Credit E-Trading - Algorithmic Trader & Strat

at  Wells Fargo

Successful candidate will assume the role of Algorithmic Trader and Strat within the FICC E-Trading team. Candidate will have extensive experience in designing, developing, and managing profitable systematic market making algorithms in Credit products. The candidate will work closely with Credit E-Product team, HG & HY trading desks, and E-Trading technology teams to assist with the continual design, development, and risk management of systematic liquidity-servicing strategies for Credit products. This role will focus on engineering and managing strategies that exist within a larger, low-latency framework, performing extensive customer pricing analysis and inventory optimization approaches across eCredit products. Research will involve driving the discovery of revenue generating strategies leveraging data-driven techniques, analysis of new alpha signal generators, and performing strategy back-testing. Candidate will have the exciting opportunity to be directly involved in a focal growth area within the franchise.

Specifically, this individual will focus on the following efforts:

• Responsible for driving the growth of the credit algo through systematic risk management and accretive revenue production of algorithmic trading strategies focusing on liquidity provision, internalization, and exhaust optimizations in Credit products
• Partner with E-Platform teams, HG & HY trading desks, quant teams, and E-Trading technology teams to manage the development, lifecycle, and monitoring of algorithmic trading strategies focused on eCredit
• Partner with Portfolio Trading and ETF desks to integrate algo capabilities throughout the workflow
• Responsible for interfacing with support groups on model governance, model validation, ET governance, and algorithmic trading strategy KPIs
• Work with technology and data teams to enhance current trading data analytics framework

Required Qualifications, US:

• 7+ years of Securities Algorithmic Trading experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

Desired Qualifications:

• Direct experience in managing electronic market making risk books in Credit
• Degree in financial engineering, mathematics, statistics, computer science, econometrics or other quantitative science
• 7+ years in algorithmic/quantitative/options trading role at a major sell-side firm or PTF
• 7+ years experience in designing, developing, and managing profitable systematic market making algorithms in Credit products.
• Proven track record in building profitable, high sharpe liquidity servicing strategies
• Strong knowledge in advanced time-series analysis, predictive modeling, alpha research
• Proficiency in leveraging machine learning algorithms within a markets environment
• Experience with advanced portfolio and parameter optimization methods
• Strong understanding of Big Data, Data Analytics, and Data Science
• Strong mathematics and statistics background
• Ultra-low latency system architecture knowledge
• The ideal candidate will be an extremely motivated, proactive and solution-oriented individual
• Ability to articulate complex ideas both written and verbally

Job Expectations:

• Registration for FINRA Series 7 must be completed within 90 days of hire date if it is not available for transfer upon hire. FINRA recognized equivalents will be accepted.
• Registration for FINRA Series 63 (or 66) must be completed within 90 days of hire date if it is not available for transfer upon hire. FINRA recognized equivalents will be accepted.

APPLICANTS WITH DISABILITIES

To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo .

Please refer the Job description for details