Senior Data Scientist
Listed on 2025-12-28
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IT/Tech
Data Analyst, Data Science Manager
Overview
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CGI has an immediate need for a Senior Data Scientist to join our team. This is an exciting opportunity to work in a fast-paced team environment supporting one of the largest customers. We take an innovative approach to supporting our client, working side-by-side in an agile environment using emerging technologies.
We partner with 15 of the top 20 banks globally, and our top 10 banking clients have worked with us for an average of 26 years.
This role is located at a client site in Reston, VA. A hybrid working model is acceptable.
Responsibilities- Gather and analyze user requirements, translating business needs into technical specifications.
- Design and maintain quantitative models for mortgage and loan risk, including Monte Carlo simulations and time-series analysis.
- Collaborate with ETL teams to ensure accurate data loading and transformation.
- Develop and execute test scripts, troubleshoot data-related issues, and optimize performance.
- Work with large-scale datasets in cloud environments, leveraging AWS services for data processing and analytics.
- Communicate complex technical insights clearly to both technical and non-technical stakeholders.
- 7+ years of experience in data science
- Proficiency in Python (including libraries like Num Py, pandas, Sci Py, stats models, scikit-learn, Quant Lib).
- Advanced SQL skills for handling large, complex datasets.
- Strong grasp of Software Development Lifecycle (SDLC) and software engineering practices (Git, unit testing, CI/CD, shell scripting).
- Experience with AWS services (S3, Lambda, Batch, Glue, EMR, Cloud Watch, IAM, EC2).
- Familiarity with data lakes, No
SQL systems, and tools like Spark, Hive, Airflow. - Ability to design and optimize Monte Carlo simulations, time-series models, and risk factor models.
- Solid understanding of counter party credit risk, including Potential Future Exposure (PFE) methodologies.
- Knowledge of interest rate modeling, derivative pricing, and macro risk factor models.
- Ability to translate business requirements into technical ETL and database specifications.
- Experience creating source-to-target mappings and documenting business processes.
- Strong analytical thinking and attention to detail.
- Excellent communication and collaboration skills across technical and non-technical teams.
- Comfortable managing multiple tasks and priorities in a fast-paced environment.
- Familiarity with testing tools such as Mercury Quality Center or HP Quality Center.
- Professional certifications in data analytics, cloud technologies, or software development.
Bachelor's degree in Computer Science, Information Systems, or a related field.
CompensationEstimated range: $99,200.00 - $.
Benefits- Competitive compensation
- Comprehensive insurance options
- Matching contributions through the 401(k) plan and the share purchase plan
- Paid time off for vacation, holidays, and sick time
- Paid parental leave
- Learning opportunities and tuition assistance
- Wellness and Well-being programs
Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you’ll reach your full potential because…
You are invited to be an owner from day 1 as we work together to bring our Dream to life; that’s why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company’s strategy and direction.
Your work creates value. You’ll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise.
You’ll shape your career by joining a company built to grow and last. You’ll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons.
Come join our team—one of the largest IT and business consulting services firms in the world.
Qualified applicants will receive consideration for employment without regard to their race, ethnicity, ancestry,…
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