Vice President - Full Stack Engineer - Front Office Markets

Wells Fargo•Boston, MA

1d•$143,000 - $224,000

About The Position

Corporate & Investment Bank (CIB) delivers a comprehensive suite of banking, capital markets and advisory solutions, including a full complement of sales, trading and research capabilities, to corporate, government and institutional clients. We focus on our clients' overall financial needs, with consideration and respect for their total relationship with Wells Fargo. Markets provides solutions to clients with the means to manage their exposure through various derivatives, lending and cash products across Structured Products Group, Rates, Equities, Foreign Exchange, Municipal Products Group, Credit Sales & Trading. About this role: Wells Fargo is seeking a Lead Software Engineer Vice President level to join a team of ‘data strats’ in analyzing and remediating and developing solutions for data issues within the Markets Division. A successful applicant will have hands-on technical experience and proven track record of managing and resolving data related issues. The applicant also should partner with desks and engage with business owners in prioritizing and driving improvements in the completeness and structural organization of critical data. A primary focus will be on the ‘Vasara’ project. Vasara is the next generation risk platform for the bank. It is an ambitious, greenfield initiative to tackle the bank's risk computation challenges within capital markets, from ticking risk for trading desks to market risk and capital calculations such us FRTB and CCAR.

Requirements

5+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

Nice To Haves

4+ years of experience working with large-scale data systems of record
2+ years of experience in data analytics and architectures, including enterprise warehouses / data lakes and operational flows
3+ years of hands-on coding experience in Java, C++ or Python
2+ years of data science experience
2+ years of Process re-engineering experience identification of root cause analysis and remediation
Excellent verbal, written, and interpersonal communication skills
Experience leading data strategy and implementation at the enterprise level
Knowledge of data science packages like Keras, TensorFlow
Knowledge of data visualization tools
Knowledge of modern risk system architectures including upstream and downstream data handling, ETL and normalization processes and bi-temporality
Master's degree or higher in computer science or finance/mathematics or data science

Responsibilities

Lead complex technology initiatives including those that are companywide with broad impact
Act as a key participant in developing standards and companywide best practices for engineering complex and large scale technology solutions for technology engineering disciplines
Design, code, test, debug, and document for projects and programs
Review and analyze complex, large-scale technology solutions for tactical and strategic business objectives, enterprise technological environment, and technical challenges that require in-depth evaluation of multiple factors, including intangibles or unprecedented technical factors
Make decisions in developing standard and companywide best practices for engineering and technology solutions requiring understanding of industry best practices and new technologies, influencing and leading technology team to meet deliverables and drive new initiatives
Collaborate and consult with key technical experts, senior technology team, and external industry groups to resolve complex technical issues and achieve goals
Lead projects, teams, or serve as a peer mentor