HARNHAM

Responsibility

• work with the team to build credit stress testing models for PD, LGD, and EAD, creating forward looking elements and aspects
• develop and maintain quantitative models for credit scenario analysis within the banks risk frameworks
• provide stakeholders with advice and clarity on model use, model impact and model implementation, providing actionable MI on model performance

Requirements

• credit
• communication
• modelling
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• credit Risk
• credit Cards
• portfolio
• python
• experience in an end-to-end credit risk function
• experience using SAS/SQL/Python
• graduated with a numerate degree
• proficient with SAS, SQL and/or Python
• hands on coding skills with SAS
• experience designing, developing and implementing strategies or managing portfolio dynamics in a Credit Risk environment
• prior experience in the development and implementation of credit risk strategies
• educated to degree level from a Russell Group University preferred
• experience using SQL and Python would be ideal but there can be flexibility for someone with strong general programming skills
• university degree in a numerate discipline from an accredited University
• educated to a degree level in a numerate discipline
• extensive experience working with bureau data
• strong understanding and use of tools such as SAS, SQL, R - Studio or Python
• at least three years' experience in credit risk strategy and driving insight
• experience working on credit risk strategies
• credit Risk experience in an unsecured lending environment i.e. loans or cards experience is ideal
• must have model validation experience within Credit Risk or similar environment
• expertise in IFRS9/IRB model development as well as knowledge of stress testing
• experience with retail portfolios
• team management experience required
• strong knowledge and previous experience with SAS
• at least 5 years of experience working with impairment, IFRS9, or IRB models
• must have built regulatory and/or scorecard models
• strong A-levels in numerate disciplines would be another nice to have
• educated to degree level in a numeric discipline, ideally from a Russell Group university
• experience working in an analytical role in a Credit Risk or related financial function
• proven experience in an Analytics environment , using data to drive decisions
• extensive experience using SQL, Python, SAS or other tools
• proven knowledge of modelling techniques like PD, LGD and EAD
• A background in retail banking or a FinTech
• strong SAS experience
• some understanding of statistical modelling techniques would be desirable
• strong SAS/Python capabilities
• excellent using SAS and SQL
• experience driving strategy development and changes in a Credit Risk Collections in essential
• experience with an analytical tool such as SAS/SQL/Python/R will set you apart
• experience working in retail credit risk, using data to solve problems and build solutions
• experience working on pricing strategies
• scorecard, IFRS9 and/or IRB model development and/or validation experience preferred
• knowledge of Financial Services
• strong SAS skills required
• experience delivering MI or management reports is required
• prior experience in Credit Risk Modelling as well as IRB and IFRS9
• understanding of the management of credit financials, associated governance, and stakeholder perspectives
• experience using SQL, Python or similar software for data analysis
• previous line management experience
• excellent quantitative and analytical ability
• strong stakeholder engagement experience and communication skills
• ideally experience working with a credit card portfolio
• strong statistical modelling background
• A strong university degree in a numerate discipline
• experience implementing credit risk strategies
• educated to at least degree level in a statistical subject
• experience working in an analytical role in Collections and Recoveries
• strong communication and stakeholder skills
• experience working in an impairment role or developing IFRS9 models is required
• comfortable working with SQL, Python, SAS with large data sets

Earnings for position credit manager

Current offers for the position:

