Oferta pracy

Senior Data Scientist #198538

CREDIT SUISSE Poland

  • Wrocław

    Wrocław, Lower Silesia
  • offer expired 14 days ago
  • contract of employment
  • full-time
  • senior specialist (Senior)
  • hybrid work
  • запрошуємо працівників з України
  • Робота для іноземців
    без польської
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Запрошуємо працівників з України
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Technologies we use

Expected

  • Git

  • Tableau

Your responsibilities

An outstanding opportunity to join us as Data Engineer to drive and build solutions for our internal customers within a big data platform. Studying fundamental and high impact business questions that directly affect the direction of the company and the industry at large. Design and develop algorithms, build minimal viable products, carry out extensive validation with business experts and operationalize your methods. Your responsibilities include development, maintenance and extraction of knowledge from strategic internal and external data sets, as well as manage documentation of data attributes and data sources in a concise way.

Your future colleagues

The Chief Compliance Officer function is a highly visible, dynamic area where you can be an integral part of the decision-making that supports the bank’s business. We drive strategic and sustainable returns, and offer risk, controls and regulatory advice. You will join a team that is renowned for its dynamic and engaged culture. We believe our colleagues are our best asset. Become part of a highly motivated Analytics team at Credit Suisse. Work in international, demanding environment and work with us on the latest innovations in predictive analytics and visualization techniques to pioneer in building the state of the art technologies. Become part of an open-minded team with a strong team spirit in a collaborative, dynamic, and flexible working environment. We are a department which values Diversity and Inclusion (D&I) and is committed to realizing the firm’s D&I ambition which is an integral part of our global cultural values.

Our requirements

We are looking for a self-starter with proven experience as an independent problem solver. You are willing to co-operate in a highly collaborative environment and contribute/ help in the team's success while be taking on additional responsibilities to become a respected knowledge carrier within the team. We expect you to be a results oriented individual who demonstrates integrity, responsibility and confidentiality required for dealing with sensitive data.

You will be a good match if you have:

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

* Proficiency in PySpark and familiarity with assembling and analyzing big data sets from disparate sources applying quantitative methodologies. Knowledge of Palantir’s Foundry platform is a plus.

* Demonstrated ability in building production-ready data pipelines.

* 3+ years of proven work experience as Data Engineer, preferably in the financial industry.

* Experience working in agile software team, good knowledge in software life cycle management including version control (GIT).

* Knowledge of reporting tools (e.g. Tableau, Power BI) and experience collaborating with Front-End developers towards the delivery of products displaying visual analytics is an asset.

* Ability to manage stakeholder to effectively collaborate and build professional relationships across all organizational levels.

* Outstanding written and verbal communication skills with proficiency in English. Proven ability to manage work well under pressur

* Dedication to fostering an inclusive culture and value diverse perspectives

What we offer

  • Pension plan

  • Training and development

  • Internal Mobility

  • Other optional

  • Language training course

  • Mentoring

  • Health promotion: Multisport card, sporting events and groups within Credit Suisse (skiing trips, football team, running team, tennis training course etc.)

  • Employee discounts on various products and services (event tickets, consumer products, etc.)

  • Relocation package

  • Employee Referral Program

  • Benefits

  • private medical care

  • life insurance

  • remote work opportunities

  • flexible working time

  • parking space for employees

  • extra social benefits

  • kindergarten / nursery

  • christmas gifts

  • charity initiatives