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Binary Exploitation Jobs in Kentucky (NOW HIRING)

$175 - $200/hr

... in binary event contracts. You will manage a live portfolio, targeting consistent positive expectancy through market making, microstructure exploitation, cross-platform arbitrage, event-driven ...

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Binary Exploitation information

What is binary exploitation?

Binary exploitation is a field within cybersecurity focused on finding and leveraging vulnerabilities in compiled software binaries to alter their intended behavior. This often involves analyzing how programs manage memory, handle user input, or interact with the operating system to identify flaws such as buffer overflows or use-after-free errors. Attackers use these techniques to gain unauthorized access, execute arbitrary code, or escalate privileges. Professionals in this field use a combination of reverse engineering, programming, and security analysis skills.

What are the key skills and qualifications needed to thrive as a binary exploitation specialist, and why are they important?

To thrive as a Binary Exploitation Specialist, you need deep knowledge of operating systems, computer architecture, low-level programming (such as C and Assembly), and experience with reverse engineering, often supported by a degree in computer science or cybersecurity. Familiarity with tools like GDB, IDA Pro, Radare2, and certifications such as OSCP or GREM is highly valuable. Analytical thinking, persistence, and attention to detail are crucial soft skills for identifying vulnerabilities and devising novel exploits. These skills are vital for effectively discovering security flaws, developing mitigations, and protecting systems from real-world attacks.

What are some common challenges faced by professionals working in binary exploitation roles?

Professionals in binary exploitation often encounter challenges such as reverse engineering complex binaries, bypassing modern security mechanisms like ASLR and DEP, and staying updated with evolving exploit mitigation techniques. The work can involve significant problem-solving and persistence, as each target binary may require unique approaches. Additionally, collaboration with security researchers and developers is common, especially when disclosing vulnerabilities or working to patch exploited systems.

What is the difference between Binary Exploitation vs Reverse Engineer?

AspectBinary ExploitationReverse Engineer
Required CredentialsKnowledge of vulnerabilities, exploit development, programming (C, Assembly)Understanding of software architecture, assembly, debugging skills
Work EnvironmentSecurity labs, penetration testing, CTF competitionsSoftware analysis, malware analysis, debugging environments
Industry UsageCybersecurity, penetration testing, bug bounty programsMalware analysis, software development, security research

Binary Exploitation and Reverse Engineering share overlapping skills like programming and understanding of low-level systems. However, Binary Exploitation focuses on identifying and exploiting vulnerabilities to gain control over systems, while Reverse Engineering involves analyzing software to understand its inner workings without necessarily exploiting it. Both roles are vital in cybersecurity but serve different purposes within security assessments and research.

What are popular job titles related to Binary Exploitation jobs in Kentucky?

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What job categories do people searching Binary Exploitation jobs in Kentucky look for?

The top searched job categories for Binary Exploitation jobs in Kentucky are:

What cities in Kentucky are hiring for Binary Exploitation jobs?

Cities in Kentucky with the most Binary Exploitation job openings:

Infographic showing various Binary Exploitation job openings in Kentucky as of August 2026, with employment types broken down into 100% Full Time. Highlights an 91% In-person, and 9% Remote job distribution.

$175 - $200/hr

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Posted 3 days ago

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Job description

DRW is a major Chicago-based proprietary trading firm founded in 1992 by Don Wilson, specializing in diversified, technology-driven market-making and quantitative trading across asset classes including fixed income, options, derivatives, commodities, energy, equities, FX, and cryptocurrency.

DRW is building out a dedicated prediction markets desk focused on platforms such as Polymarket and Kalshi. As a Prediction Markets Trader, you will develop, execute, and optimize high-conviction trading strategies in binary event contracts. You will manage a live portfolio, targeting consistent positive expectancy through market making, microstructure exploitation, cross-platform arbitrage, event-driven momentum, and statistical models. This role requires genuine, demonstrated passion for prediction markets, strong quantitative reasoning, and the ability to operate in thin, volatile, event-resolution-driven environments.

Core Responsibilities:
  • Monitor and trade active markets in real time across Polymarket (CLOB/Gamma/Subgraph APIs) and Kalshi (FIX/WebSocket/REST).
  • Execute strategies including: market making with dynamic skew, microstructure arbitrage (order-flow and book-imbalance sniping), cross-platform arb, news/event momentum (sub-second reaction), and statistical pairs/mean-reversion.
  • Develop and backtest models using historical tick data, Bayesian probability updates, NLP sentiment parsing, and ML for fair-value estimation.
  • Collaborate with engineering on low-latency infrastructure (API integrations, order engines, anomaly detection).
Required Qualifications:
  • Bachelor's or higher in Quantitative Finance, Statistics, Computer Science, Economics, Mathematics, or equivalent.
  • Solid foundation in probability, statistics, time-series analysis, and Bayesian methods.
  • Hands‑on experience with prediction market platforms (Polymarket and/or Kalshi APIs) or closely related domains (options, binary events, sports/event betting).
  • Genuine, demonstrated interest in prediction markets — we expect you to be actively engaged with the space (personal trading, deep reading of protocols, following major resolutions, contributing to discussions, etc.). This is non‑negotiable.
Highly Valued (but not strictly required):
  • Prior profitable trading experience in prediction markets, options, or event‑driven strategies (personal or professional).
  • Familiarity with blockchain/DeFi tools (ethers.js, Polygon RPC, USDC wallets).
  • Experience with low‑latency systems, FIX protocol, or Web3 integrations.
  • Track record of building and backtesting quantitative models with real historical data.
  • Deep domain knowledge of high-impact events (politics, macroeconomics, climate, sports).
Who We’re Looking For:

We are especially interested in exceptionally sharp, self‑motivated individuals — including strong campus hires and new graduates — who are obsessed with prediction markets and can demonstrate clear, substantive engagement with the space. If you’ve been actively trading Polymarket/Kalshi, analyzing resolutions, building personal models, or following the ecosystem closely, we want to talk to you.

Applications reviewed on a rolling basis. Strong candidates will receive a technical screen, strategy discussion, and live coding/modeling exercise focused on real prediction market scenarios.

Location:

Flexible. US-based preferred.

The annual base salary range for this position is $175,000 to $200,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus.

  • Group medical, pharmacy, dental and vision insurance
  • 401k (with discretionary employer match)
  • Short and long‑term disability
  • Life and AD&D insurance
  • Health savings accounts
  • Flexible spending accounts

For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice .

This description was published by DRW. Applications are handled on their careers site: we are not the employer and cannot process them.

DRW is a team of innovative and ambitious individuals who use the power of free markets to solve challenging problems, capture opportunities, and pursue positive change. In 1992, the founder…

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