C & Python Expert with Market Risk Models
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Job Location : New York, NY
Job Description
We are seeking a highly skilled Senior Developer with deep expertise in C, Python, PySpark, Snowflake, Databricks, and modern SDLC practices. In this role, you will be responsible for implementing mortgage risk models written by PBG Strats in Python and translating them into C for production deployment. You will support model runs across multiple environments (QA, UAT, PROD) and work closely with WM Strats to fully understand model design, simulation methodologies, and workflow requirements. Additionally, you will contribute to building user-facing GUI components and ensure seamless integration with downstream systems.
This position requires a strong technical background, excellent communication skills, and familiarity with risk modeling, simulation modeling, and large-scale distributed computing.
Key Responsibilities
- Implement and convert mortgage risk models from Python to C in alignment with PBG Strats’ specifications.
- Support and troubleshoot model execution across QA, UAT, and Production environments.
- Collaborate with WM Strats to thoroughly understand model logic and help design and develop GUI components around the models.
- Ensure smooth integration of model outputs with upstream and downstream systems.
- Work with Databricks, Snowflake, and distributed computing technologies to optimize data pipelines and model performance.
- Participate in architecture discussions, ensuring efficient data flow, systems integration, and operational stability.
- Follow best practices across SDLC, contributing to design, development, testing, documentation, and deployment.
- Partner with cross‑functional teams, effectively communicating complex concepts to technical and non-technical stakeholders.
- Manage task priorities in a fast-paced environment and ensure high-quality deliverables.
Required Skills & Experience
- 7+ years of hands-on C development experience.
- Strong proficiency in Python and PySpark.
- Deep experience with SQL, Databricks, and Snowflake.
- Experience with grid computing technologies (e.g., HPC, distributed clusters).
- Strong technical background in integration development and/or infrastructure engineering.
- Familiarity with system architecture and data flow between upstream and downstream systems.
- Excellent communication, relationship management, problem-solving, and organizational skills.
- Ability to collaborate across senior business and technology stakeholders.
- Strong understanding of SDLC, development methodologies (Waterfall, Agile), and tools such as Jira, HP Quality Center, etc.
- Self‑motivated with the ability to work independently and in team-based environments.
- Ability to work in a high‑pressure environment and manage multiple priorities effectively.
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.
Disclaimers
Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.
This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.
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Click the following link for more information on your rights as an Applicant in the United States. http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law
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.
New York, NY, US
Nearest Major Market: Manhattan
Nearest Secondary Market: New York City