Responsibility

• drive the strategic direction of credit card products, taking into account the Consumer Duty Act and its impact on the industry
• lead the ideation, development, and launch of new advertising products and features on a social networking app
• leverage A/B testing methodologies to conduct experiments and optimise product performance, user engagement, and conversion rates
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• conduct thorough market research, competitor analysis, and customer segmentation to identify opportunities for product differentiation and growth
• analyse user data, feedback, and market trends to identify opportunities for product improvements
• conduct market research and competitor analysis to identify industry trends and monetization opportunities
• launching products from scratch to launch new revenue streams
• develop and maintain a roadmaps with a priority on projects that have the largest business impact on customers
• optimising and delivering improvements to both the app and website user journey
• lead the ideation, development, and launch of new advertising products and features on the social networking app
• develop and execute the digital product strategy, focusing on enhancing the online experience for customers
• collaborate with engineering, design, and data science teams to prioritize and implement product enhancements, ensuring seamless integration with the user experience
• creating and managing product and product features
• delivering exceptional customer experiences, while balancing the requirements of business stakeholders, technical limitations, and user experience best practice
• own strategy, execution and delivery of one products
• develop and maintain a clear product roadmap, aligning with business objectives and user needs
• managing a team of 10, a combination of BI and Data Engineering professionals
• developing innovative product ideas, strategies, and roadmaps
• leading the vision, design, and delivery of features necessary to achieve the digital product strategy and roadmap
• lead the end-to-end product development lifecycle, from ideation to launch, ensuring efficient project management and timely delivery of initiatives
• creating the product idea, strategy and roadmap
• develop and maintain the product roadmap and prioritize features based on user feedback, market trends, and business goals
• work with stakeholders to identify changes that can be made to relevant systems improve the functionality, managing the process throughout
• conduct market research and competitor analysis to identify industry trends and opportunities for monetisation
• designing and developing efficient and scalable data pipelines
• work cross-functionally to deliver innovative and user-friendly digital products
• drive and manage their internal data projects with a growing team of data specialists to deliver best in class data products
• own the entire product roadmap
• manage and prioritise the product backlog, ensuring requirements are well defined and understood by the development team
• oversee and manage the data migration to AWS and Databricks
• collaborating closely with developers and engineers on a daily basis
• collaborating with stakeholders to ensure alignment between product and business strategies, exceeding expectations
• champion the voice of the user, ensuring that product decisions are driven by customer insights
• ensuring data quality, integrity, and security throughout the data lifecycle
• analyze and interpret data to monitor product performance, identify areas for improvement, and implement optimization strategies
• working with developers/engineers day to day
• collaborate with cross-functional teams, including design, engineering, marketing, and customer support, to define and implement product features
• lead and coordinate AB testing
• monitor product performance and user feedback, utilising data-driven insights to optimise digital products
• scope and shape projects with guidance and support from senior members of the Data team
• improve key metrics such as funnel conversion
• developing key relationships across the business with a key focus on IT, trading and commercial
• collaborate with UX/UI designers to create intuitive and engaging user interfaces

Requirements

• sql
• analytics
• communication
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• strategy
• python
• ecommerce
• analysis
• features
• consultancy
• machine learning
• google analytics
• consulting
• data science
• digi
• bachelor’s or Master’s degree in Computer Science, Data Science, or a related field
• solid experience as a Product Manager within the financial services industry, preferably with a focus on credit cards
• proven experience in product management, particularly in the digital advertising industry, preferably within social media or mobile app environments
• data product
• proven experience as a Data Engineer or similar role, with a strong understanding of data engineering concepts and best practices
• demonstrable experience in defining and delivering a product vision
• product management
• use SQL to query data and provide insights into customer segmentation, retention and engagement
• proven experience in successfully launching products from concept to market
• proficiency in programming languages like Python, Java, or Scala
• proven track record of influencing a product roadmap
• proven track record of successfully launching and managing credit card products, demonstrating strong commercial acumen
• A track record of monetizing products effectively
• roadmap
• ownership
• strong CRO experience
• hands-on experience with big data processing frameworks such as Hadoop, Spark, or Apache Beam
• excellent communication, presentation, and stakeholder management skills
• excellent analytical skills, with the ability to interpret complex data and make data-driven decisions
• experience with cloud-based data platforms such as AWS or Azure is also preferred
• experience in a Product Manager or Product Owner role
• predict how business decisions may be responded to by the customer, allowing the business to strategically plan releases and product launches
• phD or Master’s in a numerical or relevant field is preferred

Benefits

• company car

Earnings for position product manager

Current offers for the position:

Responsibility

• design and build critical data pipelines, laying the groundwork for data-driven decision-making across the organization
• develop and implement a robust data governance framework, including policies, standards, and procedures
• design and implement a cutting-edge data infrastructure
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• integrate with diverse APIs, transforming raw data into actionable insights for customer success, growth, and product teams
• collaborate with stakeholders to define and document data quality standards and metrics
• building and designing APIs
• manage the full lifecycle, including capacity planning and optimization
• leading the data team and developing a strategic vision for data at the company
• champion DevSecOps principles, ensuring data security and reliability at every stage of the data pipeline
• establish and enforce data governance best practices to ensure data integrity, security, and compliance
• ensure reliability, availability, and security, adhering to best practices
• building and designing services
• working with stakeholders across the business to ensure that data is used effectively to support decision-making
• collaborate with data scientists and analysts, bridging the gap between technical infrastructure and business needs
• lead efforts to classify and categorize data assets, and implement access controls based on sensitivity
• help clients design solutions to their problems
• collaborate with data governance and engineering teams for alignment
• overseeing the development and implementation of data governance, data engineering, data science, business intelligence, automation, and data architecture solutions
• develop and maintain web and mobile applications using modern full-stack technologies
• oversee data stewardship programs, ensuring accountability for data quality and ownership
• collaborate with product managers and designers to translate business requirements into technical specifications
• stakeholder management
• automate estate, incorporating IaC, monitoring, and resource provisioning
• managing the team’s budget and resources
• collaborate with IT and business units to implement and monitor data governance initiatives
• working with lots of data
• oversee integration of Azure data services, Databricks, and PowerBI/Fabric
• ensuring that the team is aligned with the company’s overall goals and objectives
• ensure the responsiveness and performance of applications across various devices and platforms
• stay current on industry trends, regulations, and emerging technologies related to data governance
• implement and adhere to best practices for coding, testing, and deployment
• improving customer experience
• lead the data infrastructure team and maintain documentation
• participate in code reviews to ensure code quality and maintainability

