Cybernetic Controls Limited Logo

Cybernetic Controls Limited

SRB28 Regulatory Paralegal Content Analyst

Reposted 5 Hours Ago
Be an Early Applicant
In-Office or Remote
Hiring Remotely in Georgia, USA
Entry level
In-Office or Remote
Hiring Remotely in Georgia, USA
Entry level
Reviews financial services regulations and exchange rulebooks, assesses regulatory changes, and maintains auditable review records. Validates machine-learning topic classifications, provides labelled feedback, and helps maintain regulatory taxonomies. Compares platform rulebooks with authoritative sources to identify structural errors, missing provisions, duplication, and versioning issues. Performs quality assurance against development requirements and collaborates with product, engineering, and software teams to process new regulations and improve the service.
The summary above was generated by AI
Overview
At Cybernetic Controls Limited (CCL), we are committed to global leadership in providing innovative digital solutions that empower businesses to reach their full potential. As a remote-first company, we believe in empowering our employees to work in a way that best suits their individual needs, fostering a culture of flexibility and trust. Since our founding in 2020, we have successfully delivered high-quality resources to our clients in the FinTech sector across various business areas. Read more on the Cybernetic Controls website.
Job Summary:
This is a structured entry-level role for a law graduate or newly qualified paralegal who wants to build deep expertise in financial services regulation while working at the frontier of regulatory technology. You'll be onboarded and mentored on the regulatory content — we don't expect you to arrive knowing MiFID II. We do expect you to be rigorous, curious, and committed to getting things exactly right.
You'll sit at the point where legal source material meets our data pipeline and machine learning models — reviewing regulatory change, validating how our models classify and structure that content, and making sure what appears in our platform matches the authoritative source line for line. You don't need to be a data scientist, but you'll become the human judgment that keeps the machine honest.

Key Responsibilities
Review regulatory change
  • Monitor and review changes to in-scope regulations and exchange rulebooks (e.g. EU and UK financial services regulation, exchange and CCP rulebooks).
  • Assess what has changed, when it takes effect, and how material it is, and make sure those changes are captured accurately in the platform.
  • Maintain a clear, auditable record of your review decisions.
Validate the ML topic modelling
  • Review the output of our machine learning topic models to confirm regulatory content is being classified to the correct topics.
  • Flag misclassifications and edge cases, and provide structured, labelled feedback that feeds back into model improvement.
  • Help keep our topic taxonomy and data definitions consistent and fit for purpose as regulation evolves.
Check rulebook structural integrity
  • Compare integrated and consolidated rulebooks in our platform against the original regulatory source to confirm the structure matches — article and section hierarchy, ordering, versioning, and effective dates.
  • Identify and escalate gaps, missing provisions, duplication, or extraction errors.
  • Work with the product and engineering teams to get issues resolved and to tighten the controls that prevent them recurring.
Build the service
  • React to client demand for additional data to help us build the service quickly
  • Review and provide quality assurance against written development requirements
  • Work with Software Engineering to process new regulation from capture through to the product

Skills, Knowledge and Expertise
  • A law degree, paralegal qualification, or equivalent legal training.
  • Any exposure to financial services regulation, RegTech, or a legal/compliance environment through study, internship, or work experience.
  • Genuinely strong attention to detail. You notice when something is one clause out of place.
  • The discipline to follow structured review and QA processes consistently and keep clear records of your decisions.
  • Clear written communication — your review notes and feedback need to be usable by both lawyers and engineers.
Nice to have
  • An interest in financial services regulation. You don't need to have worked in it, but you should be genuinely curious about how it works and willing to develop real depth in it.
  • Curiosity about how AI and machine learning tools work, even without technical experience. We'll teach you the rest.
  • Exposure to regulatory data sources such as EUR-Lex / CELEX, FCA Handbook, exchange circulars, or rulebook publication feeds.
  • Experience with tools like Jira and Confluence.

