Liquidity and e-Trading Analyst

FINALTO

Liquidity and e-Trading Analyst

London, UK

Reporting to: Head of Liquidity

Location: London, UK

POSITION SUMMARY

Finalto is looking to hire a Liquidity Analyst to be based in the London Office.

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.

Key Responsibilities include (but are not limited to):

Assisting the group and regional heads of liquidity in maintaining and enhancing liquidity provision across the Finalto group.
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.
Building and maintaining frameworks to model and back-test changes to our liquidity landscape.
Building and maintaining models for client categorisation and flow anomaly detection.
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.
Providing both scheduled and ad-hoc reporting to our clients and liquidity partners, as well as to internal stakeholders.
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.
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.

Experience & Skills:

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
Experience in the design and implementation of statistical / machine learning models to solve real world problems with large, time series datasets.
Experience in fast prototyping of production grade dashboarding using frameworks such as Streamlit / Shiny etc.
Experience working with GIT, JIRA and other tooling that adds technical rigour.
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).
Some experience in wholesale liquidity provision / algorithmic trading at intraday frequency would be a plus.
Fluent in English, with strong verbal and written communication skills
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.

This 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.

To apply please complete the form below:

Name*

Email*

Telephone*

Confirm your understanding that this is a TRADING liquidity role – NOT a treasury / ALM role*

When could you potentially start?*

Where will you be commuting from?*

Are you comfortable being office-based in Liverpool St, London, Monday to Wednesday 09:00-17:30?*

Have you got a comfortable setup to work remotely Thurs-Fri?*

Why do you want to join Finalto and how will you add value?*

Confirm what type of right to work in the UK you have*

Will you require sponsorship to work in the UK, now or in the future - and if so, when?*

Name a salary band you'd be comfortable with*

Why are you a good match based on the job description/what are your strengths? Please give examples*

What is/are your main gaps or mismatch between you and the job description?*

What degree do you hold?*

State your experience maintaining and enhancing liquidity provision*

Detail your experience in enhancing existing analytics capabilities utilising Python, KDB & SQL*

State your experience in the design and implementation of statistical / machine learning models to solve real world problems with large, time series datasets*

State your experience in fast prototyping of production grade dashboarding using frameworks such as Streamlit / Shiny etc.*

Experience working with GIT, JIRA and other tooling*

State your experience with the 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)*

State your experience in wholesale liquidity provision / algorithmic trading at intraday frequency*

State your experience in building and maintaining frameworks to model and back-test changes to the liquidity landscape*

State your experience building and maintaining models for client categorisation and flow anomaly detection*

State your experience in continuous monitoring of client flow metrics to ensure that pricing models are optimally calibrated against both flow risk profile and client expectations*

Any other comments to support your application

Attach CV*

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