About Clear Street:
Clear Street is modernising the brokerage ecosystem. Founded in 2018, Clear Street is a diversified financial services firm replacing the legacy infrastructure used across capital markets.
We started from scratch by building a completely cloud-native clearing and custody system designed for today’s complex, global market. Clear Street’s proprietary prime brokerage platform adds significant efficiency to the market, while focusing on minimising risk, redundancy, and cost for clients. Our goal is to create a single source-of-truth platform for every asset class, in every country, and in any currency.
By combining highly-skilled product and engineering talent with seasoned finance professionals, we are building the essentials to compete in today’s fast-paced markets.
The Team:
The Data Analytics team at Clear Street is a small team with a great deal of responsibility. We work closely with stakeholders to ensure that we meet all our financial and regulatory obligations in a timely fashion. Our goal is to make the lives of our stakeholders easier by leveraging innovative technology to create automated solutions for their workflows. As Clear Street grows into more product lines and geographical regions, every member of the team will have an opportunity to have an immense impact on the firm. Join our team and be part of a dynamic environment where you can make a significant contribution, collaborate with talented professionals, and work with cutting-edge technology to drive operational excellence.
The Role:
As an experienced Data Analyst, you will play an integral role in automating our Finance and Compliance regulatory processes. You'll build on your analytical skills to create solutions that process large amounts of data from our data warehouse to generate clean, correct reporting, including building out reconciliations.
You will partner with key stakeholders across the Compliance, Finance, Operations, and Treasury teams to understand regulatory/financial obligations and business requirements, and translate them into clean designs and scalable solutions. As a lead in the team, you will provide technical guidance, prioritizing work, perform hands-on design and development and code review, as well as evolve our technical standards and best practices.
Tech Stack:, SQL, Snowflake, Sigma, Python, Argo, Metaplane .
Required Qualifications:
- You have at least five (5) years of professional experience working with data in capital markets.
- You are highly proficient in Python, SQL, database design, and have experience working with data warehouses like Snowflake to generate complex solutions at scale.
- You have experience across various areas within capital markets including products like equities, fixed income, derivatives and futures.
- You have experience working in the post-trade automation space designing and architecting systems that deliver solutions to complex data problems.
- You have experience generating complex financial industry regulatory reports like EMIR, MFID, SFTR, CPR, K Factor etc...
- You are a self-starter with a sense of urgency and an eagerness to learn and explore new technologies as appropriate to solve business problems.
- You are a strong communicator who can interact in a clear and concise manner with non-technical business stakeholders, product managers as well engineers.
- You could troubleshoot and logically assess problems and determine solutions.
We Offer:
At Clear Street, we offer competitive compensation packages, company equity, pension, gender neutral parental leave, and full medical and dental insurance. Our belief has always been that we are better as a business when we are all together in person. As such, we are requiring employees to be in the office a minimum of three days per week.
Our top priority is our people. We’re continuously investing in a culture that promotes collaboration. We help each other through challenges and celebrate each other's successes. We believe that modern workplaces succeed by virtue of having high-performance workforces that are diverse — in ideas, in cultures, and in experiences. We put in the effort to make such a workplace a daily reality and are proud to be an equal opportunity employer.
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