Ludwig J
Quantitative Analyst
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolLudwig J is a London-based quantitative analyst with nine years of experience building signal-driven strategies and conducting research for Global Markets at Bank of America. An Imperial College MEng in Electronic and Information Engineering, he blends EE and CS foundations with practical expertise in Python, time-series anomaly detection, and SQL/NoSQL data pipelines. He has driven work that evaluated SaaS anomaly-detection on real and synthetic data—work that identified potential multi-million pound savings—and routinely partners with traders to deliver bespoke analytics not available from standard terminals. Comfortable moving models from research to production, he focuses on data-driven signal generation and backtesting within QSDG, bringing both academic rigor and hands-on engineering to market-facing problems.
9 years of coding experience
Gymnasieexamen (High school equivalent), Naturvetenskap (Natural Sciences), Graduated with overall A, Gymnasieexamen (High school equivalent), Naturvetenskap (Natural Sciences), Graduated with overall A at Enskilda GymnasietMaster of Engineering - MEng, Electronic and Information Engineering, Master of Engineering - MEng, Electronic and Information Engineering at Imperial College London
English, Swedish
Github Skills (12)
filesystem4
django-cache4
persistence4
key-value-store3
disk3
pure-python3
python3
django3
memcached3
redisearch2
redis-streams2
redis2
Programming languages (1)
Github contributions (5)
LudwigAJ/FPGA_Floating-Point_Artithmetic
Mar 2021 - Apr 2021
Contributions:137 commits, 22 pushes in 15 days
LudwigAJ/Ludde_chat
Dec 2019 - Feb 2020
Contributions:45 commits, 44 pushes, 1 branch in 1 month
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