Credit Risk Analyst

Up to £55,000

Hybrid (1 time a month in the office)

London

The Company

I am hiring a credit risk analyst for a mortgages lending company who lead the way on all types of mortgages, from standard home loans, buy to let and commercial mortgages. Within this role you will help drive credit risk strategy and insight.

The Role

As a Credit Risk Analyst, you will be:

• Reporting on credit risk insights and trends to senior stakeholders
• Using analytics skills to improve credit risk rule based systems
• Helping maintain credit risk systems to remain in like with IFRS 9 regulation.
• Spotting trends to find new ways to increase profitability
• Developing new lending opportunities across the business

Your skills and experience

To be successful as a Credit Risk Analyst, you will need:

• Strong experience with SAS and SQL
• Experience working with credit risk reporting
• Experience working in financial services (ideally a Bank)
• Excellent communication skills
• Strong stakeholder management
• A numeric degree from a top university

Benefits

Up to £55,000 + benefits package

HOW TO APPLY

Please register your interest by sending your CV to Sean Tunley via

Credit Risk Modeller

Sevenoaks

Hybrid

Up to £80,000

The Company

I am hiring for a market-leading motor finance company based in Sevenoaks. They have a portfolio of over 200,000 customers and they need someone to come in to help develop, maintain and optimise their credit risk models

The Role

What you will do as a Credit Risk Modeller:

• Developing and implementing credit risk models (scorecards, underwriting and collections)
• Analyse large datasets to extract meaningful insights to drive model development
• Developing models working within the data science function
• Communicating and presenting analysis and insights to senior stakeholders
• Using SQL and Python daily to develop a range of credit risk models

Requirements:

What you need to be successful as a Credit Risk Modeller:

• Strong experience working within credit risk models
• Experience developing scorecards, underwriting models, and collections models
• Strong experience developing end-to-end credit models
• Strong experience using python to develop models (SAS and SQL would be ideally as well)
• Numeric degree from a top university

Benefits

Up to £80,000 + competitive bonus and benefits

HOW TO APPLY

Please register your interest by sending your CV to Sean Tunley via

SENIOR DATA SCIENTIST

Up to £85,000 + Bonus

SEVENOAKS

Ready to elevate your career to new heights? Join an experienced team to create impactful models and work with cutting-edge technologies. The aim to become the world’s largest establishment providing services based on Machine Learning models in the Risk Space.

The Role:

Your day-to-day responsibilities will include:

• Apply data science and machine learning methods for forecasting, streamlining processes, and analyzing behavior.
• Conduct analyses to endorse or discover fresh projects, products, and business prospects, including presenting findings and recommendations to senior leadership.
• Assume responsibility for the model validation and assessment process.
• Proactively pinpoint areas within the organization where Analytics can provide insights or streamline operations.
• Serve as an in-house consultant, interpreting user requests and, when appropriate, proposing improved or alternative approaches to achieving desired outcomes.
• Continuously explore and investigate novel tools and techniques for analysis, modeling, data exploration, and presentation; proposing and implementing them as suitable.
• Regularly utilize Python, T-SQL, and Excel.
• Contribute to the documentation of fundamental processes and protocols.
• Remain open to the possibility of learning and using additional tools and languages as per the evolving needs of the team and business.

Your Skills and Experience:

• MSc or PhD level education in STEM subjects.
• Proven expertise in implementing Machine Learning and clustering techniques.
• Strong commercial experience with Python and data visualization, and proficient knowledge of Python, R, and Scala.
• Previous commercial exposure to tools such as Keras, TensorFlow, Python.
• Excellent communication skills and ability to engage with teams and colleagues.

Benefits:

• Competitive salary range of £85000.
• Outstanding career progression opportunities.
• Flexible working arrangements.

How to Apply:

Register your interest by sending your CV to Luc Simpson-Kent via the Apply link on this page.

Web Analytics Consultant – Remote (UK) – Up to £50,000!

This international Digital Experience agency specializing in Web Analytics is looking to grow out its UK team with a consultant who specialises working in Google Analytics.

Company & Culture

We are exclusively partnering with a Web Analytics agency that operates internationally. The agency works with leading clients looking to improve their digital maturity by helping them with tracking capabilities in both Adobe and Google, website traffic reporting and CRO.

