Kangan Chen
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Kangan Chen Email & Phone Number

Equities Systematic Trading Developer @ Jefferies | MSc Data Science & Machine Learning @ UCL | MEng Mechanical Engineering @ Imperial College London | at Jefferies
Location: London, England, United Kingdom 5 work roles 4 schools
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Current company
Jefferies
Role
Equities Systematic Trading Developer @ Jefferies | MSc Data Science & Machine Learning @ UCL | MEng Mechanical Engineering @ Imperial College London |
Location
London, England, United Kingdom
Company size
5159 employees

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Kangan Chen is listed as Equities Systematic Trading Developer @ Jefferies | MSc Data Science & Machine Learning @ UCL | MEng Mechanical Engineering @ Imperial College London | at Jefferies, a with 5159 employees, based in London, England, United Kingdom. AeroLeads shows a matched LinkedIn profile for Kangan Chen.

Kangan Chen previously worked as Equities Systematic Trading IT Analyst at Jefferies and Data Science Intern at Post Urban. Kangan Chen holds Master'S Degree, Data Science And Machine Learning from Ucl.

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Jefferies

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About Kangan Chen

I am a Data Scientist and Software Engineer with expertise in Python programming, machine learning, deep learning, NLP, and large language models (LLMs). My experience spans developing LLM-driven applications for retrieval-augmented generation (RAG) and knowledge graphs construction, training deep learning models for image segmentation and time-series predictive analytics, and software engineering in financial firms across the UK.I have completed internships at leading financial institutions such as Jefferies and Deutsche Bank, where I applied my skills in software engineering and data analytics. Most recently, at Post Urban Ventures, I built LLM-powered pipelines to automate knowledge graph construction for the FinTech startup ecosystem, capturing data from 4,963 companies and 9,628 products, while utilising graph analytics to extract investment insights.Having completed my Master's in Data Science and Machine Learning at UCL, I have developed a deep interest in FinTech development, quantitative trading and advancing LLMs and deep learning. My academic projects include pre-training and fine-tuning models for computer vision, building cloud-based systems for 3D protein prediction and designing trading strategies using LSTM algorithms.

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Jefferies
Jefferies
Equities Systematic Trading Developer @ Jefferies | MSc Data Science & Machine Learning @ UCL | MEng Mechanical Engineering @ Imperial College London |
new york, new york, united states
Website
jefferies.com
Employees
5159
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5 roles

Kangan Chen work experience

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Equities Systematic Trading It Analyst

Current
Jefferies

London Area, United Kingdom

Sep 2024 - Present

Data Science Intern

Post Urban

London Area, United Kingdom

- Designed and implemented an LLM-powered pipeline for web scraping and automated knowledge graph construction using LangChain, creating a comprehensive knowledge graph of the FinTech startup ecosystem, with 4,963 companies and 9,628 products captured.- Applied advanced analytics techniques, including UMAP, HDBSCAN for clustering, and Louvain for community detection, to analyse FinTech knowledge graphs and uncover market trends and investment opportunities.- Managed graph databases in Neo4j, building and querying knowledge graphs to support a Retrieval-Augmented Generation (Graph-RAG) system, achieving 84% accuracy in answering financial queries.

Jun 2024 - Sep 2024

Equities Technology Intern

Jefferies

London, England, United Kingdom

- Developed and deployed Python-based automated benchmarking tests in a UNIX production environment to monitor the performance of multiple algorithmic trading components.- Collaborated with traders and quants, conducting data analytics tasks with Pandas to compute real-time statistics for various trading books and creating interactive Plotly visualisations, facilitating data-driven decision-making.Full-time offer received

Jun 2023 - Sep 2023

Data Engineering Intern (Tdi)

Deutsche Bank

London, England, United Kingdom

- Engineered a data pipeline to process and monitor corporate client transactions, using PySpark and Hadoop. - Investigated the Environmental, Social and Governance (ESG) profiles of 11 large banks by conducting NLP analysis, including Sentiment Analysis, Topic Extraction and Word Embedding Analysis employing Google’s APIs, tuned BERT models and a skip-gram-based model on nearly 10,000 news articles, scraped automatically via Selenium. - Build a cloud-native analytics dashboard on GCP via Plotly Dash and Python Flask to produce interactive visualisations showcasing ESG profiles of different banks and making strategic recommendations.Full-time offer received

Jun 2022 - Aug 2022

Research & Development Intern

Zf Group

Jiaxing, Zhejiang, China

- Processed and analysed over 40 million customers’ data on gear-shifting habits, frequency and subsequent car performance to estimate gear’s damage for fatigue performance analysis.- Built an interactive analytics programme for repeatable insight generation and prepared Standard Operating Procedure (SOP) documents for the R&D team to unlock further product improvement.

Aug 2021 - Nov 2021
Team & coworkers

Colleagues at Jefferies

Other employees you can reach at jefferies.com. View company contacts for 5159 employees →

KT Kaijie Tan Kaijie Tan Colleague at JefferiesSingapore View → UR Usha Rani Usha Rani Colleague at JefferiesHouston, Texas, United States View → JE Josette Egan Josette Egan Colleague at JefferiesNew York, United States View → JB James Birchall James Birchall Colleague at JefferiesBoston, Massachusetts, United States View → JM John Melnick John Melnick Colleague at JefferiesFairfield, Connecticut, United States View → SS Shannon Sully Shannon Sully Colleague at JefferiesHopatcong, New Jersey, United States View → JM Jesus Morales Jesus Morales Colleague at JefferiesMérida, Yucatán, Mexico View → AM Ali Mark Ali Mark Colleague at JefferiesJiddah, Makkah, Saudi Arabia View → DN Dusan Nogulovic Dusan Nogulovic Colleague at JefferiesNew York, United States View → SN Scott Nagelson Scott Nagelson Colleague at JefferiesSan Francisco, California, United States View →
4 education records

Kangan Chen education

Master'S Degree, Data Science And Machine Learning

Ucl

Modules: Financial Engineering, Supervised Learning, Introduction to Statistical Data Science, Engineering for Data Analysis, Algorithmic.

Master Of Engineering - Meng, Mechanical Engineering, First Class Honours

Imperial College London

Achievements: - Achieved First Class Honors - Achieved Dean's List in 2019-2020 - Recipient of Manjimup Scholarship in 2020 Modules.

International Baccalaureate, Hl Math/ Physics/ English B; Sl Business/ Chemistry/ Chinese Literature, 44/45

Acs International

Activities and Societies: Deputy Head of 13th Prefectorial Board President of 7th Board of Ambassadors Chinese Representative.

FAQ

Frequently asked questions about Kangan Chen

Quick answers generated from the profile data available on this page.

What company does Kangan Chen work for?

Kangan Chen works for Jefferies.

What is Kangan Chen's role at Jefferies?

Kangan Chen is listed as Equities Systematic Trading Developer @ Jefferies | MSc Data Science & Machine Learning @ UCL | MEng Mechanical Engineering @ Imperial College London | at Jefferies.

Where is Kangan Chen based?

Kangan Chen is based in London, England, United Kingdom while working with Jefferies.

What companies has Kangan Chen worked for?

Kangan Chen has worked for Jefferies, Post Urban, Deutsche Bank, and Zf Group.

Who are Kangan Chen's colleagues at Jefferies?

Kangan Chen's colleagues at Jefferies include Kaijie Tan, Usha Rani, Josette Egan, James Birchall, and John Melnick.

How can I contact Kangan Chen?

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What schools did Kangan Chen attend?

Kangan Chen holds Master'S Degree, Data Science And Machine Learning from Ucl.

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