Market Job Description

About Wells Fargo in India & Philippines
Wells Fargo in India & Philippines enables global talent capabilities for Wells Fargo Bank NA., by supporting business lines and staff functions across Technology, Operations, Risk, Audit, Process Excellence, Automation and Product, Analytics and Modeling. We are operating in Hyderabad, Bengaluru, Chennai & Manila locations.

Department Overview

Consumer and Small Business Banking (CSBB) provides financial services to 21 million retail bank households and three million small business customers through approximately 4,500 retail branches, 17 customer service centers, and approximately 13,000 ATMs in 36 states and the District of Columbia. We serve and help individuals and families in many aspects of their lives, helping them buy homes, open first bank and savings accounts, buy cars to get to and from work or school, and start or grow small businesses. CSBB is focused on innovating and transforming with the customer at the center, better enabling customers to engage with us how, when, and wherever they choose. As an industry leader in many consumer and small business areas - including retail deposits, debit card transaction and purchase volume, and small business lending - our primary goal is delivering for our customers.

Team Overview - Consumer Data Analytics and AI (CDAI)

The CDAI group works across the Consumer & Small Business Banking (CSBB), Consumer Lending, and Wealth and Investment Management lines of business to develop coordinated strategies for growth in each of Wells Fargo's customer segments. The team is responsible for designing seamless, engaging customer experiences across products and channels, and building the next-generation digital, data and analytics, and functional capabilities required to deliver toward these objectives.

About the Role

The Consumer Model Development Centre, within CDAI organization, is looking for Quantitative analytics specialist to join our team and help us solve challenging and interesting business problems through data exploration, advanced analytics and visualization. In this highly valued role, you will be working on ML/AI models within the Center of Excellence (COEs) with varied competencies, including Developing Models, Monitoring, Deployment, and Analytic Quality Review. This role is highly hands on position in the area of ML/AI and Data science across.

Responsibilities

• Required to work individually or as part of a team on data science projects and work closely with business partners across the organization.

• Perform various complex activities related to statistical/machine learning. Provide analytical support for developing, evaluating, implementing, monitoring and executing models across business verticals using emerging technologies including but not limited to Python, Spark, and H2O etc.
• Ability to work with large datasets using SQL and present conclusions to key stakeholders.
• Establish a consistent and collaborative framework with the business and act as a primary point of contact in delivering the solutions.
• Build quick prototypes to check feasibility and value to business.
• Develop and maintain modular code-base for reusability
• 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

Required skills:

• 2+ 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 statistics, mathematics, physics, engineering, computer science, economics, or quantitative discipline

Desired Skills

• Bachelors or Master's degree in Engineering field like computer science, Information technology, Electrical Engineering etc.
• M.Sc./M.Phil. in statistics/economics/mathematics/ operations research engineering physics

• 3 - 5 years of relevant hands on experience in data science and advanced analytics.
• Must have hands on exposure in Python and SQL.
• Working knowledge of libraries like, sckit-learn, pandas, numpy, mllib, matplotlib, keras...
• Proficiency in data mining and statistical analysis.
• Experience in developing, implementing models.
• Statistical models - linear regression, logistic regression, time series analysis, multivariate statistical analysis
• Machine learning models - Random forest, XGBoost, GBM, SVM...
• Exposure to deep learning framework - ANN,RNN, CNN, LSTM
• Excellent understanding of model metrics including AUC, ROC, F-statistics etc. with clear understanding of how model performance is tuned
• Strong programing skills.
• Exposure in one or more of Big Data skills - SQL, Aster, Teradata, Hadoop, SPARK, H20, BigQuery.
• Exposure to Google Cloud Platform
• 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.is desirable
• Knowledge of functional area such as risk, marketing, operations or supply chain in banking industry is desirable
• Ability to multi-task and prioritize between projects
• Ability to work independently and as part of a team

• Working expertise in Tensorflow, Keras or Pytorch would be added advantage

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.