Student Veterans of America Jobs

Welcome to SVA’s jobs portal, your one-stop shop for finding the most up to date source of employment opportunities. We have partnered with the National Labor Exchange to provide you this information. You may be looking for part-time employment to supplement your income while you are in school. You might be looking for an internship to add experience to your resume. And you may be completing your training ready to start a new career. This site has all of those types of jobs.

Here are a few things you should know:
  • This site is mobile friendly. You do not need a log-in or password to access information.
  • Jobs on this site are original and unduplicated and come from three sources: the Federal government, state workforce agency job banks, and corporate career websites. All jobs are vetted to ensure there are no scams, training schemes, or phishing.
  • The site is refreshed daily to remove out-of-date content.
  • The newest jobs are listed first, so use the search features to match your interests. You can look for jobs in a specific geographical location, by title or keyword, or you can use the military crosswalk. You may want to do something different from your military career, but you undoubtedly have skills from that occupation that match to a civilian job.
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Job Information

Credit Suisse Senior Data Scientist #127285 in Switzerland, Switzerland

  • The opportunity to become part of our highly motivated Analytics team at Credit Suisse Zurich focusing on building and driving new and state of the art technologies in various fields

  • An exciting role for you as Senior Data Scientist within our Analytics & Data Science Lab and close collaboration with its Chief Operating Officer, Financial Crimes Compliance, IT and Operations teams as well as coordination with related organizations within our Bank

  • Responsibility for developing, maintaining and extracting knowledge from strategic internal and external data sets

  • Studying fundamental and high impact business questions that directly affect the direction of the company and the industry at large

  • Developing and designing algorithms, building prototype versions, running multiple validations with business experts and working on their operationalization

  • Becoming part of an open-minded team with a strong team spirit in a versatile and flexible working environment

  • Flexible / agile working options are possible

  • A PhD or Master’s degree in a quantitative field (e.g. Statistics, Mathematics, Physics, Economics), Computer Science or an equivalent education

  • At least 3-5 years of experience in applying statistical modelling, machine learning and / or exploratory analysis to large datasets: classification, scorecard models, segmentation, clustering, Bayesian statistics, anomaly detection, NLP

  • Experience in the regulatory risk technologies domain within the financial industry is considered a plus

  • Proficiency in at least one of the following: Python, R, SQL

  • Experience using big data platforms including the development of big data pipelines, relational database programming and distributed data processing at scale e.g. Spark or Hive

  • Familiarity with assembling and analyzing data sets from disparate sources applying quantitative methodologies, computational frameworks and systems

  • Experience in Financial Crime Compliance or Transaction Monitoring is a plus.

  • Basic understanding of Transaction Monitoring, AML risk types, Typologies, red flags to be able to speak in the language of the user community

  • Business fluency in English is required, German is a strong asset

  • Excellent communication and stakeholder management capabilities, the ability to effectively collaborate and build professional relationships across all organizational levels

  • Integrity, responsibility and confidentiality required for dealing with sensitive data

  • Demonstrable experience as a strong, self-starting, standout colleague and independent thinker, willing to co-operate in a highly collaborative environment and contribute to the team's success

  • Willingness to assume additional responsibilities and to become a respected knowledge carrier within the team

  • Relevant professional designations (e.g., CFA, FRM, FSA, CIMA or PMP) are considered an advantage


Ms. Moos would be happy to receive your application.

Please apply via our Career Portal.

Job: *Legal & Compliance

Title: Senior Data Scientist #127285

Location: Switzerland-Switzerland - Region Zurich-Zürich

Requisition ID: 127285