Wells Fargo Hiring for Senior Quantitative Analytics Specialist – Data Engineering for Fraud Model at San Francisco Full Time

About this role:

Wells Fargo is seeking a Senior Quantitative Analytics Specialist…

In this role, you will:

• Develop efficient data pipeline to enhance data exploration, data extraction, data analysis, and modeling data creation for fraud model development utilizing python based open-source big data computing platform

• Work in a R&D environment analyzing and extracting predictive patterns from multiple source of records containing billions of transactions

• Lead and participate in critical debugging, testing, validation, data quality check, and performance tuning for data extraction, data wrangling, and feature engineering code written in Python, PySpark, and/or SQL

• Collaborate with key database owners to ensure data are business driven and properly retrieved with highest data integrity

• Prepare ad-hoc analysis and reporting as requested

• Responsible for documenting and presenting detailed data processes and results that are suitable for a variety of audiences

• Lead and participate intensive team discussions, interactions with cross-functional teams, and dialogues with internal reviewers (Model Validation and Internal Audit)

• Respond to ongoing analytical requests and data process controls from auditors and regulatory reviewers in timely manner

Required Qualifications, US:

• 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 field such as mathematics, statistics, engineering, physics, economics, or computer science

Desired Qualifications:

• A PhD in a quantitative discipline

• Solid SQL skills including query design and optimization

• 3+ years of experience in one of Teradata, MS SQL Server, DB2, Oracle, or other relational databases

• 1+ years of experience in NoSQL database such as MongoDB

• Solid Python programming skills

• Experience in data analysis and wrangling using pandas, PySpark, or numpy, etc.

• Experience in big data environment utilizing distributed processing via Hadoop and Spark

• Experience in SAS base, SAS macro, SAS SQL, and/or SAS stats, etc.

• Fraud detection modeling/analytical experience in banking or financial service industry

• Knowledge of, and hands-on experience with, statistical model development/validation, utilizing best modeling practices and methodologies in the areas of data processing, sampling, model design/specification, model performance assessment, and evaluation testing

• Detail oriented and possess a results-driven attitude committed to the highest quality work

• Excellent verbal, written, and interpersonal communication skills

• Strong analytical skills with high attention to detail and accuracy

• Ability to prioritize work, meet deadlines, achieve goals and work under pressure in a dynamic and complex environment

• Experience developing partnerships and collaborating with other business and functional areas

Job Expectations:

• n/a

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, or status as a protected veteran.

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.

Company: WELLS FARGO BANK

Req Number: R-168430-5

Updated: Mon May 23 05:02:22 GMT 2022

Location: San Francisco,California