Requirements

• bachelor’s or Master’s degree in Computer Science, Information Technology, or related field
• bachelor’s or Master’s degree in Information Management, Data Science, or a related field
• strong experience in managing Azure data infrastructure
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• proven experience in data governance, data management, or a related role
• knowledge of PowerBI, Databricks, and data analytics platforms
• in-depth understanding of data governance principles, practices, and industry standards
• excellent problem-solving, organizational, and leadership skills
• the company is a growing organization with a strong culture and a commitment to innovation
• familiarity with regulatory requirements related to data, such as GDPR, HIPAA, or other industry-specific standards
• first-in-function experience building data platforms ideally for startups or scale-up companies
• expertise in programming languages , relational databases , and data warehouses
• strong communication and interpersonal skills, with the ability to influence and drive change
• good communication and personable - can explain daily activities to non-tech leads
• A background in fraud within a FinTech or broader financial services is essential
• experience in implementing data governance tools and technologies is a plus
• experience with cloud-based data platforms such as AWS or Azure is also preferred
• highly proficient in Python programming
• passion for email marketing key to this role
• familiarity with data modeling, agile methodologies, and industry tools like Stitch and DMS
• experience working with data-focused strategy in CRM
• experience with SQL is essential
• python
• A good understanding of cloud architecture within AWS or GCP
• react and TypeScript
• retail experience will support your application
• strong analytical skills, keen understanding of data quality, and an eagerness to innovate
• typescript
• google Analytics or Adobe Analytics
• B2C experience is ideal
• strong knowledge and experience in Java Spring Boot and API development
• CRO Development Experience
• team leadership experience is needed
• prior experience within payments would be desirable
• react
• an appreciation of coding best practices e.g CI/CD
• tag Management experience
• agency-side experience is a plus
• proficiency in React framework and microsite architecture for front-end development
• wider commercial acumen and close stakeholder experience

Earnings for position full stack developer

Current offers for the position:

Responsibility

• work with clients to gather requirements and understand their business needs
• design and develop business intelligence solutions using SSIS, Microsoft Power BI, Azure, and other relevant tools and technologies
• defining and executing data and analytics program initiatives by providing discipline, direction, and objectives
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• design, development and upkeep of required software using Python
• collaborate with other teams and stakeholders to ensure the successful delivery of projects
• own and develop program assessment protocols for evaluation and improvement
• design, development, and upkeep of essential microservices and API's
• leading KPI definition workshops
• provide technical guidance and expertise to junior team members
• modify and adapt existing APIs for different projects or clients, including endpoint changes and system integration
• collaborate with the R&D team to design, develop, and maintain the med-tech platform using Python
• leverage existing intelligence offerings and user understanding to enable the organization to ultimately provide all-encompassing information for instance
• maintaining and developing cloud technology in GCP
• creating appealing dashboards and reports
• analyse and understand existing APIs to extract information and develop custom solutions based on their structure
• utilize your expertise in Flask and/or FastAPI to build efficient and scalable backend services
• conduct training sessions and workshops for clients to ensure they understand and can utilize the solutions developed
• recording and monitoring data relating to the global aircraft fleet
• supporting the Data Science & ML functions
• stay up to date with industry trends and developments to ensure that our solutions are cutting-edge and innovative
• write clean, well-documented, and testable code to ensure high-quality software delivery
• capturing and analysing transactions, pricing, life-cycle management, and deployment
• establishing and promoting the use of best practices in the software engineering life cycle
• utilizing usability and experience analytics tools like Contentsquare and Hotjar
• communicate effectively with clients, gather requirements, and provide regular progress updates on API development
• work closely with cross-functional teams to gather requirements and translate them into technical solutions
• manage the growth and optimization of orchestration tools for project execution and risk management
• mentoring Junior engineers and providing technical guidance
• leveraging data exploitation, discovery, and visualization tools such as Tableau, QlikSense, Klipfolio, and Power BI
• apply expertise in Python, Django, FastAPI, JSON, and AWS to develop robust and scalable solutions
• collaborate with DevOps engineers to ensure seamless integration and deployment of the platform
• analyse, evaluate, and overcome program risks and produce reports for senior leadership always keeping time and budget constraints in mind
• skill/Experience
• testing and ensuring the quality of tracked web pages and apps
• write clean, modular, and well-documented code, implement unit tests, and perform debugging and troubleshooting

