Technical Data Analyst, ENO

☞ Credit Suisse

View: 108

Update day: 06-05-2024

Location: Pune Maharashtra

Category: Finance / Bank / Stock Mechanical / Technical Pharmaceutical / Chemical / Biotech Maintenance Human Resources Education / Training

Industry: Financial Services

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Job content

Your field of responsibility

EDA drives strategic and sustainable returns on risk by providing Credit Suisse’s next generation market risk management solution with attestable data and reproducible quant analytics:

  • Platform composed of reusable data, services and models
  • Quants directly deliver data models and analytics content
  • Golden source of trade level and aggregated front-office risk measures
  • Computes firm-wide financial calculations with complex data dependencies at scale
  • Empowers enterprise risk driven trading, hedging and cross-desk capital allocation decisions

Within Enterprise Data & Analytics (EDA) Technology, the Data Engineering team sources, organizes and governs the data available to users of the EDA Platform.

Your future colleagues

Data Engineering has staff in the US, UK and Poland and is currently establishing a presence in Pune.

Our agile team is looking to grow in 2021 to adopt Cloud technology and provide the next generation calculation and analytics platform for the Firm’s risk reporting needs.

We understand the importance of flexible working, and we would encourage conversations about this. We are open to discussing both formal and informal flexible working arrangements.

The department 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

Your skills and experience

The successful candidate will have the following skills and 6-8 years of experience:

  • Subject matter-expertise in at least one of the following:
  • Product reference data
  • Trade data lifecycle and product characteristics
  • Front Office risk management (sensitivities and scenarios)
  • Experienced in problem solving
  • Professional experience performing data analysis on large datasets (using SQL, Excel, Python or similar tooling)
  • Market risk domain knowledge – including an understanding of risk methodology and an awareness of how data issues may impact calculations
  • Experience of the full development lifecycle as well as coordinating with IT teams to ensure data quality and completeness in data feeds
  • Outstanding team-player, self-motivated, proactive and can manage workload
  • Flexible, with the ability to communicate risks associated with conflicting task deadlines and can thrive under pressure
  • Dedication to fostering an inclusive culture and value diverse perspectives

Your new employer

Find a new home for your skills, ideas, and ambitions. Credit Suisse offers you the ideal environment to progress your career, attractive benefits and excellent training.

We are a leading wealth manager with strong global investment banking capabilities founded in 1856. Headquartered in Zurich, Switzerland, and with more than 45,000 employees from over 150 nations, we are always looking for motivated individuals to help us shape the future for our clients.

Credit Suisse is an equal opportunity employer. Welcoming diversity gives us a competitive advantage in the global marketplace and drives our success. Our bank provides reasonable accommodations to qualified individuals with disabilities, as well as those with other needs or beliefs as may be protected under applicable local law. If you require assistance during the recruitment process, please let your recruiter know.

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Deadline: 20-06-2024

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