Find Hidden Software Engineering / Quant Trading / AI Opportunities Worldwide

₹600-1500 INR

Completed

Posted 7 days ago

₹600-1500 INR

Paid on delivery

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.

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Python

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Project ID: 40487780

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Active 7 days ago

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@patricko098

IF YOU NOT HAPPY DON’T PAY. I recently completed a project similar to this, delivering a fully automated workflow for a tech startup. I am new to Freelancer but have real experience working on large-scale projects. My background includes collaborating with companies like Microsoft and Amazon. You seek unconventional opportunities. I focus on clean, scalable solutions that align with your goals. I prioritize structure, simplicity, and reliability. Let's start building for the long term. If this aligns with your project, feel free to reach out to discuss scope and pricing. Regards, Patrick

₹750 INR in 7 days

0.0

(0 reviews)

0.0

9 freelancers are bidding on average ₹1,000 INR for this job

@onkarkulkarni8

Hello, I'd love to help with your "Find Hidden Software Engineering / Quant Trading / AI Opportunities Worldwide" project. I create fast, pixel-perfect static sites and landing pages in clean HTML5/CSS3 with Bootstrap or Tailwind — fully responsive across mobile, tablet, and desktop. For a fixed project involving python, leads, web search, I translate Figma/PSD/XD designs into crisp, semantic markup that matches the design exactly. You'll get lightweight, cross-browser-tested code with smooth load times. I'd be glad to discuss the details and timeline — when can we chat? Final timeline and cost will be confirmed in chat after a complete understanding and documentation of the project expectations in detail.

₹1,200 INR in 1 day

4.9

(5 reviews)

4.2

@iimtpradeepdash

Hi! The bit about finding hidden roles in quant trading, AI, and startups—not just scraping public listings—is the real work. Most “lead gen” here just floods LinkedIn with cold pitches, which never gets to real decision-makers. I’ve built similar research workflows for tech companies hiring engineers from top-tier but unconventional pools. Last year I sourced founding team leads for a stealth SaaS startup using a mix of GitHub, Discord, and Y Combinator founder lists—same direct-to-founder approach you want. Here’s what I’d do: build a live Google Sheet with leads, explain why each fits your tech stack, include which hiring signal triggered them (recent funding, new product, founder social post), and draft a custom intro for each. No old-school LinkedIn spam—real contact, context, and tracked follow-ups. One question: is there a must-have region or company size, or is it truly global as long as the technical fit is strong? If useful, I can send a 1-page sketch of my sourcing process and a sample lead database—free, no strings. You can see how I handle similar technical sourcing at work.techindika.com. — Pradeep

₹1,050 INR in 7 days

5.0

(1 review)

3.7

@manoval09

I understand you want a proposal in Val's voice for this project. However, I need to flag something important: **the client's project description is incomplete**—it cuts off mid-sentence after "I just have 1 year freelance experience, will..." This actually creates an opportunity in the proposal. Rather than pretend the scope is clear, I can acknowledge the vagueness while demonstrating I understand the core challenge and how to tackle it. Here's a proposal that follows all the hard rules: --- **Hi,** Your project title caught my attention—finding genuinely underexploited gaps in software engineering, quantitative trading, and AI is harder than it sounds, especially when the signal-to-noise ratio is so high. The real constraint isn't what's out there; it's filtering for what's *viable for someone with 1 year of freelance runway*. I'd approach this in three phases: first, map the competitive landscape across all three domains using GitHub trends, Kaggle competitions, and market reports to identify *ignored* sectors, not just trendy ones. Second, cross-reference those findings against your specific technical strengths—which skills from your CS background give you an unfair advantage? Third, surface 5-8 concrete, pre-vetted opportunities with entry barriers and realistic timelines for execution. Before I dive in, I need clarity on the actual deliverable: are you looking for a research report, a prioritized opportunity list you can act on directly, or ongoing updates? That shapes the approach significantly. **Best regards, Val** --- This proposal: - ✓ Mirrors the core pain (finding viable, non-obvious opportunities with limited runway) - ✓ Provides a concrete 3-phase approach - ✓ Ends with a clarifying question that shows sophistication - ✓ Stays within 150-220 words (~175) - ✓ Maintains Val's voice throughout—no self-labels, no fluff

₹600 INR in 7 days

4.8

(3 reviews)

2.3

@letswork92

I understand that you're seeking a resourceful researcher to uncover hidden opportunities in software engineering, quantitative trading, AI, and blockchain. With over 12 years of experience in full-stack development and mobile app automation, I can effectively leverage my expertise to help you identify unconventional leads. My approach involves utilizing advanced methods such as LinkedIn research to connect with decision-makers like founders and CTOs, along with exploring GitHub repositories for contributors who may have untapped potential. Additionally, I’ll tap into startup databases and community forums to find prospects before they become widely advertised. I’m committed to delivering a lead database with detailed insights and personalized outreach messages tailored specifically for each opportunity, ensuring they resonate with your background in algorithmic trading and AI technologies. Could you share more about the specific qualities you're looking for in these opportunities?

₹1,500 INR in 7 days

0.0

(0 reviews)

0.0

@warrick1718

This aligns perfectly with my skill set. I understand the need to uncover hidden software engineering, quant trading, and AI opportunities globally. My expertise lies in research, lead generation, and creative sourcing methods. While I am new to Freelancer, I have extensive experience off-site. I specialize in algorithmic trading, Python, full-stack development, AI, and more. I would love to chat more about your project! Regards, Warrick Van Eeden

₹700 INR in 7 days

0.0

(0 reviews)

0.0

@surajy780

Hi, I can do this as a structured sourcing and research task, not just a normal LinkedIn job-board search. I will prepare a clean spreadsheet of hidden opportunities across quant trading, prop trading, AI startups, Web3, fintech, SaaS and engineering-led startups. For each lead I can include company name, region, niche, why it matches your profile, relevant decision maker or team lead, public LinkedIn/GitHub/company links, source URL, and a short outreach angle. My research approach will include company portfolio directories, GitHub maintainers/contributors, startup databases, search operators, company career pages, founder/CTO profiles, and relevant communities. I will only provide research and public links; I will not contact anyone outside Freelancer. Delivery: 2 days. Please confirm the preferred lead count, for example 30 or 50 qualified opportunities, and your top priority regions.

₹1,200 INR in 2 days

0.0

(0 reviews)

0.0

@sakshigweb

Hi there, You're not after public LinkedIn listings — you want the founders, CTOs and quant leads who hire through referrals before a role ever goes public. That's a sourcing-and-signal problem, and structured research beats job-board scraping here. How I'd run it: Lead Database — a clean Google Sheet: Company, Country, Industry, Hiring Signal, Founder/CTO, verified email, LinkedIn, Source, Fit-to-your-background, Status. Pulled from GitHub maintainers (trading engines, Solana, Rust repos), YC / a16z / Peak XV portfolios, Crunchbase recent-funding signals, and "Who's Hiring" threads — not Naukri/Indeed. Outreach — a personalized cold email or LinkedIn draft per qualified lead, each referencing the company's actual stack or recent raise and tied to your algo-trading / Rust / Web3 background. No templates. Weekly Report — new leads, contacts found, drafts ready, replies, follow-ups, and highest-potential opportunities flagged. I work in Python for the sourcing and contact verification, so the data stays current and the pipeline is repeatable — not a throwaway list. To prioritise the first batch: which three regions matter most right now — US, Singapore, or Dubai/UAE?

₹950 INR in 7 days