C++/Pyspark Developer with Mortgage Risk

We are seeking a highly experienced and technically strong C++/Pyspark Developer with Mortgage Risk to support the implementation, optimization, and integration of mortgage risk models. The ideal candidate will have deep expertise in C++, Python, and data engineering, along with a strong understanding of risk and simulation modeling.

In this role, you will work closely with the Risk Modelling Team to translate complex mortgage risk models into production-ready systems, build supporting tools and GUIs, and ensure seamless model execution across multiple environments including QA, UAT, and Production., * Implement mortgage risk models developed in Python into C++ for scalable and efficient production usage.

• Support model execution and monitoring across QA, UAT, and Production environments.
• Collaborate with the Risk Modelling Team to fully understand mathematical and functional aspects of the models.
• Design and develop user interfaces and tools around the models to streamline usability and analysis.
• Ensure smooth integration of risk model components within broader system architecture and data pipelines.
• Work closely with upstream and downstream teams to ensure proper data flow and system interoperability.
• Participate in SDLC activities, including requirements gathering, design, development, testing, and deployment.
• Provide technical guidance, troubleshoot issues, and optimize performance across computing environments.
• Work in both independent and collaborative team settings to ensure timely and high-quality deliveries.

• 7+ years of hands-on C++ development experience with strong proficiency in modern C++ standards.
• Strong experience with Python and data processing frameworks (e.g., PySpark).
• Robust database expertise-SQL and platforms such as Databricks and Snowflake.
• Experience with grid computing technologies for large-scale model runs.
• Solid background in integration, software development, and/or infrastructure engineering.
• Strong understanding of system architecture and how data moves across upstream and downstream systems.
• Excellent relationship management, communication, teamwork, and stakeholder engagement skills.
• Strong verbal and written communication abilities, including interaction with senior stakeholders.
• Highly organized with exceptional analytical, problem-solving, and multitasking capabilities.
• Experience with SDLC processes and tools such as Jira, HP Quality Center, etc.
• Familiarity with both waterfall and agile development methodologies.
• Self-motivated with the ability to work independently as well as within teams.
• Ability to operate effectively in fast-paced, high-pressure environments.

Desired Skills

• Prior experience in the financial services industry, particularly in Market Risk or related risk modeling areas.

The base compensation range for this role in the posted location is: 90000-110000

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.

The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.

These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.

It is not typical for candidates to be hired at or near the top of the posted compensation range.

In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:

• Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave

• Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
• Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
• Life and disability insurance
• Employee assistance programs
• Other benefits as provided by local policy and eligibility

Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world., Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.