3 beste Stellen als data analyst in kelkheim (taunus), he – aktuell auf Personalsuche

Quantitative Model Developer (f/m/d)
Deutsche Börse —Frankfurt am Main
- Hybrides Arbeiten
- Informatik
- Master
- Kostenloser Parkplatz
- Flexible Arbeitszeiten
4 Std.
Data Integration & AI Automation Engineer
CACI —Wiesbaden
- 99.300 € – 208.600 € pro Jahr
- Vollzeit
- Bachelor
- Mit Reiseanteil
6 Std.
M&A - VICE PRESIDENT HEALTH CARE (m/f/d)
Alantra —Frankfurt am Main
- Vollzeit
- Aufstiegsmöglichkeiten

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Quantitative Model Developer (f/m/d)

Deutsche Börse -
Frankfurt am Main

Jetzt bewerben

Details zur Stelle

vor 4 Stunden

Leistungen

Kostenloser Parkplatz
Flexible Arbeitszeiten
Kostenlose Verpflegung

Qualifikationen

Informatik
Master
SciPy
Physik
GitHub

Vollständige Stellenbeschreibung

Frankfurt am Main

Your career at Deutsche Börse Group

This position is limited until 31.12.2027.

Your area of work

Group Credit and Clearstream Risk Management’s overriding objective is to ensure that business activities are conducted within a prudent risk management framework that is consistent with the institution’s credit appetite and in compliance with regulatory and supervisory requirements. We are searching for a Quantitative Analyst to maintain, further develop and oversee quantitative risk models, collateral models and rating models. A successful candidate will take ownership of the development, implementation, maintenance and continuous improvement to our quantitative models and methodologies. Furthermore, as part of the group-wide Credit and Risk Team, s/he will assume responsibility for the related reporting, ad hoc reviews, investigations and special assignments as required to senior management.

Your responsibilities

Develop, maintain and continuously improve quantitative rating and risk models used for credit and risk management
Define, document and manage processes required for the maintenance of rating and risk models in their productive states; take ownership for continuous improvements to the existing methodologies and model monitoring tools; address any related findings as revealed by model monitoring or model validation
Regularly review the adequacy and robustness of applied risk models and perform model calibrations, undertake impact assessments and report on the results, where applicable
Work in close collaboration with model users and IT to accompany IT development process, including writing business requirements, taking into consideration the available (or planned) infrastructure, as well as performing business acceptance testing
Deliver insightful management information in support of senior management and committee review
Develop and maintain effective relationships with internal stakeholders and regulatory authorities
Maintain internal model inventory. Support the team’s regular tasks

Your profile

Master's degree in mathematics, computer science, physics or a related quantitative field
2-3 years of experience in the end-to-end development, implementation, and validation of credit rating models, with direct involvement in model specification, calibration, performance monitoring, and backtesting
expertise in quantitative risk modelling, especially in the context of creditworthiness assessment and rating assignment, with a strong grasp of methodologies such as logistic regression, scorecard development, and machine learning techniques applied to credit risk
Comprehensive understanding of regulatory requirements for rating models (e.g., CSDR, CRR, BCBS, MaRisk), including the preparation of model documentation and support for regulatory submissions
Strong programming skills in relevant languages (e.g., Python (incl. NumPy, SciPy, Pandas, PySpark,…), or similar) for data analysis, model development, and automation of model processes and strong knowledge in Development Tools like Azure DataBricks, GitHub etc.
Ability to analyze large datasets, identify data quality issues, and derive actionable insights to improve model accuracy and performance
Meticulous attention to detail, robust analytical and problem-solving skills, and sound professional judgement
High commitment, team spirit, excellent communication and interpersonal skills, ability to effectively operate across various functions and business areas
Excellent command of written and spoken English. German and/or French will be an asset

Why Deutsche Börse Group?

We are committed to providing a work environment where everyone feels welcome and can reach their full potential. Our standards go far beyond simply matching candidates with the right position.

Mobility

We enable you to move freely with our job tickets, job (e-)bikes and free parking opportunities.

Work environment

Collaboration, communication, or deep focus – in our modern office buildings you will find the perfect work environment. Free drinks and food and meal allowances included.

Health and wellbeing

We care for your health and wellbeing and besides various health promotion measures we offer you a group accident insurance and additional insurance offers at discounted rates.

Financial stability

We provide financial stability by offering attractive salaries, company pension schemes, participation in our Group Share Plan, as well as bonuses, subsidies and discounts.

Hybrid work

Collaborate and exchange on-site or work remotely several days a week in line with business needs and local regulations. Our hybrid working model combines the best of both worlds.

Flexible working hours

We want your job to fit your life situation and offer flexible working time models, childcare allowance, or the possibility to study alongside your job.

Internationality

Our market infrastructures are globally connected. Working with us means collaborating with like-minded colleagues across over 60 locations from more than 100 nations.

Development

We promote individual development by offering internal development programmes, mentoring, further education and training budgets.

Contact

Recruiting Team

Take your career to the next level with us and embrace new challenges!

+496921111810

Our Recruiting Team is looking forward to your call or e-mail.

Jetzt bewerben

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