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  "job_title": "Liquidity Analyst",
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  "employer_name": "Finalto",
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  "job_posted_at": "11 days ago",
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  "job_description": "The ideal candidate is a result oriented, self-motivated, ambitious individual who aspires to maximise revenue for the company. A person who has excellent interpersonal and analytical skills, a passion for markets, microstructure and data, and who embraces a fast paced working environment.\n\nKey Responsibilities include (but are not limited to):\n• Assisting the group and regional heads of liquidity in maintaining and enhancing liquidity provision across the Finalto group.\n• Working within the team, and independently where necessary, to enhance existing analytics capabilities utilising Python, KDB & SQL, as well as utilising (and improving) proprietary internal tooling.\n• Building and maintaining frameworks to model and back-test changes to our liquidity landscape.\n• Building and maintaining models for client categorisation and flow anomaly detection.\n• Continuous monitoring of client flow metrics to ensure that pricing models are optimally calibrated against both flow risk profile and client expectations. Adhering to applicable internal and regulatory requirements.\n• Providing both scheduled and ad-hoc reporting to our clients and liquidity partners, as well as to internal stakeholders.\n• Monitoring and analysing performance of Finalto’s systematic liquidity provision from both a pricing quality and a risk perspective. Expressing ideas to enhance this offering, working in conjunction with our quant trading team.\n• Ensuring Finalto’s liquidity management and governance retains a consistently excellent reputation across our full spectrum of trading partners, as well as with the wider wholesale and retail trading industry as a whole.\n\nExperience & Skills:\n• First degree holder in any numerate discipline is a minimum pre-requisite. Strong in Mathematics and Statistics. A higher qualification and ability to evidence more in-depth work in statistical modelling would be a plus\n• Experience in the design and implementation of statistical / machine learning models to solve real world problems with large, time series datasets.\n• Experience in fast prototyping of production grade dashboarding using frameworks such as Streamlit / Shiny etc.\n• Experience working with GIT, JIRA and other tooling that adds technical rigour.\n• Use of recognised analytic tools for extracting data and solving problems with large volume intraday time series datasets. Python / KDB / SQL are the key tools used across the team, but we will consider alternative experience (R / MatLab / OneTick / TimescaleDB etc).\n• Some experience in wholesale liquidity provision / algorithmic trading at intraday frequency would be a plus.\n• Fluent in English, with strong verbal and written communication skills\n• Above all a curious mind, a passion for high volume financial markets liquidity provision and an open, collegiate team attitude are absolute pre-requisites for the incoming person.\n\nThis is a newly created role in an expanding team that sits very much at the heart of Finalto’s globally renowned liquidity franchise. As such the successful candidate can expect a fast paced and at times high pressure environment, but that which will offer almost unrivalled career trajectory in a sophisticated, data driven business with a refreshingly flat structure and friendly, experienced but accessible leadership team.",
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  "job_employment_type": "Full–time",
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  "job_posted_at_timestamp": 1773100800,
  "job_posted_at_datetime_utc": "2026-03-10T00:00:00.000Z"
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