Data Scientist

Short Description

Credit Suisse is looking for a Data Scientist who has exposure to a wide group of business stakeholders including senior management.

Job Description

We Offer
The candidate will work with representatives from line business roles to identify use cases. Then working with them, internal IT and external vendors, develop prototype solutions. Having developed the porotype solutions, the candidate will present them to CFO executives for determining appropriateness for deployment to production.

There is also a drive to promote idea generation and increase the data science skillset of employees outside of IT. The candidate will help to develop and coordinate this effort. The candidate should be rigorous, have strong fundamentals in mathematics, self-discipline, be ethical and have technology domain expertise in one or more of the following: Machine Learning, Robotic Process Automation, Natural Language Processing, Natural Language Generation, Big Data, Blockchain, Distributed Ledgers, and Cryptography. The ability to develop applications in at least one programming language is also essential. Strong presentation skills and confidence speaking in front of an audience are key since there will be the requirement to communicate complex ideas in a clear and concise manner to groups at various levels of seniority in the firm.

  • Exposure to a wide group of business stakeholders including senior management
  • Develop an understanding of financial products, business processes and systems, IT architecture, data governance, and data convergence opportunity
  • Project experience including analysis, testing, and implementation. Agile project management method.
  • Systems experience including big data, machine learning, robotic process automation, graph databases, crowdsourcing, blockchain, distributed ledgers.

You Offer
  • You have 2-6 years of full-time relevant work experience in data analytics.
  • Very good presentation, interpersonal, written and verbal communication skills in English as you will have to liaise with partners globally
  • You possess good storytelling and visualization skills and are a strong collaborator/facilitator
  • You have an entrepreneurial approach and possess good research skills
  • Technology domain expertise (e.g. Machine Learning, RPA, NLP, NLG, Big Data, Blockchain, Distributed Ledgers, Cryptography). Practical implementation experience preferred.
  • Programming skills (familiarity with R or Python or enterprise languages like Java or C).
  • Studied at least one of math / statistics / computer science / engineering / science to high level
  • Financial Services domain knowledge preferred, but other backgrounds will also be considered.
  • You are ambitious, dedicated and hardworking who can work on own initiative whilst also working collaboratively and deliver on time with a high level of integrity, sense of urgency, attention to detail and quality standards

Data Scientist
Mid-Senior-level Technology | Information | Information Technology Full-time Other | Engineering | Information Technology Data Scientist
Credit Suisse is a global financial services company providing Private Banking & Wealth Management services, and Investment Banking services and expertise, to companies, institutions and high-net-worth clients. We are active in more than 50 countries and employ over 46,000 people. 

Its our aim to build the bank of the future at Credit Suisse to work as one integrated bank, servicing our clients across regions and businesses. It also means fulfilling our responsibility to help shape the global economy, and to make a difference in people's lives.

We offer roles for experienced professionals and entry-level hiring programs in a variety of business areas. You will have the chance to make an impact from day one, and throughout your career with us, you will benefit from cross-business and international mobility opportunities. 

We look for people with a wide range of experiences, interests and degrees who will add fresh perspectives to our business. A career with us means that you can help shape our future.
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