Find Hidden Software Engineering / Quant Trading / AI Opportunities Worldwide

I am a Computer Science Engineer with experience in:
(I just have 1 year freelance experience, will graduate in 2027).

• Algorithmic Trading
• Python
• C/C++
• Java
• C#
• Full Stack Development
• APIs & Backend Systems
• AI / Machine Learning
• Generative AI
• Solana
• Rust
• Anchor Framework
• Web3 / dApps
• Trading Infrastructure & Automation

I am looking for a highly resourceful researcher, recruiter, lead-generation specialist, or sourcing expert who can help uncover unconventional software engineering, quantitative trading, AI, blockchain, and startup opportunities worldwide.

I am NOT looking for someone who simply applies to publicly listed LinkedIn jobs.

My goal is to identify hidden opportunities, decision-makers, founders, CTOs, hiring managers, engineering leaders, quant researchers, traders, and startup operators that can be approached directly.

Target Regions

• United States
• Canada
• Europe
• United Kingdom
• Netherlands (Amsterdam)
• Austria
• Spain
• Singapore
• Dubai / UAE
• India
• Other major technology and financial hubs

Types of Companies

• Proprietary Trading Firms
• Quantitative Trading Firms
• Hedge Funds
• Market Makers
• Crypto Trading Firms
• Crypto Market Makers
• AI Startups
• SaaS Startups
• Web3 Companies
• Infrastructure Startups
• FinTech Companies
• High-Growth Venture-Backed Startups
• Engineering-Led Startups

Research Methods (Examples)

You are expected to go beyond traditional job boards and use creative sourcing methods.

LinkedIn Research

Search for:

• Founder Trading Firm Singapore
• Founder Quantitative Trading Firm
• Founder AI Startup
• Founder Web3 Startup
• Founder Market Making Firm
• Founder Proprietary Trading Firm
• Quant Researcher Singapore
• Algorithmic Trader Singapore
• Quant Developer Dubai
• Software Engineer Trading Firm
• Head of Trading
• CTO AI Startup
• CTO FinTech Startup
• VP Engineering Startup

Identify:

• Founders
• CTOs
• Engineering Managers
• Hiring Managers
• Quant Researchers
• Traders
• Team Leads

GitHub Research

Search:

• Market Making Repositories
• HFT Infrastructure Projects
• Trading Engines
• Matching Engines
• Exchange Connectors
• Arbitrage Bots
• Solana Projects
• Rust Projects
• Quantitative Finance Repositories
• Open Source Trading Systems

Find:

• Maintainers
• Contributors
• Startup Founders
• Engineering Teams

Startup Databases

Search:

• Y Combinator Directory
• Sequoia Portfolio Companies
• Andreessen Horowitz (a16z) Portfolio Companies
• Accel Portfolio Companies
• Lightspeed Portfolio Companies
• Peak XV Portfolio Companies
• Entrepreneur First Portfolio Companies

Trading & Finance Sources

Search:

• Singapore MAS Licensed Fund Managers
• Proprietary Trading Firms
• Quantitative Trading Firms
• Market Makers
• Crypto Trading Firms
• Liquidity Providers
• DMA Brokers
• Alternative Asset Managers

Dubai / UAE Sources

Search:

• Dubai DMCC Company Registry
• DMCC Crypto Companies
• Dubai FinTech Companies
• ADGM Companies
• DIFC Companies
• Proprietary Trading Firms in UAE

Community Research

Search:

• Reddit Communities
• Quant Finance Communities
• Discord Communities
• Telegram Groups
• AI Communities
• Solana Communities
• Hacker News
• Indie Hackers
• Product Hunt

Job Boards

Search:

• LinkedIn
• Wellfound (AngelList)
• Naukri
• Indeed
• Glassdoor
• RemoteOK
• Y Combinator Jobs
• Startup Jobs Platforms

Bonus Sources & Advanced Research Techniques

I strongly encourage unconventional sourcing techniques including:

• Crunchbase
• Tracxn
• PitchBook (if available)
• YC Founder Directories
• AngelList / Wellfound
• GitHub Organization Maintainers
• Hacker News "Who's Hiring"
• Reddit Startup Communities
• Twitter/X Founder Networks
• Telegram Communities
• Discord Communities
• Product Hunt Launches
• Conference Speaker Lists
• Startup Accelerator Cohorts
• Open-Source Contributor Networks
• University Spin-Off Companies
• Recently Funded Startups
• AI Research Labs
• Quant Finance Communities
• Solana Ecosystem Companies
• VC Portfolio Companies

Preference should be given to organizations where direct outreach to decision-makers is possible.

The ideal outcome is not simply finding public job postings, but uncovering opportunities before they become widely visible.

Examples of the type of opportunities I am interested in:

• A 12-person AI startup in Amsterdam that recently raised funding and may need engineers.
• A quantitative trading fund in Singapore with no public internship page.
• A crypto market maker in Dubai actively expanding its engineering team.
• A founder building trading infrastructure or market-making technology.
• A Solana startup that recently raised capital and is scaling its engineering team.
• A VC-backed startup where the CTO or founder can be contacted directly.
• A proprietary trading firm that hires through referrals rather than public job postings.
• An engineering-led startup with technical hiring needs but no formal recruiting process.
• Companies whose founders are actively posting about hiring on LinkedIn, Twitter/X, Discord, Telegram, Reddit, GitHub, or industry communities.

Researchers are encouraged to think like talent scouts, recruiters, investigators, or business-development professionals rather than relying solely on traditional job boards.

The objective is to identify opportunities that are difficult for the average applicant to discover and where direct outreach creates a competitive advantage.

Deliverables

1. Lead Database

Maintain a Google Sheet or Excel Spreadsheet containing:

• Company Name
• Country
• Website
• Industry
• Hiring Signal
• Founder / CTO / Hiring Manager
• Email Address
• LinkedIn Profile
• Source of Discovery
• Why This Opportunity Fits My Background
• Date Contacted
• Status

2. Personalized Outreach

For every qualified lead:

Provide a personalized:

• Cold Email Draft
OR
• LinkedIn Message Draft

The message must demonstrate research about the company and should not be a generic template.

3. Weekly Reports

Provide weekly updates including:

• New Leads Added
• Contacts Found
• Outreach Prepared
• Replies Received
• Recommended Follow-Ups
• Highest Potential Opportunities

Success Criteria

I am interested to get opportunity in trading firm.

Every opportunity should have a clear connection to my background in software engineering, algorithmic trading, AI, machine learning, Web3, Solana, Rust, backend systems, APIs, distributed systems, trading infrastructure, or quantitative systems.

Contact information should be current and verifiable.

Outreach drafts should be personalized and demonstrate understanding of the target company.

Priority should be given to hidden or unconventional opportunities that are not easily discoverable through standard job applications.

Compensation

Compensation structure is open for discussion.

Preference is for:

• Fixed fee for research and sourcing work
• Larger success bonus for a paid internship or full-time role obtained through your sourced leads

When applying, please explain your sourcing process and provide examples of how you have previously discovered opportunities beyond traditional job boards.