49 Financial Records jobs in the United Kingdom
Financial Data Verifier
Stoke Gifford, South West
£17 - £21 Hourly
Eden Brown Synergy
Posted 1 day ago
Job Viewed
Job Description
Eden Brown Synergy are working with an organisation based in Stoke Gifford in Bristol who are looking for a number of Data Verifiers to work in their Funding Project team.
The roles are full time (37 hours per week), to start in November 2025 and will run for 3 months initially.
The roles are paying 16.58 PAYE per hour + holiday pay.
The organisation offers hybrid working. At least two days a week in the office following training and after that they would be willing to consider fully remote working for the right candidate.
The roles:
The roles contribute to the data verification project in the Funding Round team (no prior knowledge of the data is required, as training and guidance will be provided). This involves considering data submitted for this year, comparing it to previous years and raising queries with providers. In many cases the credibility of responses will need to be analysed and further discussion with providers will be required.
Full training and guidance is provided and data verifiers are expected to work independently, referring to colleagues where appropriate. The work involves following established processes (though the verifiers will also need to exercise their own judgement, working to often tight deadlines, and communicating effectively internally and externally. People appointed to the role will develop funding expertise.
Essentials Skills:
Experience:
- Interpreting and manipulating numerical data accurately.
- Using Excel to a good level and good use of Word.
- Experience of Microsoft Teams in a document management capacity
- Managing own workload and prioritising work to meet deadlines
- Working independently
- Following processes and meeting deadlines accurately
- Ability to maintain attention to detail for work that is sometimes repetitive.
Knowledge & learning:
- Confident numerical skills: the ability to use and interpret numerical data accurately
- Ability to quickly develop knowledge of the organisation's role and funding methods and to consult guidance documents as necessary to supplement this knowledge.
- On-going commitment to learning and developing new knowledge and skills
- Ability to understand information and develop judgements, sometimes working with uncertainty
Planning:
- Able to manage own workload, resolve competing demands and adopt new procedures quickly
- Able to manage discrete areas of work and work independently
- Able to follow set processes and instructions reliably and accurately
- Able to work calmly and ask for help when needed
Please only apply for these roles if you have all the skills, knowledge and experience as mentioned above. As the roles are to start in the next few weeks please only apply of you are available to start work on no more than 2 week's notice.
Please also only apply if you can easily commute to Stoke Gifford in Bristol.
Thank you
Charlotte
Eden Brown Synergy is an equal opportunities employer.
Eden Brown Limited is a limited company registered in England and Wales with registered number (phone number removed). Our registered address is 5th floor 4 Coleman Street, London, EC2R 5AR, part of nGAGE Specialist Recruitment Limited T/A nGAGE Talent. Please consider the environment before printing this e-mail. This message is intended solely for the addressee and may contain confidential information. If you have received this message in error, please send it back to us, and immediately and permanently delete it. Do not use, copy or disclose the information contained in this message or in any attachment. We take reasonable precautions to ensure no viruses are present in this email but cannot accept responsibility for any loss or damage sustained as a result of computer viruses and the recipient must ensure that the email (and attachments) are virus free.
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0
Senior Financial Data Analyst (Remote)
EC2N 1AA London, London
£65000 Annually
WhatJobs
Posted 8 days ago
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Job Description
Our client, a leading financial services firm, is seeking a highly skilled Senior Financial Data Analyst to join their fully remote team. This position offers the opportunity to work from anywhere in the UK and play a crucial role in analysing complex financial data, developing predictive models, and providing actionable insights to support strategic decision-making. The ideal candidate will have a strong background in financial analysis, statistical modelling, and proficiency with data manipulation and visualisation tools. You will be responsible for extracting, cleaning, and interpreting large datasets, identifying trends, and presenting findings to stakeholders in a clear and concise manner. This role demands a meticulous approach, a passion for data-driven insights, and the ability to thrive in an independent, remote working environment. You will collaborate closely with finance, risk, and business intelligence teams to drive financial performance and identify new opportunities.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Develop and maintain financial models to forecast performance and support strategic planning.
- Analyse large, complex datasets to identify trends, patterns, and anomalies in financial data.
- Create insightful reports and dashboards for senior management and various business units.
- Perform deep-dive analysis on key financial metrics, including revenue, expenses, profitability, and cash flow.
- Collaborate with data engineers and IT teams to ensure data integrity and accessibility.
- Develop and implement data quality checks and validation processes.
- Identify opportunities for process automation and efficiency improvements in financial reporting.
