Data Operations AnalystExpired
We are the catalysts enabling crypto companies — trailblazers and disruptors which are pushing the boundaries of innovation — to scale and mature so that a full range of individuals, entities, and services may transact with crypto safely.
Team and Role
At Merkle Science, we are creating the infrastructure necessary to ensure the safe and healthy growth of the industry, supporting the transition as cryptocurrencies consolidate with the $22 trillion financial services market. Merkle Science envisions a world powered by crypto. We are the architects enabling crypto companies — trailblazers and disruptors who are pushing the boundaries of innovation — to scale and mature so that a full range of individuals, entities, and services may transact with crypto safely. We are located across the globe with offices in Singapore, London, Bangalore and New York (upcoming). Merkle Science was founded in early 2019. Today we boast of over 60 customers, and we are just getting started.
We are looking for analysts to help drive data collection/classification and identify anomalous behaviour on the various cryptocurrencies blockchains. He/She will be responsible for conducting research to find various cryptocurrencies addresses for different cryptocurrencies entities such as Ransomware, Darknet, Exchange, Scam, etc.
What does the Product do?
We boast of the best user experience amongst our peers and unmatched customizability. On a high level, we have two products. One is an investigation tool that helps the user track the flow of funds once a scam or a hack occurs. Intelligence wings and government bodies mostly use this product. The other product is a compliance tool that ensures that we can help crypto companies, financial institutions, regulators, and banks monitor the kind of funds flowing and stop the bad players from using crypto to do something wrong, such as transactions over darknet or fraud. We also provide intelligence services and reports. Did we mention that we are working on some super innovative and bold products that we cannot share details about here?
What will you do?
Stay up-to-date with cryptocurrency risks, and typologies and latest blockchain trends.
Actively participate in data collection efforts across various in-house, Open Source, OSINT, and third party sources to make sure our tagged datasets are of highest standard.
Analyze user behaviour on darknet marketplaces (such as Silk Road (defunct), AlphaBay (defunct)). This task will require one to simulate user behaviour by creating accounts on such marketplaces and downloading data available on these platforms.
Data collection and tagging by manually reviewing darknet services (hidden services) to explain what kind of sellers/users they attract (selling drugs, stolen identity credentials like ID documents, credit cards).
Experience with applying your analytical skills to work with large amounts of data paired with competency in MySQL/BigQuery, Advanced Excel and attention to detail.
Establish partnerships with 3rd party data vendors, research bodies, anti-cybercrime groups
Monitor forums such as bitcointalk, reddit, etherscan, etc. for cybercrime intelligence.
What are we looking for?
While we do not have a strict list of requirements for candidates interested in this role, some indicators that you would fit this role and our engineering culture are
Qualifications/Work Experience: Undergraduate degree from top-tier institute with 0-2 years of work experience.
Strong written and spoken communications skills. Ability to work flexibly and to exercise good judgement in a high-pressure environment.
Ability to work with limited supervision within a team with high-level of individual initiative.
Experience in crypto/blockchain is a plus.
What process do we follow? (<2 weeks)
Application: We will keep it simple. You can apply directly through our job portal. All we ask for is a Resume. Additional Portfolio links such as Github, Medium or a Personal website are welcome
Screening: We will screen your profile and get back with a decision within a week.
Interviews: We will have two rounds of interviews. Round one (30mins) will focus on getting to know each other better and identifying if this could work for both of us. Round two (60mins) is a technical round where we will review your prior experience and discuss how you would build frontend systems to solve a problem we will introduce on call.
Meet the Team: Culture-Fit is essential for both you and us. So we always go the extra mile, and you will meet two other colleagues on the team who you would be working with. Here, you could discuss questions on stack, culture and some other things you might be interested in if you had a consideration for a new role.
Offer Rollout: If all looks well, we will open a bottle of champagne.
Other information you may want to consider
We will be flexible for the rest of the pandemic and work remotely; however, we are not a remote-first company, and the work location would be Bangalore when things settle.
Our analytics tech stack includes Redash, BigQuery, Holistics, TigerGraph.
Well Being, Compensation and Benefits
We care about your well-being. Along with excellent health insurance, we offer flexible time off, numerous Learning & development initiatives where Merkle Science invests in employee development, and working hours that we have not heard a single complaint against. We respect your weekends too. We regularly host team-building sessions and encourage discussions around mental well-being as well.
On the compensation front, We admire the talent and believe in rewarding people for their inputs. Compensation is best in class, along with generous equity, and the whole process will be transparent from the very minute we speak to you.
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