quantitative researcher

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Quantitative Researchers at Paradine work with vast data sets and

build the probabilistic models that drive our sporting insight

and opinion. Teams are small, focused and have freedom and

flexibility in how they tackle their projects to find novel ways of

harnessing data to better predict outcomes.

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• Degree (2:1 or higher) in STEM subject
• Strong mathematical skills
• Understanding of probability theory and Bayesian statistics
• Experience using Python
• Ability to write high-quality, readable, maintainable code

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Why this role?

As a Quant at Paradine you will join a highly

skilled and experienced team answering a

variety of complex sporting questions. You

will work on building probabilistic models,

the quality and evolution of which are central

to the company’s success. You will find

innovative ways of extracting information from

various sporting and market data sources.

Modelling and predicting sports outcomes is a

uniquely challenging field, and you will have

plenty of opportunities to use your

experience, judgement and imagination to solve

difficult problems.

Your skills

You should have a strong grounding in

mathematics and/or statistics to degree level

or higher. You should have experience with the

typical Python stack (numpy, pandas etc.), R

and other statistical software and be able to

write high-quality, maintainable code. Whilst

not an absolute requirement, some knowledge of

sports or experience working with sporting

data will be valuable. You will keep yourself

up to date with best practice in the field and

always be looking to find new skills and tools.

Your approach

Beyond Your Technical Skills And Experience you should be a strong critical thinker and

problem solver. You should be rigorous and

sceptical in your approach to data; creative

and open-minded in searching for novel

approaches and highly committed, taking

ownership of your results. Our Quant teams are

highly collaborative and work closely with

other teams so cross-business communication

skills are also highly valued.

Get in touch for further details or see 'Our

People' to find out more about life at

Paradine, our benefits and policies.

• Our Teams
• Vacancies
• Contact Us
• Privacy Notice
• Cookie Policy

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© 2026 Paradine Limited. Registered in England and Wales No. 09381495. All rights reserved.

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—

C

o

m

p

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i

t

i

v

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Quantitative Researchers at Paradine work with vast data sets and

build the probabilistic models that drive our sporting insight

and opinion. Teams are small, focused and have freedom and

flexibility in how they tackle their projects to find novel ways of

harnessing data to better predict outcomes.

Q

u

a

l

i

f

i

c

a

t

i

o

n

s

a

n

d

S

k

i

l

l

s

• Degree (2:1 or higher) in STEM subject
• Strong mathematical skills
• Understanding of probability theory and Bayesian statistics
• Experience using Python
• Ability to write high-quality, readable, maintainable code

q

u

a

n

t

i

t

a

t

i

v

e

r

e

s

e

a

r

c

h

e

r

t

h

e

r

o

l

e

Why this role?

As a Quant at Paradine you will join a highly

skilled and experienced team answering a

variety of complex sporting questions. You

will work on building probabilistic models,

the quality and evolution of which are central

to the company’s success. You will find

innovative ways of extracting information from

various sporting and market data sources.

Modelling and predicting sports outcomes is a

uniquely challenging field, and you will have

plenty of opportunities to use your

experience, judgement and imagination to solve

difficult problems.

Your skills

You should have a strong grounding in

mathematics and/or statistics to degree level

or higher. You should have experience with the

typical Python stack (numpy, pandas etc.), R

and other statistical software and be able to

write high-quality, maintainable code. Whilst

not an absolute requirement, some knowledge of

sports or experience working with sporting

data will be valuable. You will keep yourself

up to date with best practice in the field and

always be looking to find new skills and tools.

Your approach

Beyond Your Technical Skills And Experience you should be a strong critical thinker and

problem solver. You should be rigorous and

sceptical in your approach to data; creative

and open-minded in searching for novel

approaches and highly committed, taking

ownership of your results. Our Quant teams are

highly collaborative and work closely with

other teams so cross-business communication

skills are also highly valued.

Get in touch for further details or see 'Our

People' to find out more about life at

Paradine, our benefits and policies.

• Our Teams
• Vacancies
• Contact Us