SAS Developer

CapGemini
London, UK
about 1 month ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source

Tech stack

Unit Testing Big Data Computer Programming Data Governance Extract Transform Load (ETL) Data Mining Data Structures Data Warehousing Fraud Prevention and Detection Python (Programming Language) Metadata SAS (Software)
+7 more
SQL Databases System Testing Macros Code Testing Data Management Machine Learning Operations Data Pipelines

Job description

A SAS Engineer in financial services designs and maintains analytical data pipelines, builds automated financial models, and ensures regulatory compliance. They bridge the gap between data platforms and business stakeholders, focusing on risk, fraud detection, and reporting within the banking and finance sector.

Hybrid working:

The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time.

Your Role:

  • Design, develop, and maintain SAS programs (Base SAS, SAS Macros, SQL, Data Step).
  • Build robust data pipelines for data extraction, transformation, validation, and loading.
  • Optimize SAS jobs for performance, scalability, and maintainability.
  • Work with large datasets (including SPDE, SAS datasets, external sources).
  • Perform thorough unit testing, system testing, and UAT support for SAS code.
  • Develop and maintain validation frameworks to ensure data accuracy.
  • Conduct impact assessment on code changes and data refresh cycles.
  • Document test cases, results, and coding standards.
  • Analyse complex datasets to identify patterns, trends, anomalies, and insights.
  • Prepare analytical outputs, dashboards, or reports in SAS or other BI tools.
  • Partner with business teams to understand data needs and translate them into technical designs.
  • Exposure to pricing frameworks, financial modelling, or actuarial concepts.
  • Understanding of regression models, forecasting techniques, or predictive models. Ability
  • Ability to partner with modelling teams to support data prep and model deployment.
  • Experience in pricing, modelling, actuarial data, or financial analytics.
  • Exposure to Python, R, or SQL-based analytical workload

Requirements

  • 5-10+ years of hands-on SAS programming experience.
  • Advanced skills in:
  • Base SAS
  • SAS Macros
  • SAS SQL
  • Data Step programming
  • SAS Enterprise Guide or SAS Studio
  • Experience with large datasets, data warehousing concepts, and ETL workflows.
  • Strong analytical and problem solving abilities.
  • Experience with code testing, validation, and quality control.
  • Solid understanding of data structures, metadata, and data governance.

We are a Disability Confident Employer:

Capgemini is proud to be a Disability Confident Employer (Level 2) under the UK Government’s Disability Confident scheme. As part of our commitment to inclusive recruitment, we will offer an interview to all candidates who:

  • Declare they have a disability, and
  • Meet the minimum essential criteria for the role.

About the company

  • You’d be joining an accredited Great Place to work for Wellbeing in 2024. Employee wellbeing is vitally important to us as an organization. We see a healthy and happy workforce a critical component for us to achieve our organizational ambitions.
  • To help support wellbeing we have trained Mental Health Champions’ across each of our business areas, and we have invested in wellbeing apps such as Thrive and Peppy.
  • You will be empowered to explore, innovate, and progress. You will benefit from Capgemini’s learning for life’ mindset, meaning you will have countless training and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard ManageMentor, Cybersecurity qualifications and much more.
  • You will be joining one of the World’s Most Ethical Companies®, as recognized by Ethisphere® for 13 consecutive years. We live our values by making ethical business choices every day. Working ethically is at the centre of our culture at Capgemini, meaning you will be helping to create a future we can all be proud of.

Why you should consider Capgemini:

Growing clients’ businesses while building a more sustainable, more inclusive future is a tough ask. When you join Capgemini, you’ll join a thriving company and become part of a collective of free-thinkers, entrepreneurs and industry experts. We find new ways technology can help us reimagine what’s possible. It’s why, together, we seek out opportunities that will transform the world’s leading businesses, and it’s how you’ll gain the experiences and connections you need to shape your future. By learning from each other every day, sharing knowledge, and always pushing yourself to do better, you’ll build the skills you want. You’ll use your skills to help our clients leverage technology to innovate and grow their business. So, it might not always be easy, but making the world a better place rarely is.

About Capgemini:

Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2024 global revenues of €22.1 billion.

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