- Present findings and recommendations to stakeholders at various levels of the organization.
- Stay abreast of industry best practices and emerging technologies in financial data analysis.
- Mentor junior analysts and contribute to the team's knowledge base.
Qualifications:
- Bachelor's degree in Finance, Economics, Statistics, Mathematics, or a related quantitative field.
- 5+ years of experience in financial analysis, data analysis, or a similar role.
- Advanced proficiency in SQL, Python, or R for data manipulation and analysis.
- Experience with financial modelling and forecasting techniques.
- Strong understanding of statistical concepts and their application to financial data.
- Proficiency in data visualisation tools such as Tableau, Power BI, or similar.
- Excellent analytical, problem-solving, and critical thinking skills.
- Exceptional communication and presentation skills, with the ability to explain complex data to non-technical audiences.
- Demonstrated ability to work independently and manage multiple projects in a remote setting.
- Experience in the financial services industry is highly desirable.
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1
Lead Financial Data Analyst (Remote)
CV1 1AA Coventry, West Midlands
£60000 Annually
WhatJobs
Posted 8 days ago
Job Viewed
Job Description
Our client is seeking a highly analytical and experienced Lead Financial Data Analyst to join their remote team, supporting their operations from Coventry, West Midlands, UK . This is a fully remote position offering the flexibility to work from anywhere while playing a critical role in driving financial strategy through insightful data analysis. The ideal candidate will have a strong background in financial analysis, data modeling, and reporting, with a deep understanding of banking and finance principles.
You will be responsible for collecting, cleaning, and analyzing large volumes of financial data to identify trends, patterns, and opportunities for improvement. This includes developing financial models, creating insightful reports and dashboards, and providing recommendations to senior management. The Lead Financial Data Analyst will also mentor junior analysts, establish best practices for data analysis, and ensure the accuracy and integrity of financial data. Proficiency in SQL, Python or R for data manipulation, and BI tools (e.g., Tableau, Power BI) is essential.
Key responsibilities include:
We are looking for individuals with a Bachelor's or Master's degree in Finance, Economics, Statistics, Data Science, or a related quantitative field, coupled with significant experience in financial analysis, preferably within the banking or finance sector. Exceptional analytical, problem-solving, and communication skills are required. The ability to translate complex data into clear, actionable insights for non-technical stakeholders is crucial. This remote role offers a significant opportunity to impact financial performance.
You will be responsible for collecting, cleaning, and analyzing large volumes of financial data to identify trends, patterns, and opportunities for improvement. This includes developing financial models, creating insightful reports and dashboards, and providing recommendations to senior management. The Lead Financial Data Analyst will also mentor junior analysts, establish best practices for data analysis, and ensure the accuracy and integrity of financial data. Proficiency in SQL, Python or R for data manipulation, and BI tools (e.g., Tableau, Power BI) is essential.
Key responsibilities include:
- Leading the analysis of financial data to provide strategic insights and support decision-making.
- Developing and maintaining financial models for forecasting, budgeting, and performance analysis.
- Creating comprehensive reports, dashboards, and visualizations to communicate key findings.
- Identifying trends, anomalies, and opportunities for cost savings and revenue growth.
- Collaborating with finance, operations, and business teams to understand their data needs.
- Ensuring the accuracy, consistency, and integrity of financial data across systems.
- Mentoring and guiding junior financial analysts.
- Establishing and implementing best practices for data analysis and reporting.
- Staying up-to-date with industry trends and best practices in financial analysis and data science.
- Automating reporting processes where possible to improve efficiency.
We are looking for individuals with a Bachelor's or Master's degree in Finance, Economics, Statistics, Data Science, or a related quantitative field, coupled with significant experience in financial analysis, preferably within the banking or finance sector. Exceptional analytical, problem-solving, and communication skills are required. The ability to translate complex data into clear, actionable insights for non-technical stakeholders is crucial. This remote role offers a significant opportunity to impact financial performance.
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2
Senior Financial Data Scientist (Remote)
EC2M 1AA London, London
£90000 Annually
WhatJobs
Posted 8 days ago
Job Viewed
Job Description
Our client, a globally recognized financial institution, is seeking an accomplished Senior Financial Data Scientist to drive innovation through data-driven insights. This role is fully remote, offering unparalleled flexibility for top talent.
Responsibilities:
Responsibilities:
- Design, develop, and deploy sophisticated machine learning models and analytical solutions to address complex business challenges in banking and finance.