The company is silo’d into an Adobe Team and Google Team, where both teams work with a different set of clients depending on their requirements. The Google Analytics Team works closely with the CRO team and Engineering team.

They aim to build long-lasting retained relationships by acting as an extension of their client’s teams and building long-standing working relationships.

The company is undergoing sustained growth with a current head count of 30, aiming to double in 2023.

What’s on offer

As a Web Analytics Consultant, you will work with clients and deliver real value. You will partner with clients in helping their website analytics specifically in Google Analytics and Google Analytics Implementation.

The role is fully remote with options to a hot desk in the central London shared office spaces.

This role comes with a 4.5-day working, 7% pension match, unlimited training & development budgets and flexible working hours.

What you’ll need

As a Web Analytics Consultant you will need to have experience with Google Analytics Implementation using Google Tag Manager.

Next Steps

Hit apply and we’ll be in touch to go through your experience and the role in more detail, or send your CV

Machine Learning Engineer

up to £100 000

London

NEW Machine Learning Engineer Opportunity Available with a Leading Organisation!

The Company:

Are you an expert in Machine Learning?

We are on the lookout for a Machine Learning Engineer to join an ambitious team.

The objective of this company is to grow even more prominent in their industry through Data scientists/Engineering and Machine Learning Ops’ best practices and you will be working on Recommendation Systems and Deploying complex ML Models.

The Role:

As a Machine Learning Engineer:

• Apply Machine Learning Engineering project
• You will build the Machine Learning Infrastructures interacting with CI/CD pipelines, MLFlow, Kafka, and Kubernetes.
• You will be developing and Deploying Advanced Analytical algorithms / scalable solutions using Cloud.
• You will be working within a team of highly skilled Data Engineers and Data Scientists.
• You will be able to have ownership and lead exciting projects.
• Regularly liaise and engage with stakeholders.

YOUR SKILLS AND EXPERIENCE:

• You need to have a MSc or PhD level in Stem subject.
• You must have proven knowledge in the implementation of Machine Learning and clustering techniques with commercial experience as a Data Scientist.
• DevOps experience in CI/CD.
• Experience using Tensorflow, Kubernetes, MLFlow, Kafka, and Airflow.
• Experience using Python is a must (tools like AWS and Spark are beneficial)
• Excellent communication skills and team and colleague engagement.
• A keen interest in problem-solving and using scalable machine learning to solve the biggest data-related problems

BENEFITS:

• up to £100,000 Competitive Salary
• Hybrid work

How to Apply:

Please register your interest by sending your CV to Luc Simpson-Kent via the Apply link on this page.

SENIOR CREDIT RISK ANALYST- STRESS TESTING

LONDON- HYBRID

UP TO £70,000

Join a leading bank looking for a Senior Credit Risk Analyst, specialising in Stress Testing and Portfolio Sensitivity assessments.

ROLE

• Support the undertaking of regular and ad-hoc Stress Testing activity, make updates to Stress Testing model mechanics and parameters, and proactively identify enhancements and opportunities within the stress testing engine and surrounding process.
• Collaborate with credit risk modeling teams to ensure the accuracy and integrity of stress testing models and data.
• * Input into the Internal Capital Adequacy Assessment Process (ICAAP), providing analysis and updates to management.
• Stay up-to-date with industry best practices, regulations, and market trends related to stress testing and credit risk management.
• Contribute to the development of credit risk policies and procedures, incorporating stress testing findings.

REQUIREMENTS

• Bachelor’s degree in finance, economics, mathematics, statistics, or a related field. Master’s degree preferred.
• Stress testing experience
• Exposure to ifrs9 models and capital analytics

BENEFITS

• Hybrid working in London
• Competitive salary and performance-based bonuses.
• Opportunities for professional growth and development.
• A dynamic and inclusive work environment.

HOW TO APPLY

please apply below or send over your CV

MARKETING MANAGER

UP TO £60,000

HYBRID – LONDON

THE COMPANY

This is a specialist healthcare marketing agency that works with some of the biggest pharmaceutical companies in the country.

