3 Statistical Theory Jobs

About this role: Wells Fargo is seeking a Senior Quantitative Analytics Specialist In this role, you will: Perform highly complex activities related to creation, implementation, and documentation Use highly complex statistical theory to quantify, analyze and manage markets Forecast losses and compute capital requirements providing insights, regarding a wide array of business initiatives Utilize structured securities and provide expertise on theory and mathematics behind the data Manage market, credit, and operational risks to forecast losses and compute capital requirements Participate in the discussion related to analytical strategies, modeling and forecasting methods Identify structure to influence global assessments, inclusive of technical, audit and market perspectives Collaborate and consult with regulators, auditors and individuals that are technically oriented and have excellent communication skills Required Qualifications: 4+ years of Quantitative Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science Desired Qualifications: Experience in building or validating scorecard models(application/behavioral/collections/ account management) Posting End Date: 28 Aug 2025 We Value Equal Opportunity Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic. Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit's risk appetite and all risk and compliance program requirements. Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process. Applicants with Disabilities To request a medical accommodation during the application or interview process, visit . Drug and Alcohol Policy Wells Fargo maintains a drug free workplace. Please see our to learn more. Wells Fargo Recruitment and Hiring Requirements: a. Third-Party recordings are prohibited unless authorized by Wells Fargo. b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.

As a Biostatistician at CPVIA, a clinical data analytics solutions company in Hyderabad, you will utilize your expertise in statistical programming and consulting to support pharmaceutical, biotechnology, and medical device companies. Your primary focus will be on accelerating drug development activities while maintaining high quality standards and cost efficiency through collaboration with a team of experienced professionals. With a minimum of 3 years of experience in the pharmaceutical industry, you will play a crucial role in providing internal statistical support by closely working with lab scientists, technicians, statisticians, and programmers. Your responsibilities will involve collaborating with various stakeholders to facilitate drug development activities and ensure successful project outcomes. To excel in this role, you are required to hold a university degree in Sciences or Engineering, with a post-graduate qualification in Biostatistics or equivalent statistical experience. You should have a strong grasp of statistical theory, diverse methodologies, and experimental designs. Proficiency in SAS, R (and JMP) is essential, along with effective communication skills to bridge theoretical concepts with practical applications. Being a team player is vital as you will be expected to share knowledge within multidisciplinary teams and contribute to study oversight and delivery. Experience in developing protocols, Statistical Analysis Plans (SAP), Tables, Figures, and Listings (TFL) is advantageous. Additionally, your technical skills in power calculation, simulations, and Quality Data Model (QDM) will be valuable assets in this role. If you meet the qualifications mentioned above and are passionate about making a meaningful impact in drug development, we encourage you to apply by submitting your resume to info@cpvia.com. Join us at CPVIA and be part of a dynamic team dedicated to driving innovation and excellence in clinical data analytics.,

As a Biostatistician at CPVIA, a clinical data analytics solutions company based in Hyderabad, you will play a crucial role in providing statistical programming outsource and statistical consulting services to pharmaceutical, biotechnology, and medical device companies. Your primary responsibility will be to offer internal statistical support by collaborating closely with lab scientists, technicians, and other statisticians/programmers within the team. Your expertise will be instrumental in supporting various drug development activities for our clients. To excel in this role, you must have a minimum of 3-10 years of experience in the pharmaceutical industry. A background in Sciences or Engineering at the university level, complemented with a post-graduate degree in Biostatistics or equivalent statistical experience, is essential. Proficiency in SAS, R (and JMP), and a deep understanding of statistical theory across various methodologies and experimental designs are prerequisites for this position. We are looking for a team player who can effectively communicate and collaborate within multidisciplinary teams. Your role will involve contributing to the development of protocols, SAPs, and TFLs, as well as overseeing studies and ensuring timely delivery. Strong technical skills in power calculation, simulations, and QDM will be beneficial in fulfilling the requirements of this role. If you meet the qualifications mentioned above and are passionate about contributing to the acceleration of drug development activities with top-notch quality and cost-effectiveness, we invite you to share your resume with us at info@cpvia.com. Join our experienced and expert team at CPVIA to make a significant impact on the pharmaceutical and biotechnology sectors.,