zürich, ZH
- Doktorat
- Datenanalyse
- Englisch
23 Std.
Senior Machine Learning Engineer in Human-Centric Computer Vision
Apple —Zürich, ZH
- Doktorat
- Datenanalyse
- Englisch
23 Std.
Generalist Engineering Intern - Drones & Applied AI
Wingtra AG —Zürich, ZH
- Englisch
- C++
- Erfahrung in der IT
1 Tag
Research Scientist, Frontier AI, DeepMind
DeepMind —Zürich, ZH
- 100%
- Doktorat
- Forschungserfahrung
- Erfahrung mit Netzwerken
18 Std.
Engineer III, AI/ML, Online Calibration, XR
Google —Zürich, ZH
- 100%
- Doktorat
- Master
- C++
1 Tag
PhD Position in AI-Supported Resilience Assessment of Climate-Neutral Transport Infrastructure
ETH Zürich —Zürich, ZH
- 100%
- Doktorat
- Englisch
- Forschungserfahrung
20 Std.
Data Engineering Consultant (w/m/x)
Avanade —Zürich, ZH
- Homeoffice
- Englisch
- SQL
- Python
18 Std.
Tech Lead Manager, Freshness and Factuality, GeminiApp, DeepMind
DeepMind —Zürich, ZH
- 100%
- Informatik
- Doktorat
- Master
1 Tag

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Quant Engineer - Capital Market Technologies

Swiss Quant
Zürich, ZH

Direkt bewerben

Details zur Stelle

100% | Pensum: 90-100%

Qualifikationen

MATLAB
Doktorat
R
Englisch
Java
Calypso
Kommunikationsfähigkeit
Python
Deutsch

Vollständige Stellenbeschreibung

Senior Quant Engineer – Capital Market Technologies

swissQuant Group provides quantitative services, consultancy, and products for financial and industrial clients, including a number of global Fortune 500 companies. Our business edge originates from the effective translation of Intelligent Technology into measurable, bottom-line client value. swissQuant Group is a privately held company incorporated in 2005 as a spin-off of ETH Zürich.

Your role

As a Senior Quant Engineer, you will have responsibility for researching, developing, validating and maintaining quantitative risk models and associated IT infrastructure, with a particular focus on risk models for Central Counterparties (CCPs). Topics will vary greatly depending on live projects but will mainly revolve around margin methodologies (e.g. SPAN, VaR/ES-based initial margin), default fund sizing, stress testing, backtesting and model validation frameworks, drawing on techniques from quantitative finance and statistical learning (machine learning).

You will

Design, build and deliver robust and production quality models and code within a unified library

Lead the systematic review, independent validation and on-going assessment of existing models in line with EMIR, CPMI-IOSCO PFMI and equivalent regulatory standards

Liaise with senior stakeholders to ensure that the model meets their requirements and ensure that they agree with the modelling assumptions and understand the associated risks

Deliver high quality documentation, validation reports and presentations to support and maintain model and library use

You will work on the development of cutting-edge methodologies and technologies for major international clients

Your tasks will include designing, prototyping, and testing quantitative risk models applied to capital markets in a real-world context. It may also include presenting your work and ideas to people with a diverse spectrum of experience and domain knowledge. You will also engage and participate in all phases of transformation of a quantitative idea into a final product or service, from the Proof-of-Concept to client deliverables. Work is done both in a client project context as well as internal innovation / research tasks. This requires a high level of hard and soft skills which you will contribute as a team member. Your personal success will depend equally on your ability to conceptualize and develop state-of- the-art models as well as your ability to function well within a team. Given the seniority of the role, you will also mentor junior team members and help shape the team's technical direction.

Stakeholder Management / Leadership

Drive and challenge discussion of modelling options with senior stakeholders

Lead the gathering and documentation of model requirements

Communication of model development progress, including attendance at regular working groups and escalation of risk and issues to senior stakeholders

Communication and explanation of model results to stakeholders

Decision-making and Problem Solving

Ability to convert business and regulatory objectives into technical modelling solutions

Data analysis for trends and signal extraction

Ensure that all activities and duties are carried out in full compliance with regulatory requirements, enterprise wide risk mitigation guidance and internal swissQuant policies and standards

You bring

Post graduate degree in a highly quantitative discipline

5+ years of relevant industry experience in quantitative risk modelling within capital markets

Excellent communication skills. Fluency in English, German is a plus

Able to deliver to tight deadlines on quantitative projects

Able to work in a highly dynamic environment

Python (preferred), R or MATLAB advanced proficiency (Java is a plus)

Good understanding of statistical and econometric modelling techniques – e.g. time series analysis, regression models and various estimation techniques, machine learning

Preferred

PhD in a highly quantitative discipline

Hands-on experience with CCP risk models, initial margin methodologies (SPAN, FHS), default fund and stress testing frameworks

Familiarity with EMIR, CPMI-IOSCO PFMI, and CCP regulatory reporting

Experience in designing, developing and independently validating statistical, econometric and machine learning models.

Experience in analyzing large volumes of data including cleaning and subsequent pattern identification and clustering

Knowledge of financial markets and products

Experience with trading or clearing software (Murex, Front Arena, FIS, Calypso)

Experience with Digital Assets (Tokens, Blockchain, Web3)

swissQuant Group is a fast paced and dynamic company. We offer room for growth and a high level of personal responsibility in a challenging environment. As a successful candidate, you will join a project team and take an active part targeting clients and aligning our product offering with real client needs and future industry trends.

Interested? Please upload your cover letter, CV and reference letters in PDF format (please compress in 1 attachment).

Only direct applications are considered

swissQuant is an equal opportunity employer and we are committed to providing a workplace free from discrimination.

Decisions related to hiring are made fairly, and we provide equal employment opportunities to all qualified candidates and employees. All applicants will be considered for employment without attention to race, colour, religion, sex, sexual orientation, gender identity, national origin, or disability status.

Direkt bewerben

Erweiterte Suche

machine learning python Jobs in kanton zürich

Quant Engineer - Capital Market Technologies

Senior (Gen)AI Engineer (all genders)

Senior (Gen)AI Engineer (all genders) 80–100%

DevOps Engineer /Deployment Manager

Data Architect mit einem Flair für AI

Mid / Senior SLAM Engineer

Senior Software Engineer - Distributed Systems

Manager / Senior Consultant - Financial Risk Management mit Fokus Kreditrisiko-Modellierung

Wissenschaftliche/-r Mitarbeiter/-in für Fernerkundung und Machine Learning zur Modellierung trockenheitsbedingter Waldschäden

Master Thesis Student. Procurement Analytics & Material Intelligence

Master Thesis Student. Procurement Analytics & Material Intelligence

Senior Machine Learning Engineer in Human-Centric Computer Vision

Senior Machine Learning Engineer in Human-Centric Computer Vision

Generalist Engineering Intern - Drones & Applied AI

Research Scientist, Frontier AI, DeepMind

Engineer III, AI/ML, Online Calibration, XR

PhD Position in AI-Supported Resilience Assessment of Climate-Neutral Transport Infrastructure

Data Engineering Consultant (w/m/x)

Tech Lead Manager, Freshness and Factuality, GeminiApp, DeepMind

Other jobs to consider

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