Lead Researcher, Crypto (UK)

Bjak
London
1 year ago
Applications closed

Related Jobs

View all jobs

Principal Data Scientist and Machine Learning Researcher

Data science programme lead

Recruitment Team Manager – Artificial Intelligence (UK Market Focus) Manchester (Hybrid)

Recruitment Team Manager – Artificial Intelligence (US Market Focus) Manchester (Hybrid)

Experienced Recruitment Consultant – Artificial Intelligence

Senior Machine Learning Research Engineer

About Bjak

Bjak is focused on providing access to affordable and sustainable financial services for people in ASEAN. Headquartered in Malaysia, Bjak is the largest insurance portal in Southeast Asia. Our main portal, Bjak.com, helps millions find the insurance policy with the best value and highest coverage for them. Our investments in technology such as Custom API, blockchain, trading systems, and data science enable easy access to financial services that were previously inaccessible or difficult to understand. Our core strengths lie in navigating the most complex regulations and environments, creating some of the most innovative products in the world. For instance, we are the first platform globally to simplify and offer investment-linked life and health insurance online, coupled with an instant talk-to-agent service.

Job Overview

As a Lead Researcher at Bjak, you will play a critical role in advancing our understanding of the rapidly evolving cryptocurrency landscape by leading in-depth research and analysis on blockchain technology, digital assets, decentralized finance (DeFi), and other emerging trends within the crypto space. Your insights will significantly influence strategic decisions, product development, and market positioning. You will work closely with cross-functional teams, including product managers, engineers, and business leaders, ensuring that our offerings remain aligned with the latest industry developments. The ideal candidate is a passionate expert in blockchain technology, possesses strong leadership and analytical skills, and is dedicated to staying at the forefront of industry trends.

Key Responsibilities

  • Conduct comprehensive research and analysis on blockchain technologies, trends, and their impact on the financial services sector.
  • Develop and publish in-depth research reports that provide unique insights and actionable recommendations.
  • Formulate original theses on blockchain trends and technologies, using these as the foundation for your research.
  • Stay abreast of key developments in the blockchain space, with the ability to produce timely reports as needed.
  • Engage with industry stakeholders, including investors, developers, and other professionals, to gather insights and validate research findings.
  • Collaborate with the broader research team to ensure alignment and coherence in research outputs.
  • Represent the company at industry events and on social media platforms, enhancing the company's visibility and reputation in the blockchain community.

Requirements

  • Solid experience in blockchain research
  • Proven track record of producing high-quality research reports and analysis.
  • Strong understanding of blockchain protocols, smart contracts, and distributed ledger technologies.
  • Excellent communication skills, with the ability to articulate complex concepts clearly and concisely.
  • Ability to synthesize a wide range of data and insights into a coherent framework that facilitates in-depth understanding of blockchain technologies.
  • Resourceful, curious, and able to think critically and independently.
  • Strong data analysis skills and familiarity with blockchain metrics and data sources.

Preferred Qualifications

  • Knowledge of SQL and Python for data extraction and analysis.
  • Experience in conducting valuations and financial analysis within the blockchain space.
  • Familiarity with the landscape for blockchain and cryptocurrencies worldwide

Benefits

  • Work remotely 
  • Work in a fast-growing startup that promotes flexible and open culture
  • Fast moving, challenging and unique business problems
  • Attractive remuneration and performance incentives
  • Strong learning and development plans for your career growth
  • Great career development opportunities in a fast growing company
  • International work environment and flat organization

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.