About the Role
Wells Fargo is seeking Senior Quantitative Analyst/Data Scientist role and is responsible for delivering high impact analytic and data science projects by using analytics and AI.
Primary role of the advanced analytics consultant in the AI Model Development COE is to apply business knowledge and advanced programming skills and analytics to serve as a subject matter expert, analyst, advisor and consultant to support model lifecycle - model development, performance testing, data analysis, model implementation, model production, delivery of model results, change management, documentation and governance.
In this role, you will
- Person would be required to work individually or as part of a team on data science projects and work closely with business partners.
- Perform Data wrangling activities.
- He/she would be developing statistical/machine learning models using various techniques (supervised, unsupervised, semi-supervised) and technologies including but not limited to Python, R, SAS, Spark, H2O, Aster etc.
- Define business problem and translate it into analytical problem.
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- 4+ years of Quantitative Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
- Experience in Generative AI and Prompt Engineering
- Experience in various aspects of Natural Language Processing (NLP) such as regular expression, feature extraction, topic modeling etc. is must.
- Experience with supervise , unsupervised & semi supervise learning
- Experience with Deep-learning, Artificial intelligence techniques
- Understand basics of Image/Voice processing, digital analytics, deep learning, machine learning
- Good command over Excel, data management.
- Working expertise in Tensorflow, Keras or Pytorch would be added advantage
30 Oct 2024
*Job posting may come down early due to volume of applicants.
We Value Diversity
At Wells Fargo, we believe in diversity, equity and inclusion in the workplace; accordingly, we welcome applications for employment from all qualified candidates, regardless of race, color, gender, national origin, religion, age, sexual orientation, gender identity, gender expression, genetic information, individuals with disabilities, pregnancy, marital status, status as a protected veteran or any other status protected by applicable law.
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 US: 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.
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To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo .
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Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.
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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.