Citadel Securities

Global market maker delivering liquidity

Machine Learning Researcher PhD Graduate

AI ResearchConfirmed live in the last 24 hours

Full-timeNo salary listed

About the Job

Requirements

A PhD degree in mathematics, statistics, physics, computer science, or another highly quantitative field is required.
Advanced training and a strong research track record in statistics, machine learning, artificial intelligence, or another highly quantitative field are required.
Prior experience working in a data-driven research environment is required, along with attention to detail and the ability to examine data in depth.
Hands-on programming experience in scripting languages such as Python and/or compiled languages such as C++ is required.
A background demonstrating strong problem-solving skills is required.
The ability to communicate advanced concepts concisely and logically is required.
Proficiency in creating and using algorithms to investigate large data or error-checking problems is required.

Responsibilities

Use statistics, machine learning, or artificial intelligence, such as deep learning and natural language processing, to extract patterns from datasets through rigorous research.
Implement algorithms in high-quality code.
Work with large datasets, including unconventional and unstructured data sources.
Back-test models and document research findings.

Job Description

At Citadel Securities, a leading global market maker, our team of quantitative researchers models the markets and brings trading strategies to life every day. Specifically, the goal of this team is to leverage and tailor the state-of-the-art machine learning and AI algorithms to modernize the quantitative trading industry. We’re looking for extraordinary and highly motivated researchers who are excited about solving challenging problems and iterating in a fast-paced environment.

Your Objectives

Use statistics, machine learning or AI (e.g. deep learning, NLP) to extract patterns from various kinds of datasets through innovative and rigorous research
Implement algorithms in high-quality code
Work with large data sets, including unconventional and unstructured data sources
Back-test models and document research findings

Your Skills & Talents

PhD degree in mathematics, statistics, physics, computer science, or another highly quantitative field
Advanced training and strong research track record in statistics, machine learning, AI, or another highly quantitative field
Prior experience working in a data driven research environment. Detail oriented and can deep dive into the data.
Hands on programming experience in scripting (e.g. Python) and/or compiled languages (e.g. C++)
A background demonstrating strong problem-solving skills
An ability to communicate advanced concepts in a concise and logical way
Proficiency in creating and using algorithms to meticulously investigate and work through large data or error-checking problems

Opportunities available in Singapore and Hong Kong.

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About Citadel Securities

Citadel Securities is a technology-driven, next-generation global market maker. We provide institutional and retail investors with world-class liquidity, competitive pricing and seamless front-to-back execution in a broad array of financial products. Our teams of engineers, traders and researchers harness leading-edge quantitative research and the accelerating power of compute, machine learning and AI to power our analytics and tackle the market’s and our clients’ most critical challenges. Together, we are forging the future of capital markets. For more information, visit citadelsecurities.com.

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About the Company

Citadel Securities

Global market maker delivering liquidity

Citadel Securities is a global market maker that provides liquidity and trading services to institutional clients in equities, options, and FICC markets. It uses advanced technology and data analytics to place and manage bid-ask quotes, execute trades, and optimize order routing, earning a small margin on each trade and charging fees for services. Its products and services help clients meet liquidity needs with low-cost, efficient execution. The company distinguishes itself by aiming for the fairest, most transparent, and open markets, continually reinvesting in technology and expertise to improve market efficiency and transparency. The goal is to bridge the financial markets with the real economy by creating reliable liquidity and transparent trading environments.

Company size: 1,001-5,000
Company stage: Growth Equity (Venture Capital)
Total funding: $1.2B
Headquarters: Miami, FL
Founded: 2002

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