- Extract, clean, and transform large, disparate datasets from various sources, ensuring data integrity and quality.
- Conduct advanced statistical analysis, predictive modeling, and data mining to uncover actionable insights and identify trends.
- Collaborate with business stakeholders, including product managers, engineers, and risk officers, to define project scope, objectives, and deliverables.
- Build and maintain robust data pipelines and analytical workflows.
- Develop and implement strategies for A/B testing and experimental design to validate hypotheses and measure the impact of initiatives.
- Stay at the forefront of advancements in data science, machine learning, and artificial intelligence, and identify opportunities for application within the financial sector.
- Present complex findings and recommendations clearly and concisely to both technical and non-technical audiences.
- Contribute to the development of data governance best practices and ensure compliance with relevant regulations.
- Mentor junior data scientists and foster a culture of continuous learning and innovation.
- Master's or Ph.D. in a quantitative field such as Data Science, Statistics, Computer Science, Mathematics, Economics, or a related discipline.
- Minimum of 6 years of experience in data science, with a strong focus on financial services or a related analytical domain.
- Proficiency in programming languages commonly used in data science, such as Python or R, and experience with relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch, Pandas).
- Strong understanding of statistical modeling, machine learning algorithms, and experimental design.
- Experience with large-scale data processing frameworks (e.g., Spark) and SQL.
- Excellent analytical, problem-solving, and critical thinking skills.
- Proven ability to communicate complex technical concepts effectively to diverse audiences.
- Familiarity with cloud platforms (e.g., AWS, Azure, GCP) is a plus.
- Experience with financial modeling, risk management, or fraud detection is highly desirable.
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3
Senior Financial Analyst - Data Monetization
BT1 5 Belfast, Northern Ireland
£55000 Annually
WhatJobs
Posted 8 days ago
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Job Description
Our client, a rapidly growing tech firm at the cutting edge of data analytics and digital solutions, is seeking a highly analytical and strategic Senior Financial Analyst to join their fully remote finance team. This position is pivotal in driving financial insights and supporting the monetization of our client's extensive data assets.
The Senior Financial Analyst will be responsible for developing financial models, forecasting revenue streams, and analysing the profitability of data-driven products and services. You will collaborate closely with data science, product management, and sales teams to identify opportunities for revenue growth and optimise financial performance. This is an excellent opportunity for a detail-oriented professional to shape financial strategy in a dynamic, remote-first environment.
Key Responsibilities:
Required Qualifications and Experience:
The Senior Financial Analyst will be responsible for developing financial models, forecasting revenue streams, and analysing the profitability of data-driven products and services. You will collaborate closely with data science, product management, and sales teams to identify opportunities for revenue growth and optimise financial performance. This is an excellent opportunity for a detail-oriented professional to shape financial strategy in a dynamic, remote-first environment.
Key Responsibilities:
- Develop and maintain sophisticated financial models to forecast revenue, expenses, and profitability related to data products and services.
- Analyse the financial performance of various data monetization strategies, providing actionable insights and recommendations to senior management.
- Collaborate with the data science and product teams to assess the financial viability of new data products and features.
- Prepare regular financial reports, including variance analysis and performance dashboards, for executive review.
- Support the budgeting and planning processes, ensuring alignment with strategic business objectives.
- Identify key financial metrics and KPIs for tracking the success of data monetization initiatives.
- Conduct ad-hoc financial analysis to support decision-making on pricing, partnerships, and investment opportunities.
- Monitor market trends and competitor activities related to data monetization.
- Ensure the integrity and accuracy of financial data and reporting systems.
- Contribute to the development and refinement of financial processes and controls in a remote setting.
Required Qualifications and Experience:
- Bachelor's degree in Finance, Accounting, Economics, or a related field. A Master's degree or professional certification (CFA, ACCA, CIMA) is highly desirable.
- Minimum of 5 years of progressive experience in financial analysis, preferably within a technology, data, or SaaS company.
- Proven experience in financial modelling, forecasting, and valuation.
- Strong understanding of data analytics, data products, and revenue models in the digital space.
- Excellent analytical, quantitative, and problem-solving skills.
- Proficiency in financial planning & analysis (FP&A) software and advanced Excel skills.
- Strong communication and presentation skills, with the ability to convey complex financial information clearly.
- Ability to work independently, manage multiple priorities, and thrive in a remote team environment.
- Experience with SQL or data visualisation tools (e.g., Tableau, Power BI) is a plus.
- Proactive and results-oriented with a keen eye for detail.