Requirements

• proven experience in program and project management with a desire to optimize productivity and nurture program success from inception to completion
• expert programming in python
• commercial experience with Python
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• essential
• bachelor’s degree in Computer Science, Information Technology, or a related field
• excellent leadership skills and seasoned C-Level stakeholder management and influencing skills
• commercial cloud experience
• commercial experience with cloud technology
• python
• minimum of 5 years of experience in Business Intelligence and Consultancy
• experience in digital, fast-paced companies, with significant experience in managing data platforms and multi-million budget responsibility
• commercial experience with Docker
• great communication skills
• flask/FastAPI
• expertise in SSIS, Microsoft Power BI, and Azure
• the successful candidate will have…
• you are adept at defining and implementing API layers
• good working knowledge of project disciplines, tools, and software such as Scrum, Agile, Kanban, Jira, Sales Force
• cloud
• strong skills and experience in Data Science
• experience in designing and developing end-to-end BI solutions
• full right to work in the UK
• proficiency in Python programming language
• experience working with big data
• solid experience in Python development
• experience in a relevant industry is required
• at least 5yrs Data Engineering experience
• working knowledge of data platforms, tools, and software, especially any visualisation software
• experience with web frameworks such as Django and FastAPI
• full proficiency using Python
• knowledge of cloud computing principles and software engineering practices and procedures
• commercial use of AWS
• docker
• strong analytical and problem-solving skills
• experience with predictive modelling
• strong business acumen and ability to strategize and implement high-level program initiatives
• strong understanding of JSON and its usage in API development
• experience with GCP and Pub/Sub
• computer science education
• kubernetes
• excellent communication and interpersonal skills
• excellent skills in SQL and Python
• you're excited by Big Data projects and technology
• full proficiency in Python and SQL

Earnings for position python developer

Current offers for the position:

Responsibility

• as a Senior Business Insights Analyst, you can expect to deliver detailed analysis around key metrics on clients' health
• ensure data integrity across the platform
• develop reports and produce data models
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• working on the financial/operational/strategy - Creating board packs and weekly/monthly reports
• maintain, design and manage the administration of Looker
• responding to client problems, solving their issues and delivering insight
• running meetings with Engineers
• develop a way to produce monthly trading reports and financial data models
• analyse campaign and customer data, identifying patterns and actionable insights to improve marketing performance
• deliver an assessment of the UX and UI for their products
• work closely with client teams to analyse client performance and identify opportunities for client improvement
• interpret insight findings and present them to multiple teams
• produce a design standard for the future
• identify and promote over performing content to optimise paid and owned marketing channels
• refine stories and deliver backlog management
• answer ad-hoc business questions with data
• develop and maintain reporting dashboards that effectively showcase the impact of marketing activity across campaigns

Requirements

• SQL and Power BI
• business Analysis
• analytics
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• business Analysts
• analyst
• sql
• analysis
• user stories
• financial modelling
• media
• epic
• fp&a
• google analytics
• communication
• lifecycle
• bi
• campaign
• willingness to travel to Bank location to support the delivery of workshops
• insights
• ga
• readiness to work outside of normal business hours
• cfo
• segmentation
• business analytics
• senior business insights analyst
• the successful Business Analyst will have the following skills & experience
• strong communication and business analyst skills
• partner with key stakeholders to accurately define and gather requirements
• solid data visualisation and reporting experience, ideally using Power BI or similar
• strong expertise in SQL
• previous experience working within the Insurance industry
• be a champion of utilising PowerBI in the firm, delivering demonstrations of your work
• commercial experience using SQL
• two years of commercial experience with PowerBi
• mentor/manage junior and senior BI Analysts
• natural ability to communicate with stakeholders at all levels

Earnings for position business analyst

Current offers for the position: