Sr. Quantitative Analytics Specialist

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:

• BS/BA degree or higher in a quantitative field such as applied math, statistics, engineering, physics, accounting, finance, economics, econometrics, computer sciences, or business/social and behavioral sciences with a quantitative emphasis
• Experience with NLP (Natural language processing), Large Language models (LLM), BERT, Llama, Gemini- pro, vertex AI
• Experience with supervise , unsupervised  & semi supervise learning
• Experience with Deep-learning, Artificial intelligence techniques, Generative AI and Prompt engineering solutions.  
• Strong programing skill
• Expertise in analytic tools : R, Python, Scala, Java
• Big Data skills – Aster, Hadoop, SPARK, H20 and various big data distributions like Hortonworks and MapR
• NLP, Text mining, Image/Voice processing, digital analytics, deep learning, machine learning
• Strong collaboration skills
• Output deployment using appropriate technologies (HTML5, Shiny, Django)
• Working expertise in Tensorflow, Keras or Pytorch would be added advantage
• Ability to translate analytical data into useful business information
• Critical thinking and strong problem solving skills
• Ability to learn the business aspects quickly
• knowledge of banking industry and products in at least one of the LOB such as credit cards, mortgage, deposits, loans or wealth management etc.
• Knowledge of functional area such as risk, marketing, operations or supply chain in banking industry.
• Ability to multi-task and prioritize between projects 
• Ability to work independently and as part of a team 

• Data Engineering
  • Sql ,Teradata, Hadoop, Spark
• Exploratory Data analysis
  • Provide exploratory data analysis using Python/R/SAS / SQL
  • Experience with Databases like oracle , Teradata, Sql server
  • Advance Excel skills
  • Data integration and clean up data for the usage
  • Experience with  structured data and semi-structured text or Excel files

• Business Intelligence
  • Tableau, Power BI, Shiny, Dash, HTML5
• Business Analytics
  • Data mining and Insights
  • Trend Analysis, forecasting and pattern recognition
  • Find opportunities in the data and able to communicate to the partners
  • Consult with partners to define issues/information needs.
  • Present findings to multiple levels of management
  • Ensure that analyses are delivered on time, while surpassing partner expectations
  • Ensure partner transparency throughout the life of the project
  • Proactively seek opportunities to increase the value of analysis
  • Strong oral and written communication and consultative skills

Job Expectations

• Person would be required to work individually or as part of a team on data science projects and work closely with business partners across the organization.
• He/She would 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 SAS, R, Python, Spark, H2O, Aster etc.
• Work closely with data engineers, BI and UI specialists and deliver top notch analytical solution for the bank.
• Define business problem and translate it into analytical problem.

Posting End Date: 

*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.

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 Disability Inclusion at Wells Fargo.

Drug and Alcohol Policy

Wells Fargo maintains a drug free workplace.  Please see our Drug and Alcohol Policy 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.