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4
Data Engineer - Financial Services
Greater Manchester, North West
£50000 - £60000 Annually
Tenth Revolution Group
Posted 1 day ago
Job Viewed
Job Description
Data Engineer - Remote (UK-Based) | Permanent | Data Services
Are you passionate about data and eager to make a real impact? We're seeking a talented Data Engineer to join a growing team and help shape the future of data-driven decision-making.
Location: Remote - UK-based
Type: Full-time, Permanent
About the Role
You'll work with Microsoft technologies to build high-quality data solutions that empower colleagues and deliver best-in-class customer experiences. Collaborate with Architects, Engineers, and cross-functional teams to develop scalable solutions that meet business needs and regulatory standards.
Key Responsibilities
- Design and deliver enterprise-level data solutions
- Collaborate with technical and business stakeholders
- Support cross-functional projects with Data Science, Digital, and Core Systems teams
- Participate in Agile ceremonies and code reviews
- Ensure compliance with data governance and security standards
- Create documentation and support the development lifecycle
What We're Looking For
Essential:
- Strong experience in Data Engineering and Business Intelligence
- Experience in regulated environments
- Strong analytical and problem-solving skills
- Excellent communication across all business levels
- Expertise in Microsoft Data Platform (SQL Server, SSIS, SSAS, SSRS)
- ETL/ELT pipeline experience
- Solid understanding of data warehousing and modelling
- Proficiency in T-SQL and DAX
- Strong interpersonal and teamwork skills
Desirable:
- Knowledge of financial services
- Power BI experience
- Programming/scripting (C#, Python, PowerShell)
- Experience with Microsoft Azure
- Exposure to PowerShell, Bicep, YAML, Power Platform
Please Note: This is a permanent role for UK residents only. This role does not offer Sponsorship. You must have the right to work in the UK with no restrictions. Some of our roles may be subject to successful background checks including a DBS and Credit Check.
Contact me: (url removed)
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5
Data Scientist - Financial Services
RG1 1AA Reading, South East
£70000 Annually
WhatJobs
Posted 8 days ago
Job Viewed
Job Description
Our client, a leading innovator in the financial services sector, is seeking a highly skilled and analytical Data Scientist to join their cutting-edge analytics team. This is a fully remote position, offering an exceptional opportunity to leverage vast datasets to drive strategic decisions, develop predictive models, and uncover valuable insights within the financial markets. The ideal candidate will possess a strong background in statistical analysis, machine learning, and data visualization, with a passion for solving complex business problems through data.
Your responsibilities will include designing, developing, and deploying machine learning models for applications such as fraud detection, risk assessment, customer segmentation, and algorithmic trading. You will collaborate closely with business stakeholders to understand their needs and translate them into data-driven solutions. This involves data collection, cleaning, and feature engineering from diverse sources. You will be responsible for validating model performance, monitoring their effectiveness in production, and continuously iterating to improve accuracy and efficiency. Strong programming skills in Python or R, proficiency with SQL, and experience with big data technologies (e.g., Spark, Hadoop) are essential. You will also be responsible for communicating complex findings and recommendations clearly and concisely to both technical and non-technical audiences.
We are looking for individuals with a Master's or PhD in a quantitative field such as Computer Science, Statistics, Mathematics, or a related discipline, or equivalent practical experience. A minimum of 5 years of professional experience in data science or a similar analytical role, with a focus on financial services, is highly desirable. Proven experience with various machine learning algorithms (e.g., regression, classification, clustering, deep learning) and statistical modeling techniques is required. Excellent problem-solving, critical thinking, and communication skills are vital for success in this remote role. You should be comfortable working independently and managing your workload effectively within a distributed team structure. This is a superb chance to contribute to groundbreaking projects in the financial industry, working entirely remotely from anywhere in the UK, and offering significant potential for career advancement and professional development. Our client offers a highly competitive compensation package, including a generous salary, bonuses, and comprehensive benefits. Join our client and be at the forefront of data-driven innovation in finance.
Your responsibilities will include designing, developing, and deploying machine learning models for applications such as fraud detection, risk assessment, customer segmentation, and algorithmic trading. You will collaborate closely with business stakeholders to understand their needs and translate them into data-driven solutions. This involves data collection, cleaning, and feature engineering from diverse sources. You will be responsible for validating model performance, monitoring their effectiveness in production, and continuously iterating to improve accuracy and efficiency. Strong programming skills in Python or R, proficiency with SQL, and experience with big data technologies (e.g., Spark, Hadoop) are essential. You will also be responsible for communicating complex findings and recommendations clearly and concisely to both technical and non-technical audiences.
