| Job Position and Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|
Dvtrading📍 Remote | $90k - $100k | |||
Dvtrading📍 Remote | $100k - $200k | |||
| $84k - $150k | ||||
| $27k - $92k | ||||
ISO 9001 Certified | 400+ students | Learn more | by Metana | ||
Blockchain📍 Remote | $121k - $164k | |||
Dvtrading📍 Remote | $84k - $120k | |||
| $89k - $100k | ||||
Kronosresearch📍 Remote | $105k - $112k | |||
Kronosresearch📍 Remote | $105k - $180k | |||
| $64k - $100k | ||||
| $77k - $84k | ||||
| $32k - $87k | ||||
Gsrmarkets📍 Remote | $90k - $120k | |||
| $112k - $156k | ||||
| $64k - $125k |
About Us:Founded 20 years ago and headquartered in Chicago, the DV Group of financial services firms has grown to more than 600 people operating throughout North America, Europe and Asia. Since spinning out of a large brokerage firm in 2016, DV Trading has rapidly scaled as an independent proprietary trading firm utilizing its own capital, trading strategies, and risk management methodologies to provide liquidity to worldwide financial markets and hedging opportunities to commodity producers and users. Now, DV group affiliates include two broker dealers, a cryptocurrency market making firm, and a bourgeoning investment adviser. Overview: We are seeking a Quantitative Trader with 1–3 years of experience to help build and scale a systematic equities trading business. This role combines quantitative research, strategy development and live trading. The position offers meaningful ownership, direct impact on trading performance, and a path to increased risk-taking responsibility. Job Responsibilities:
Develop, implement, and optimize systematic equity trading strategies Conduct quantitative research using statistical and/or machine learning techniques Analyze large datasets to identify alpha signals and trading opportunities Collaborate with engineering to improve trading infrastructure and execution Monitor live strategies, manage risk, and adjust models in real time Evaluate performance and continuously refine strategies based on results Contribute to building a scalable equities trading platform and processÂ
Requirements:
1–3 years of experience in quantitative trading, research, or a related field Active SIE and Series 57 licenses required Strong programming skills (Python required; C++/Java a plus) Solid understanding of equity market structure and execution Experience with statistical modeling, time series analysis, or machine learning Strong analytical and problem-solving skills with high attention to detail Ability to operate effectively in a fast-paced, performance-driven environmentÂ
Benefits:
Discretionary bonus eligibility Medical, dental, and vision insurance HSA, FSA, and Dependent Care Options Employer Paid Group Term Life and AD&D insurance Voluntary LTD, Life & AD&D insurance Flexible Vacation policy Retirement plan with employer match Paid Parental Leave Wellness Programs
DV is not accepting unsolicited resumes from search firms. Only search firms with valid, written agreements with DV should submit resumes in response to DV’s posted positions. All resumes submitted by search firms to DV via e-mail, the Internet, personal delivery, facsimile, or any other method without a valid written agreement shall be deemed the sole property of DV, and no fee will be paid in the event the candidate is hired by DV. DV is proud to be an equal opportunity employer and committed to creating an inclusive environment for all employees.
What is a quantitative career?
A quantitative career is a profession that involves using mathematical, statistical, and computational techniques to solve problems and make decisions in a wide range of industries, including finance, engineering, healthcare, and technology
A quantitative career in Web3 involves using mathematical, statistical, and computational techniques to analyze and optimize decentralized finance (DeFi) protocols, blockchain networks, and other Web3 applications
Some examples of quantitative careers include:
- Quantitative Analyst: A professional who uses mathematical models and statistical analysis to identify and quantify risks and opportunities in financial markets.
- Data Scientist: A professional who analyzes complex data using statistical methods, machine learning, and other techniques to help organizations make data-driven decisions.
- Actuary: A professional who uses mathematical models and statistical analysis to assess risk and uncertainty in the insurance and finance industries.
- Quantitative Developer: A professional who develops and implements quantitative models and trading strategies for financial institutions and other organizations.
- Operations Research Analyst: A professional who uses mathematical and statistical techniques to optimize complex systems, such as supply chains, transportation networks, and manufacturing processes.