Benefits
  • 25 days' paid holiday plus UK bank holidays
  • Healthcare contribution
  • Annual pay review
  • Anything in your role you would like to expand on and build professional skills, you are welcome to let us know and we can help you, put you on courses etc.
  • Monthly Socials (fun games with gift vouchers)
  • Company Laptop

About
Founded in 2020 and based in the UK, at Cybernetic Controls Limited (CCL), we are committed to global leadership in providing innovative digital solutions that empower businesses to reach their full potential. As a remote-first company, we believe in empowering our employees to work in a way that best suits their individual needs, fostering a culture of flexibility and trust. Since our founding in 2020, we have successfully delivered high-quality resources to our clients in the FinTech sector across various business areas. Read more on the Cybernetic Controls website.

Similar Jobs

5 Days Ago
Remote
2 Locations
Senior level
Senior level
Artificial Intelligence • Consumer Web • Digital Media • Information Technology • Social Impact • Software
Lead the AI Quality engineering team while remaining hands-on building evaluation infrastructure, observability tooling, diagnostic systems, datasets, annotation workflows, and CI/CD pipelines for production AI agents. Run experiments across prompts, models, routing, caching, and agent harnesses to improve quality, latency, and cost. Partner with AI Core engineering and manage technical direction and team priorities.
Top Skills: Ai AgentsBraintrustCi/CdLangsmithLlmsPythonRuby On Rails
2 Hours Ago
Remote or Hybrid
2 Locations
Senior level
Senior level
Artificial Intelligence • Marketing Tech • Sales • Software
Own the cryptographic core: select and evolve MPC/TSS schemes, author protocol reviews, implement and review Rust/Go production crypto, lead audit responses, prepare incident fixes, publish and represent externally, and teach/mentor engineers while scaling the crypto function.
Top Skills: Bls ThresholdCggmp21Dkls23FrostGg18Gg20GoLattice-Based ThresholdMpcMulti-Party-EcdsaRaccoonRustSparkleTss
6 Hours Ago
In-Office or Remote
2 Locations
Senior level
Senior level
Artificial Intelligence • Marketing Tech • Sales • Software
Build and operate production custody systems: signing service, key management, chain integrations, and transaction pipelines. Own end-to-end subsystems, integrate new chains, collaborate with cryptography on threshold signing and key recovery, write post-mortems, and produce clear async design docs and PRs.
Top Skills: Account Abstraction)Aurora PostgresAWSBitcoin (UtxoCggmp21ClickhouseCloudhsmCmp)Eip-1559Ethereum (Eip-712FrostGg20Github ActionsGoKubernetesLedger VaultMoveMpcPostgresPsbt)RustRust (For Chain Integration)SolanaSolidityTemporalTerraformThreshold Signing (Gg18TssTypescriptYubihsm

What you need to know about the Chicago Tech Scene

With vibrant neighborhoods, great food and more affordable housing than either coast, Chicago might be the most liveable major tech hub. It is the birthplace of modern commodities and futures trading, a national hub for logistics and commerce, and home to the American Medical Association and the American Bar Association. This diverse blend of industry influences has helped Chicago emerge as a major player in verticals like fintech, biotechnology, legal tech, e-commerce and logistics technology. It’s also a major hiring center for tech companies on both coasts.

Key Facts About Chicago Tech

  • Number of Tech Workers: 245,800; 5.2% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: McDonald’s, John Deere, Boeing, Morningstar
  • Key Industries: Artificial intelligence, biotechnology, fintech, software, logistics technology
  • Funding Landscape: $2.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Pritzker Group Venture Capital, Arch Venture Partners, MATH Venture Partners, Jump Capital, Hyde Park Venture Partners
  • Research Centers and Universities: Northwestern University, University of Chicago, University of Illinois Urbana-Champaign, Illinois Institute of Technology, Argonne National Laboratory, Fermi National Accelerator Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account