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At Wells Fargo, we want to satisfy our customers' financial needs and help them succeed financially. We're looking for talented people who will put our customers at the center of everything we do. Join our diverse and inclusive team where you'll feel valued and inspired to contribute your unique skills and experience.
Help us build a better Wells Fargo. It all begins with outstanding talent. It all begins with you.
Wells Fargo Technology is a team of more than 40,000 information technology and security professionals who help keep Wells Fargo at the forefront of America's diversified financial services companies. Employees execute an engineering-led IT strategy to deliver stable, secure, scalable and innovative services that provide Wells Fargo global customers 'round-the-clock' banking access through in-store, online, ATM, and other channels. Wells Fargo Technology plays a critical role in the company's customer and employee experience, business and risk management transformation, and growth agenda.
Wells Fargo Capital Markets Data Services technology team is seeking a hands-on Software Engineer to work on Enterprise Market Risk Technology (EMRT) data initiatives partnering with Enterprise Market/Credit Risk Technology teams. Most of the data initiatives drive Wells Fargo Market Risk systems to perform valuations, simulations, aggregations and drive reporting of risk sensitivities and stresses on all the major assets classes: equities, bonds, commodities, currencies and their derivatives including structured products, and credit derivatives etc. Market risk activities include market risk, Counterparty Credit Risk, issuer risk, country risk and liquidity risk. The Market Risk systems are comprised of intra-day and overnight batch processes that handle staging for all trading position data and market data required for risk modeling as well as making this data available to the various risk valuation systems, Quantitative models and reporting, supporting trading activities as well as regulatory and business reporting requirements.
This Full Stack Java Software Engineer's responsibilities include but not limited to:
Development across multiple business driven technology initiatives.
Work with onshore and offshore teams on the design and implementation of Enterprise Risk Solutions using state of art design and implementation techniques.
Work with Staging, CDRT and Risk Insight teams on JAVA, SQL and ETL (SSIS) based solutions as needed.
Support current and future initiatives including development, testing and production support activities.
Design and implement highly distributed, scalable processes - Staging, Data Enrichments using SSIS/Talend, SQL, Strong data enrichment & delivery techniques using Java, Python, Mongo, SQL Server, SSIS, TFS and AutoSys.
Expected to work closely with business partners and analysts in order to understand the data requirements and to analyze and design the necessary data flow and database design.
Assures quality, maintainability, and extensibility for supported systems and risk applications.
Strong in performance tuning and designing high data volume for high performance through put on a daily basis. The successful candidate will need to have advanced information delivery and development skills in order to create effective data solutions that can be easily maintained and extended to meet the growing demands.
Effectively communicate application/data design to other members of the team to ensure proper implementation and utilization of the data structures.
Support ongoing ETL efforts for Development, QA and Production environments.
Ability to support current applications during off business hours
Experienced with code management, change management and deployment controls and processes.
Pays attention to details and has strong communication skills both in verbal and written and the ability to communicate effectively with peers and business users.
3+ years of Python experience
7+ years of Java experience
7+ years of experience writing Microsoft SQL Server relational database queries, stored procedures ,query optimization and performance tuning
6 + years of experience designing software solutions using software architecture design principles
5+ years of experience delivering ETL, data warehouse and data analytics capabilities on big-data architecture such as Hadoop
4+ years of experience with source coding in one or a combination of the following: GitHub, SVN(Subversion), TFVC (Team Foundation Version Control) or TFSGit (Team Foundation Server)
7+ years of software engineering experience
A BS/BA degree or higher in information technology
Ability to communicate effectively with business partners and project managers
Ability to develop and promote creative alternatives as a way to solve for business requirements
Ability to manage multiple and competing priorities
Ability to work effectively, as well as independently, in a team environment
Knowledge and understanding of Big Data
Knowledge and understanding of capital markets or trading
Knowledge and understanding of multiple source code version control systems in working with branches, tags and labels
Knowledge and understanding of technical documentation: creation of detailed design and technical artifacts
Strong analytical skills and ability to solve complex technical problems
3+ years of Tableau experience
5+ years of Agile experience
5+ years of data modeling experience
Strong verbal, written, and interpersonal communication skills
An industry-standard technology certification
Other Desired Qualifications
3+ years MongoDB development experience
Experience creating relevant SDLC documentation/deliverables as part of standard project implementations (architecture & design documents, deployment diagrams, source code, scripts, any necessary documentation, etc.)
Ability to collaborate with the managers to identify key solutions for regulatory obligations, risks, risk mitigations and review technical deliverables during the entire project life cycle.
High level of proficiency in working with systems required to effectively process large volumes of both real-time and batch transactions.
Experience defining data model development methodologies, principles, standards, and governance.
Ability to travel up to 5% of the time
NC-Charlotte: 1525 W Wt Harris Blvd - Charlotte, NC
All offers for employment with Wells Fargo are contingent upon the candidate having successfully completed a criminal background check. Wells Fargo will consider qualified candidates with criminal histories in a manner consistent with the requirements of applicable local, state and Federal law, including Section 19 of the Federal Deposit Insurance Act.
Relevant military experience is considered for veterans and transitioning service men and women. Wells Fargo is an Affirmative Action and Equal Opportunity Employer, Minority/Female/Disabled/Veteran/Gender Identity/Sexual Orientation.
Internal Number: 5551865
About Wells Fargo
Wells Fargo & Company (NYSE: WFC) is a diversified, community-based financial services company with $1.9 trillion in assets. Wells Fargo’s vision is to satisfy our customers’ financial needs and help them succeed financially. Founded in 1852 and headquartered in San Francisco, Wells Fargo provides banking, investment and mortgage products and services, as well as consumer and commercial finance, through 7,400 locations, more than 13,000 ATMs, the internet (wellsfargo.com) and mobile banking, and has offices in 32 countries and territories to support customers who conduct business in the global economy. With approximately 260,000 team members, Wells Fargo serves one in three households in the United States. Wells Fargo & Company was ranked No. 29 on Fortune’s 2019 rankings of America’s largest corporations. News, insights and perspectives from Wells Fargo are also available at Wells Fargo Stories.
www.wellsfargo.com | Twitter: @WellsFargo