We are looking for individuals with a Master's or PhD in a quantitative field such as Computer Science, Statistics, Mathematics, or a related discipline, or equivalent practical experience. A minimum of 5 years of professional experience in data science or a similar analytical role, with a focus on financial services, is highly desirable. Proven experience with various machine learning algorithms (e.g., regression, classification, clustering, deep learning) and statistical modeling techniques is required. Excellent problem-solving, critical thinking, and communication skills are vital for success in this remote role. You should be comfortable working independently and managing your workload effectively within a distributed team structure. This is a superb chance to contribute to groundbreaking projects in the financial industry, working entirely remotely from anywhere in the UK, and offering significant potential for career advancement and professional development. Our client offers a highly competitive compensation package, including a generous salary, bonuses, and comprehensive benefits. Join our client and be at the forefront of data-driven innovation in finance.
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6
Graduate Data Analyst - Financial Services
RG1 2 Reading, South East
£25000 Annually
WhatJobs
Posted today
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Job Description
A prominent financial services firm is offering an exciting Graduate Data Analyst internship opportunity at their Reading, Berkshire, UK office. This is an exceptional chance for bright, motivated graduates to gain hands-on experience in a fast-paced and intellectually stimulating environment. You will work closely with experienced data scientists and analysts, contributing to critical projects that shape the company's strategic decisions. Your primary focus will be on collecting, cleaning, analyzing, and interpreting large datasets to identify trends, patterns, and insights. You will develop reports and dashboards to visualize findings and communicate complex information clearly to both technical and non-technical stakeholders. This internship will provide comprehensive training in various data analysis tools and techniques, including SQL, Python, R, and data visualization software. You will have the opportunity to work on real-world business problems, applying your quantitative skills to areas such as customer behavior analysis, risk assessment, market forecasting, and operational efficiency. The ideal candidate is a recent graduate with a strong academic background in a quantitative field such as Mathematics, Statistics, Computer Science, Economics, or a related discipline. Excellent analytical and problem-solving skills are a must, along with a keen attention to detail and a proactive approach to learning. Familiarity with programming languages like Python or R is advantageous. Strong communication skills, both written and verbal, are essential for presenting findings and collaborating with team members. This internship is designed to provide a robust foundation for a successful career in data analytics within the financial sector. You will be an integral part of the team, contributing meaningfully from day one and receiving dedicated mentorship throughout your tenure. We are looking for individuals who are passionate about data and eager to make a tangible impact.
Responsibilities:
Qualifications:
Responsibilities:
- Assist in the collection, cleaning, and preprocessing of large datasets.
- Perform data analysis using statistical methods and data mining techniques.
- Develop and maintain reports, dashboards, and visualizations to communicate insights.
- Support senior analysts in ad-hoc data requests and research initiatives.
- Collaborate with various departments to understand their data needs and provide analytical support.
- Learn and apply new analytical tools and technologies.
- Contribute to data quality assurance and validation processes.
- Assist in the interpretation of results and the preparation of findings for stakeholders.
Qualifications:
- Recent graduate with a degree in Mathematics, Statistics, Computer Science, Economics, or a similar quantitative field.
- Strong analytical and quantitative skills.
- Proficiency in data manipulation and analysis techniques.
- Familiarity with programming languages such as Python or R is a plus.
- Excellent problem-solving abilities and attention to detail.
- Good written and verbal communication skills.
- Ability to work independently and as part of a team.
- Eagerness to learn and develop in a professional environment.
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7
Senior Data Scientist, Financial Services
EH1 1AA Edinburgh, Scotland
£70000 Annually
WhatJobs
Posted 2 days ago
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Job Description
This is a premier opportunity for a talented Senior Data Scientist to leverage advanced analytics and machine learning to drive innovation in the financial services sector. Our client, a prominent financial institution with a strong commitment to data-driven decision-making, is seeking an expert to join their fully remote data science team, with operations often coordinated from our offices in Edinburgh, Scotland, UK . You will be responsible for developing and implementing sophisticated statistical models and machine learning algorithms to solve complex business problems, enhance risk management, optimize trading strategies, and improve customer insights. Your role will involve working with large, diverse datasets, identifying key trends, and translating complex findings into actionable recommendations for stakeholders. Key responsibilities include designing, developing, and deploying predictive models; conducting exploratory data analysis; collaborating with business units to define data-driven solutions; and staying at the forefront of advancements in data science and AI. The ideal candidate will hold a Ph.D. or Master's degree in a quantitative field (e.g., Statistics, Computer Science, Mathematics, Physics) with substantial experience as a Data Scientist, ideally within financial services. Proven expertise in programming languages like Python or R, experience with machine learning libraries (e.g., Scikit-learn, TensorFlow), and proficiency in SQL and big data technologies (e.g., Spark, Hadoop) are essential. Strong analytical, problem-solving, and communication skills are required to effectively explain complex technical concepts to non-technical audiences. This remote position offers the chance to work on challenging projects with a high degree of autonomy and contribute significantly to the strategic direction of a leading financial services company.
