Lead Developer: Model Framework, API's and Data Science

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

At Wells Fargo, we are looking for talented people who will put our customers at the center of everything we do. We are seeking candidates who embrace diversity, equity and inclusion in a workplace where everyone feels valued and inspired.

Help us build a better Wells Fargo. It all begins with outstanding talent. It all begins with you.

Technology sets IT strategy; enhances the design, development, and operations of our systems; optimizes the Wells Fargo infrastructure; provides information security; and enables Wells Fargo global customers to have 24 hours a day, 7 days a week banking access through in-branch, online, ATMs, and other channels.

Our mission is to deliver stable, secure, scalable, and innovative services at speeds that delight and satisfy our customers and unleash the skills potential of our employees.

Corporate Risk technology has embarked on an ambitious Risk Transformation program and as part of that we're looking for a Software Sr Engineer (Calculation Services) who will partner with the key business, risk, and Enterprise Information Technology (EIT) leaders to drive all activities, including strategy, planning, and implementation of key deliverables for the Calculation Services group which focuses on Model development, testing, and deployment areas. Enterprise Risk CIO organization provides technology to several lines of business and is a 700+ person global organization. This team works closely with the Corporate Model Risk and Risk CoEs to ensure that the corporation meets its regulatory and compliance time-lines. This is a unique opportunity to make a huge impact to the Risk and Finance organization as various transformational projects are implemented.

We are seeking a Lead Software Engineer with experience in design, development of enterprise systems, and handling high volumes of data, Domain knowledge in Financial risk and some hands-on keyboard experience. Candidate will be part of the team which supports technology needs of Model Integration and Implementation for model life cycle activities like model development, testing, integration, production runs, and model performance monitoring. Technologies used are a suite of state-of-the-art Quant tools which include Python, R, Spark, Scala, H2O, etc.

Responsibilities include:

• Drives and participates in design, development, and implementation of large and complex application, owning your solution through implementation.
• Works closely with developers and testers to ensure requirements and functional designs are translated accurately into working technical designs, and that test plans and scripts meet customer needs.
• Works with developers and business partners to understand application defects, performance problems, and data anomalies.
• Creates a roadmap for implementation of various data preparation activities for model team and troubleshoots data questions.
• Drives requirements and design discussions in both Agile and Waterfall methodologies.

Required Qualifications

• 5+ years of software engineering experience
• 5+ years of experience in application & data architecture and solution design
• 4+ years of experience delivering ETL, data warehouse and data analytics capabilities on big-data architecture such as Hadoop
• 2+ years of experience with Big Data or Hadoop tools such as Spark, Hive, Kafka and Map

Desired Qualifications

• An industry-standard technology certification
• Strong verbal, written, and interpersonal communication skills
• A BS/BA degree or higher in science or technology
• Agile experience
• Ability to communicate effectively with a quantitative development team about models and integration strategies
• Ability to gather, analyze, and interpret large datasets
• Advanced Microsoft Office (Word, Excel, and Outlook) skills
• Knowledge and understanding of risk management or quantitative modeling
• Strong analytical skills with high attention to detail and accuracy
• 5+ years of data modeling experience
• Experience with design, implementation and governance with Artificial Intelligence, Natural Language Processing or Machine Learning Architecture
• 3+ years of securities industry experience
• Knowledge and understanding of risk management, in financial services
• Experience with risk technology solution design
• 2+ years of cloud computing experience, preferably with GCP

Job Expectations

• Ability to travel up to 10% of the time