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Senior Associate Quantitative Analyse (all genders)

TieTalent

Frankfurt

Vor Ort

EUR 60.000 - 80.000

Vollzeit

Vor 5 Tagen
Sei unter den ersten Bewerbenden

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Zusammenfassung

A leading consulting company is seeking a Senior Associate in Quantitative Analysis to focus on risk management for banks. You will advise clients on implementing regulatory requirements and contribute to the growth of the consulting division. The role offers opportunities for continuous professional development and collaboration across teams.

Leistungen

Development programs and training options
Financial support for professional exams
Flexible working arrangements
Access to counseling services
Options for international assignments

Qualifikationen

  • Successfully completed degree in mathematics, statistics, or natural sciences.
  • Experience in practical implementations (e.g., Monte Carlo).
  • Fluent in German and English.

Aufgaben

  • Advise clients on regulatory compliance (Basel II/III, EMIR).
  • Support global audit teams with risk management issues.
  • Contribute to the expansion of consulting division.

Kenntnisse

Analytical skills
Strong technical understanding
Willingness to learn

Ausbildung

Degree with a quantitative focus

Tools

Statistical software
Programming languages

Jobbeschreibung

About

Senior Associate Quantitative Analyse (all genders)


Type of employment: Full-time


Start date: Immediately


Location: Frankfurt am Main


What to Expect

Together with our multidisciplinary teams, you will be responsible for international (sub-)projects focusing on risk management and quantitative methods for banks.


Your main task will be advising our clients on the implementation of regulatory requirements (Basel II/III, Basel IV, CRR, CRR II, CRD IV, CRD V, EMIR, FRTB, MaRisk, ICAAP, ILAAP). Additionally, you will support our global audit teams with complex risk management issues.


You will play a key role in developing our business and contribute to the expansion of our rapidly growing consulting division.


An agile working style, close collaboration with related departments, and continuous professional development characterize your work. Knowledge transfer related to modern risk and project management methods will also be part of your responsibilities.


What You Bring

  • A successfully completed degree with a quantitative focus (e.g., mathematics, statistics, or natural sciences)
  • Experience with practical implementations (e.g., Monte Carlo, partial differential equations, tree algorithms) and the use of valuation libraries
  • Analytical skills, strong technical understanding, and willingness to learn relevant statistical software or programming languages (e.g., R, SAS, Python, C++, Java, or MATLAB)
  • Ideally, initial experience in developing and implementing compliance and risk concepts
  • Fluent German and English skills
Why Choose Forvis Mazars

  • Foster your growth with numerous development programs and training options on our global learning platform, including personalized learning paths, foundational training, offsites, and access to LinkedIn Learning for your personal and professional development.
  • We invest in you with financial support for professional exams and other relevant qualifications.
  • Expand your horizons with international assignments or involvement in cross-disciplinary projects in areas like innovation and sustainability.
  • Stay active with options like commuting by BusinessBike or participating in after-work fitness sessions with Urban Sports Club.
  • Your wellbeing matters to us — with coaching, team workshops, and access to free, anonymous counseling services for work or private challenges.
  • Manage your time flexibly with options like remote work, 30 days of vacation, and subsidized value accounts for flexible working arrangements (e.g., sabbaticals).
Contact

Selina Geis
Talent Acquisition Manager - Audit & Assurance
selina.geis(at)forvismazars.com

Nice-to-Have Skills
  • R
  • SAS
  • Python
  • C++
  • Java
  • Matlab
Location

Frankfurt am Main, Hesse, Germany

Work Experience
  • Data Analyst
  • Business Analyst
Languages
  • German
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