Quantitative Research Analyst in the Multi-Asset Solutions

Wells Fargo provides middle market, large corporate and financial institution customers with a range of international solutions, including treasury management, credit, payments, financing, foreign exchange, and trade services. Wells Fargo operates from 42 countries and territories outside of the U.S., including branches in Beijing, Cayman Islands, Dubai International Financial Center (DIFC), Hong Kong, London, Seoul.

The Quantitative Research Analyst in the Multi-Asset Solutions (MAS) team at Wells Fargo Asset Management (WFAM) will assist the MAS team in developing their quantitative research tools and capabilities. Specifically, these capabilities include building, and automating portfolio construction, management, and reporting processes. Portfolio construction would include implementing and using a multi-asset risk model, signal construction, strategic and tactical asset allocation and optimization using large datasets of market, securities, holding and related information. Portfolio management processes include using trading signals to rebalance portfolios, trade generation, trade implementation and monitoring trade execution. Reporting includes aesthetically pleasing, interactive data visualization of portfolio and performance data.

We’re looking for someone passionate about quantitative analysis as well as practicing best software design principles. As an ideal candidate, you will have experience developing portfolio management, trading and reporting processes and tools in a multi-asset setting, with a strong background in statistical data analysis, programing (R, Python), software lifecycle (concept, design, build, deploy, test, and support; (GitHub), data visualization (DevExpress Dash Boar or Tableau), familiarity with database design and usage of SQL and deep knowledge of modern portfolio theory and financial datasets. You may either have strong background in software development and demonstrated a keen interest in portfolio management team while being a prodigious, disciplined, coder.

Responsibilities:

• Under the direction of senior members of the MAS team and working in close collaboration with IT:
  • Design, create and maintain a technology solution suite to automate our portfolio construction, management, trading and reporting
  • Develop and maintain appropriate datasets for persistent storage and retrieval of business data
  • Create data visualizations
  • Participate and contribute to MAS investment strategy research.

Market Skills and Certifications

Required Qualifications:

• Bachelor’s degree in Engineering, Computer Science, Mathematics, Economics, Finance or a related quantitative field.
• Work experience supporting a multi-asset portfolio management team in either a quantitative analyst or software development role.
• Proven knowledge of R, Python, GitHub, SQL, Data Visualization.

Desired Qualifications:

• Master’s degree in Engineering, Computer Science, Mathematics, Economics, Finance or a related quantitative field; advanced degree preferred.
• CFA or ASA designation a plus
• Strong programming skills and experience
• Work experience as a quantitative analyst in a multi-asset portfolio setting with proven software development skills
• Self-starter who thrives in a dynamic and entrepreneurial environment
• Excellent verbal, written, and interpersonal communication skills
• Strong organizational, multi-tasking, and prioritizing skills
• Ability to work effectively, as well as independently, in a team environment
• Ability to work in a fast-paced deadline driven environment
• Exceptional quantitative, technical and analytical skills
• Track record of intellectual curiosity and research innovation.

Team members 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.