What are the responsibilities and job description for the quantitative researcher position at Paradine?
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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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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.
© 2026 Paradine Limited. Registered in England and Wales No. 09381495. All rights reserved.
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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
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l
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f
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o
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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.
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—
C
o
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p
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i
v
e
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
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f
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c
a
t
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n
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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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v
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r
e
s
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a
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c
h
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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
- Privacy Notice
- Cookie Policy
© 2026 Paradine Limited. Registered in England and Wales No. 09381495. All rights reserved.
V
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Q
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R
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s
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c
h
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r
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a
t
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—
L
e
e
d
s
o
r
L
o
n
d
o
n
S
a
l
a
r
y
—
C
o
m
p
e
t
i
t
i
v
e
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
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