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8
Senior Data Scientist - Financial Analytics
BN1 1AD East Sussex, South East
£80000 Annually
WhatJobs
Posted 4 days ago
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Job Description
Our client, a prominent player in the financial services sector, is seeking an exceptional Senior Data Scientist to join their innovative and entirely remote data science team. This is an exciting opportunity for a skilled professional to drive data-driven decision-making and develop cutting-edge analytical solutions. You will work on challenging projects from anywhere within the UK, contributing to the firm's strategic objectives.
As a Senior Data Scientist, you will be responsible for designing, developing, and deploying advanced machine learning models and statistical analyses to extract valuable insights from complex financial datasets. You will collaborate with various business units, including risk management, marketing, and operations, to identify opportunities where data science can provide significant value. This involves translating business problems into analytical frameworks and communicating findings effectively to both technical and non-technical stakeholders.
Key responsibilities include leading the full lifecycle of data science projects, from data acquisition and cleaning to model building, validation, and deployment. You will conduct exploratory data analysis, identify key drivers, and build predictive models for areas such as customer behaviour, fraud detection, and market trends. Researching and implementing new machine learning algorithms and data mining techniques will be a core part of the role. You will also contribute to the development of data infrastructure and pipelines, ensuring data quality and accessibility. Strong programming skills in Python or R, along with expertise in SQL and experience with big data technologies (e.g., Spark, Hadoop), are essential. You will mentor junior data scientists and contribute to best practices within the team.
We are looking for a candidate with a Master's or Ph.D. in a quantitative discipline such as Computer Science, Statistics, Mathematics, or a related field. A minimum of 5 years of experience in data science, with a strong focus on financial services or analytics, is required. Proven experience in building and deploying machine learning models in a production environment is essential. Expertise in statistical modeling, data mining, and machine learning algorithms (e.g., regression, classification, clustering, deep learning) is critical. Excellent data visualization skills and experience with tools like Tableau or Power BI are highly desirable. Exceptional problem-solving and analytical skills, coupled with strong communication and presentation abilities, are a must. This is a remote position, requiring strong self-motivation, organizational skills, and the ability to thrive in a collaborative virtual environment.
As a Senior Data Scientist, you will be responsible for designing, developing, and deploying advanced machine learning models and statistical analyses to extract valuable insights from complex financial datasets. You will collaborate with various business units, including risk management, marketing, and operations, to identify opportunities where data science can provide significant value. This involves translating business problems into analytical frameworks and communicating findings effectively to both technical and non-technical stakeholders.
Key responsibilities include leading the full lifecycle of data science projects, from data acquisition and cleaning to model building, validation, and deployment. You will conduct exploratory data analysis, identify key drivers, and build predictive models for areas such as customer behaviour, fraud detection, and market trends. Researching and implementing new machine learning algorithms and data mining techniques will be a core part of the role. You will also contribute to the development of data infrastructure and pipelines, ensuring data quality and accessibility. Strong programming skills in Python or R, along with expertise in SQL and experience with big data technologies (e.g., Spark, Hadoop), are essential. You will mentor junior data scientists and contribute to best practices within the team.
We are looking for a candidate with a Master's or Ph.D. in a quantitative discipline such as Computer Science, Statistics, Mathematics, or a related field. A minimum of 5 years of experience in data science, with a strong focus on financial services or analytics, is required. Proven experience in building and deploying machine learning models in a production environment is essential. Expertise in statistical modeling, data mining, and machine learning algorithms (e.g., regression, classification, clustering, deep learning) is critical. Excellent data visualization skills and experience with tools like Tableau or Power BI are highly desirable. Exceptional problem-solving and analytical skills, coupled with strong communication and presentation abilities, are a must. This is a remote position, requiring strong self-motivation, organizational skills, and the ability to thrive in a collaborative virtual environment.
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