Sr. Data Science Technologist (Software Engineer Specialty)

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

The Enterprise Functions Technology (EFT) group provides technology solutions and support for Risk, Audit, Finance, Marketing, Human Resources, Corporate Properties, and Stakeholder Relations business lines. In addition, EFT provides unique technology solutions and innovation for Wells Fargo Technology, Enterprise Shared Services, and Enterprise Data Management. This combined portfolio of applications and tools are continually engineered to meet the challenges of stability, security, scalability, and speed.

Compliance, Legal, Audit & Regulatory Technology (CLAR) provides technology support and development for Legal & Data Controls, Compliance Risk & Audit, Financial Crimes, Front Office and Second Line Risk, Employee Compliance, Regulatory Regulations, Market Surveillance, and Regulator Change Management.

CLAR Technology has embarked on an ambitious Risk Transformation program and as part of that we are looking for a Lead Data Science Technologist who is responsible for collecting, analyzing and interpreting extremely large amounts of data using advanced analytics technologies, including machine learning and predictive modeling.

Key duties and responsibilities of this position include:

• Analyze various data (structured and unstructured) across all lines of business (LOBs), using SAS, Python, Excel, VBA and SQL, and deliver testing and validation improvement strategies/recommendations based on findings.
• Engage with LOB business partners to understand how analytic activities are performed and processed into various systems. Translate this knowledge into an understanding of how data is populated into systems of record and data warehouses and synthesize findings into data and process insights.
• Develop reporting and analytics to ensure adequate and consistent monitoring of adherence to enterprise testing policies and standards across all LOBs. Work with peers within Data & Analytics to incorporate recurring analytics into suite of automated processes.
• Potential solutions include
• Text summarization
• Calculating text similarity
• Develop contextual question and answer systems
• Natural language generation
• Clustering, etc.
• Collaborate in producing executive-level insights and presentations that provide a clear line of sight in trends and metrics.
• Collaborating closely with developers and business stakeholders on the transition of your research into high-value business applications, such as replacement of manual testing processes with systematic, data-driven approaches. Independently designing and undertaking new research as well as partner in a team environment across the organization.
• Implementing policies, procedures and measurements to support program, including on-going monitoring and reporting and documentation

REQUIRED QUALIFICATIONS:

• 5+ years of Specialty Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
• 5+ years of experience in one or a combination of the following: securities, quants, artificial intelligence, or machine learning
• 5+ years of experience one or a combination of the following: reporting, analytics, or modeling in an information security environment, information technology environment, or a combination of both
• A Master's degree or higher

DESIRED QUALIFICATIONS:

• Prior Experience with Search engine design and optimization is highly favorable
• 8+ years of financial industry experience
• 8+ years of risk management experience
• 8+ years of SAS programming experience
• 8+ years of Python experience
• 6+ years of Operational Risk Management experience
• Knowledge of Octave, Matlab and C/C++
• Extensive knowledge and understanding of research and analysis
• Strong analytical skills with high attention to detail and accuracy
• Basic knowledge of industry regulations related to building technological solutions
• Excellent verbal, written, and interpersonal communication skills
• Wells Fargo software engineering experience
• Master's degree or higher in a quantitative discipline
• A PhD in a quantitative discipline 
• A professional certification in technology 

JOB EXPECTATIONS:

• Ability to travel up to 10% of the time
• Ability to work additional hours as needed
• Ability to work outside of regular business hours

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.