Senior Quantitative Analytics-Specialist
- Wells Fargo
- 4 - 9 years
- Bengaluru
- 8 months ago
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Job Description
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:
- Required to work individually or as part of a team on multiple data science projects and work closely with business partners across the organization.
- Provide analytical support for developing, evaluating, implementing, monitoring and executing models across business verticals.
- Establish a consistent and collaborative framework with the business and act as a primary point of contact in delivering the solutions.
- Review and validate models and help improve the performance of the model under the preview of the banking regulations.
- Work closely with technology teams to deploy the models to production.
- Prepare detailed documentations for projects for both internal and external that complies regulatory and internal audit requirements
Job Expectations:
- Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science
- 4+ years of relevant hands-on experience in data science and advanced analytics.
- Demonstrated expertise in Generative AI, including large language models, Generative AI frameworks, and advanced NLP techniques which includes leading GenAI projects from conception to production
- Must have hands on experience in Python, PySpark, SQL etc. Exposure to Google Cloud Platform (Vertex AI, Big Query, GCP) or equivalent in AWS, Azure etc.
- Expert knowledge on working on large datasets and present conclusions to key stakeholders.
- Excellent verbal, written, and interpersonal communication skills
- Expertise in Prioritizing and Manage Projects effectively
- Experience in building quick prototypes to check feasibility and value to business
- Ability to deep dive and find root cause of the problems followed by developing solutions.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Business Intelligence & AnalyticsRole: Analytics ConsultantEmployement Type: Full timeContact Details:
Company: Wells FargoLocation(s): Bengaluru
Keyskills: Quantitative Analytics Big Query Azure Generative AI credit risk PySpark operational risk SQL data science GCP Vertex AI market risk analytical strategies AWS Python
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Wells Fargo
'Wells Fargo is committed to building an inclusive, sustainable recovery for all through a focus on opening pathways to economic advancement, championing quality, affordable homes, empowering small businesses to thrive, and enabling a just, low-carbon economy.'
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