Senior Data Scientist

Senior Data Scientist

CGI is seeking a Senior Data Scientist to support quantitative modeling, credit risk analysis, and financial forecasting within a large financial services environment. This role will focus on developing and enhancing analytical models used for CECL, DFAST/stress testing, credit risk measurement, and financial forecasting, with an emphasis on Multifamily portfolios. The Senior Data Scientist will apply statistical, econometric, and predictive modeling techniques to complex financial and credit data. The role works closely with Finance, Risk, business stakeholders, data engineering, and platform teams to understand business requirements, assess available data, evaluate model performance, and deliver reliable analytical solutions. Key responsibilities include developing and enhancing statistical, econometric, and predictive models supporting CECL, DFAST, stress testing, credit risk, and financial forecasting. Analyzing model results and performing credit related analysis across expected and stressed economic scenarios. Applying statistical modeling, econometrics, machine learning, data optimization, and other quantitative techniques to financial and risk related business problems. Developing Python, R, and SQL based analytical solutions and integrating models with enterprise data and technology platforms. Working with large, complex datasets to identify trends, relationships, risk drivers, and actionable business insights. Partnering with business owners, Finance and Risk teams, data engineers, and platform teams to understand requirements, data availability, and implementation considerations. Supporting modeling applications used for risk measurement, financial valuation, forecasting, decision making, and business performance. Evaluating model performance, researching alternative methodologies, and recommending enhancements based on analytical findings and industry practices. Supporting implementation and ongoing maintenance of analytical models in an AWS heavy enterprise environment. Developing Tableau and other data visualizations that clearly communicate model results, trends, and key risk drivers. Producing technical documentation and translating complex quantitative findings into clear recommendations for business and executive stakeholders. Providing technical guidance on data analysis and quantitative modeling activities while keeping work aligned with broader business objectives.

Required qualifications to be successful in this role include 5+ years of experience in data science, quantitative analytics, statistical modeling, econometrics, credit risk, or a closely related field. Strong Python and SQL skills for data analysis, modeling, and working with large datasets. Experience with R for statistical or econometric analysis. Hands on experience with CECL, DFAST/stress testing, financial forecasting, credit risk modeling, or similar financial risk analytics. Strong foundation in statistical modeling, econometrics, predictive analytics, and quantitative analysis. Experience evaluating model results, identifying performance issues, and translating analytical findings into business conclusions. Familiarity with machine learning techniques; NLP exposure is beneficial. Experience working with cloud based data and analytical environments, preferably AWS. Strong data analysis skills, including identifying trends, relationships, anomalies, and key business drivers. Experience creating data visualizations and communicating analytical results using Tableau or comparable tools. Familiarity with SQL development tools such as DBeaver. Experience with source control and collaborative development tools such as Bitbucket. Financial services experience strongly preferred, particularly in credit risk, lending, mortgage, Multifamily, or financial forecasting. Ability to communicate complex quantitative concepts to both technical and non technical stakeholders. Strong stakeholder management, problem solving, and cross functional collaboration skills. Education: Bachelor's degree or equivalent relevant experience in Data Science, Statistics, Economics, Applied Mathematics, Computer Science, Finance, or a related discipline.

What you can expect from us: Together, as owners, let's turn meaningful insights into action. 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, color, sex, religion, creed, age, national origin, citizenship status, disability, pregnancy, medical condition, military and veteran status, marital status, sexual orientation or perceived sexual orientation, gender, gender identity, and gender expression, familial status or responsibilities, reproductive health decisions, political affiliation, genetic information, height, weight, or any other legally protected status or characteristics to the extent required by applicable federal, state, and/or local laws where we do business. CGI provides reasonable accommodations to qualified individuals with disabilities. If you need an accommodation to apply for a job in the U.S., please email the CGI U.S. Employment Compliance mailbox at View email address on click.appcast.io. You will need to reference the Position ID of the position in which you are interested. Your message will be routed to the appropriate recruiter who will assist you. Please note, this email address is only to be used for those individuals who need an accommodation to apply for a job. Emails for any other reason or those that do not include a Position ID will not be returned. We make it easy to translate military experience and skills! Click here to be directed to our site that is dedicated to veterans and transitioning service members. All CGI offers of employment in the U.S. are contingent upon the ability to successfully complete a background investigation. Background investigation components can vary dependent upon specific assignment and/or level of US government security clearance held. Dependent upon role and/or federal government security clearance requirements, and in accordance with applicable laws, some background investigations may include a credit check. CGI will consider for employment qualified applicants with arrests and conviction records in accordance with all local regulations and ordinances. CGI will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with CGI's legal duty to furnish information.