THE ROLE

As a Marketing Manager, you can expect to be involved in the following:

• Act as a key point of contact for clients, leading their strategy on a daily basis
• Deliver tactical marketing and customer engagement projects
• Work with the Marketing Director to develop marketing strategies and campaigns
• Budget management
• Prepare and host workshops
• Create presentations for clients to demonstrate the results of projects and campaigns

YOUR SKILLS AND EXPERIENCE

• Must have experience with healthcare marketing
• Good creative and analytical skills
• Strong communicator
• Proficient in Microsoft Office with particular strength in Powerpoint
• Skilled in marketing and healthcare

BENEFITS

• Salary up to £60,000
• Hybrid working
• 33 days holiday including bank holidays
• Employee benefits scheme – includes option for private medical cover, group life assurance, healthcare cash plan

How to apply

Express your interest by sending your cv to Valentine via the apply link on this page

LEAD CREDIT RISK MODELLER

UP TO £75,000 + BONUS + SPONSORSHIP

LEEDS

Our client is currently hiring for multiple credit risk consultants. They have a need for regulatory modellers with experience in IRB or IFRS9 models. They are widely known as a business with excellent culture and low attrition. There are clear paths for development and no one in your way of achieving promotions.

THE COMPANY

This financial services business place employee and customer satisfaction at the forefront of their business model making it a great environment to be a part of. They offer a wide range of projects to get involved in and a level of expertise that will help make you a standout candidate on the market.

THE ROLE

You can expect to be involved in the following day to day:

• Development of risk and pricing models
• Work mainly on IRB and IFRS9 models spanning PD, LGD and EAD models
• Support business in project delivery
• Work closely with senior leaders in the business
• Work on a wide range of products – not limited to just cards or loans

SKILLS AND EXPERIENCE

• Experience working in a retail credit risk environment
• Strong experience in SAS/Python
• Experience developing IRB or IFRS9 models
• Exposure to senior stakeholders
• A strong university degree in a numerate discipline

SALARY AND BENEFITS

• Salary £40,000-£75,000 dependant on experience
• Discretionary Bonus
• Pension
• Private Medical

HOW TO APPLY

Please register your interest by sending your CV to Shane McWilliams via the Apply link on this page.

LEAD CREDIT RISK MODELLER

UP TO £75,000 + BONUS + SPONSORSHIP

LONDON

Our client is currently hiring for multiple credit risk consultants. They have a need for regulatory modellers with experience in IRB or IFRS9 models. They are widely known as a business with excellent culture and low attrition. There are clear paths for development and no one in your way of achieving promotions.

THE COMPANY

This financial services business place employee and customer satisfaction at the forefront of their business model making it a great environment to be a part of. They offer a wide range of projects to get involved in and a level of expertise that will help make you a standout candidate on the market.

THE ROLE

You can expect to be involved in the following day to day:

• Development of risk and pricing models
• Work mainly on IRB and IFRS9 models spanning PD, LGD and EAD models
• Support business in project delivery
• Work closely with senior leaders in the business
• Work on a wide range of products – not limited to just cards or loans

SKILLS AND EXPERIENCE

• Experience working in a retail credit risk environment
• Strong experience in SAS/Python
• Experience developing IRB or IFRS9 models
• Exposure to senior stakeholders
• A strong university degree in a numerate discipline

SALARY AND BENEFITS

• Salary £40,000-£75,000 dependant on experience
• Discretionary Bonus
• Pension
• Private Medical

HOW TO APPLY

Please register your interest by sending your CV to Shane McWilliams via the Apply link on this page.

HEAD OF DATA SCIENCE
LONDON
£80,000 – £100,000

Company Overview:
We are working with a leading marketing consultancy. They are looking for a highly skilled and visionary Head of Data Science to lead their growing data science team and drive innovation in marketing analytics. If you are a strategic thinker with a passion for data and marketing, we want you to join us in shaping the future of marketing consultancy.

RESPONSIBILITIES:

• Lead and manage a team of data scientists, analysts, and data engineers.
• Develop and execute data science strategies that align with clients’ marketing goals.
• Collaborate with clients to understand their business objectives and provide data-driven solutions.
• Drive the development of predictive models, machine learning algorithms, and statistical analyses.
• Actively participate in data analysis, model development, and data visualization.
• Implement data-driven marketing measurement frameworks and attribution models.
• Stay current with industry trends and emerging technologies in data science and marketing analytics.
• Ensure data privacy and security standards are maintained throughout all projects.

REQUIREMENTS:

• Master’s or Ph.D. in Data Science, Computer Science, Statistics, or a related field.
• Proven experience leading data science teams and projects.
• Strong background in machine learning, statistical modeling, and data analysis.
• Proficiency in programming languages such as Python or R.
• Knowledge of marketing analytics, customer segmentation, and campaign optimization.
• Exceptional communication and presentation skills.
• Strategic thinker with the ability to translate complex data insights into actionable recommendations.
• Experience with marketing technology platforms and tools is a plus.

NEXT STEPS:
If this looks interesting, please reach out to Joseph Gregory

PROCESS:
Intro chat
Technical interview

GEOSPATIAL ENGINEER
HYBRID (LONDON)
£50,000 – £65,000

COMPANY:
We are working with a company aimed at harnessing the power of geospatial data to grow its intelligence platform to aid in natural catastrophe prediction. They work with satellite imagery to assess damages and predict areas that are likely to be impacted.

RESPONSIBILITIES:

• Design, develop, and maintain geospatial software and applications.
• Collaborate with cross-functional teams to gather requirements and define project scope.
• Analyse and process geospatial data from various sources.
• Implement and optimize geospatial algorithms and models.
• Creating end-to-end solutions.

REQUIREMENTS:

• Bachelor’s or Master’s degree in Geospatial Engineering, Geography, Computer Science, or a related field.
• Proven experience in geospatial software development and analysis.
• Proficiency in GIS (Geographic Information Systems) software and tools.
• Strong programming skills in languages such as Python, Java, or C++.
• Knowledge of spatial databases and data management.
• Familiarity with geospatial data formats (e.g., Shapefiles, GeoJSON, KML).
• Excellent problem-solving and communication skills.

NEXT STEPS:
If this looks of interest, please reach out to Joseph Gregory

PROCESS:
HR Chat
Culture Interview
Technical interview

Speech Recognition and Synthesis Engineer

Fully Remote

Full Time

$180,000 – $200,000

Overall, this role combines expertise in machine learning, NLP, audio processing, and software development to create and deploy speech-related technologies that bridge the gap between spoken language and text, providing valuable applications in various domains.

THE COMPANY

We are currently partnered with a leading tech company that is at the forefront of audio systems. This company partners with financial systems and providers, consumers, and insurers.

THE ROLE

• Develop, implement, and maintain speech recognition models and systems that can accurately convert spoken language into text. This involves using machine learning techniques like deep learning, recurrent neural networks (RNNs), and convolutional neural networks (CNNs).
• Collaborate with data scientists and speech data annotators to collect and preprocess large datasets of audio recordings and corresponding transcriptions.
• Fine-tune and optimize speech recognition models for different languages, accents, and dialects.
• Integrate the speech recognition system into applications, products, or services for various industries, such as transcription services, voice assistants, and automation.
• Develop and maintain text-to-speech synthesis models that can convert text into natural-sounding human speech.
• Utilize neural TTS architectures like Tacotron and WaveNet to generate high-quality speech audio.
• Customize TTS voices and styles to match the specific requirements of clients or applications.
• Ensure the produced synthetic voices are expressive, clear, and natural-sounding.
• Deploy speech recognition and TTS models into real-world applications or systems, such as voice assistants, IVR (Interactive Voice Response) systems, and transcription services.
• Optimize models for latency, accuracy, and resource efficiency to meet performance requirements.
• Troubleshoot and resolve any issues related to model deployment and integration.
• Stay up-to-date with the latest advancements in speech recognition and synthesis technologies.
• Collaborate with cross-functional teams to improve the overall user experience and functionality of voice-related applications.
• Conduct performance evaluations, collect user feedback, and make iterative improvements to the models.

YOUR SKILLS AND EXPERIENCE

A successful Senior Engineer within this role will likely have the following skills and experience:

• Bachelor’s or Master’s degree in computer science, electrical engineering, or a related field.
• Strong programming skills in languages such as Python, TensorFlow, PyTorch, or Keras.
• Proficiency in machine learning, deep learning, and natural language processing (NLP) techniques.
• Experience with speech recognition and synthesis libraries and tools.
• Knowledge of audio signal processing techniques is a plus.
• Strong problem-solving skills and attention to detail.
• Effective communication and teamwork skills.

HOW TO APPLY

Please register your interest by sending your resume via the Apply link on this page