387 Financial Analytics jobs in the United Kingdom
Junior Data Analyst - Financial Analytics
SW1A 0AA London, London
£25000 annum (pro
WhatJobs
Posted 4 days ago
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Job Description
Our client, a leading financial services firm, is looking for an enthusiastic and detail-oriented Junior Data Analyst to join their dynamic team. This internship role, based in London , offers an invaluable opportunity to gain hands-on experience in financial data analysis, reporting, and insights generation. You will work alongside experienced professionals, contributing to critical business decisions through data-driven recommendations.
Key Responsibilities:
Key Responsibilities:
- Assist in the collection, cleaning, and validation of large datasets from various financial sources.
- Perform data analysis to identify trends, patterns, and anomalies within financial data.
- Support the development and generation of regular and ad-hoc reports and dashboards.
- Help create visualizations that effectively communicate data insights to stakeholders.
- Collaborate with senior analysts and other team members to understand data requirements and deliver meaningful results.
- Learn and apply statistical techniques and data modelling principles.
- Assist in the maintenance and improvement of data quality and integrity.
- Contribute to the documentation of data processes and analytical methodologies.
- Stay abreast of new tools and techniques in data analysis and financial modelling.
- Gain exposure to different areas of the financial services industry through data analysis projects.
- Currently pursuing or recently completed a Bachelor's or Master's degree in Finance, Economics, Statistics, Mathematics, Computer Science, or a related quantitative field.
- Strong analytical and problem-solving skills with a keen eye for detail.
- Proficiency in Microsoft Excel, including advanced functions (e.g., Pivot Tables, VLOOKUP).
- Familiarity with SQL for data extraction and manipulation is a strong advantage.
- Exposure to data visualization tools (e.g., Tableau, Power BI) is a plus.
- Basic understanding of financial markets and concepts.
- Excellent written and verbal communication skills.
- Ability to work independently and as part of a team in a remote or hybrid environment.
- Eagerness to learn and develop skills in data analysis and financial analytics.
- Must be legally eligible to work in the UK .
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Senior Data Scientist - Financial Analytics
CV1 1GD Coventry, West Midlands
£75000 Annually
WhatJobs
Posted 10 days ago
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Job Description
Our client, a leading financial services firm, is seeking a highly skilled Senior Data Scientist to join their innovative analytics team. This is a fully remote position, offering the flexibility to work from your home office and contribute to sophisticated financial modeling and analysis. You will leverage advanced statistical techniques, machine learning, and big data technologies to derive actionable insights from complex financial datasets. The ideal candidate will possess a strong quantitative background, extensive experience in data science, and a deep understanding of financial markets and instruments.
Key Responsibilities:
Key Responsibilities:
- Develop and implement advanced statistical models and machine learning algorithms for financial forecasting, risk management, fraud detection, and algorithmic trading.
- Analyze large, complex datasets to identify trends, patterns, and insights related to market behavior, customer transactions, and portfolio performance.
- Design and conduct A/B tests and other experiments to evaluate the effectiveness of models and strategies.
- Collaborate with quantitative analysts, portfolio managers, and business stakeholders to understand their analytical needs and translate them into data science solutions.
- Build and maintain data pipelines, ensuring data quality and integrity for analytical purposes.
- Communicate complex analytical findings and recommendations clearly and concisely to both technical and non-technical audiences.
- Stay abreast of the latest advancements in data science, machine learning, and financial analytics.
- Develop and mentor junior data scientists and analysts.
- Contribute to the strategic direction of data science initiatives within the firm.
- Ensure all analytical work adheres to regulatory requirements and internal compliance policies.
- Master's or Ph.D. in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
- 5+ years of experience in data science or quantitative analysis, with a strong focus on financial applications.
- Proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch, Pandas, NumPy).
- Expertise in SQL and experience working with large-scale databases (e.g., SQL, NoSQL).
- Experience with big data technologies such as Spark, Hadoop, or cloud-based platforms (AWS, Azure, GCP).
- Strong understanding of financial markets, investment strategies, and risk management principles.
- Excellent analytical, problem-solving, and critical thinking skills.
- Exceptional communication and presentation skills.
- Demonstrated ability to work effectively independently and collaboratively in a fully remote team environment.
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1
Senior Data Scientist - Financial Analytics
BN1 1AD East Sussex, South East
£80000 Annually
WhatJobs
Posted 16 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.
This advertiser has chosen not to accept applicants from your region.
2
Senior Data Scientist - Financial Analytics
DE1 1QQ Derby, East Midlands
£70000 Annually
WhatJobs
Posted 17 days ago
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Job Description
Our client, a leading financial services institution, is seeking a highly analytical and experienced Senior Data Scientist specializing in Financial Analytics to join their team in Derby, Derbyshire, UK . This role will leverage advanced statistical modeling, machine learning techniques, and data mining to uncover insights, drive strategic decisions, and develop innovative financial products. The ideal candidate will possess a strong quantitative background, exceptional problem-solving abilities, and a proven track record in applying data science to complex financial challenges.
Key Responsibilities:
Key Responsibilities:
- Develop and implement sophisticated predictive models for credit risk assessment, fraud detection, market prediction, and customer behavior analysis.
- Utilize machine learning algorithms (e.g., regression, classification, clustering, time-series analysis, deep learning) to solve critical business problems.
- Conduct in-depth exploratory data analysis to identify trends, patterns, and actionable insights from large, complex financial datasets.
- Design and execute A/B tests and other experiments to measure the impact of new initiatives and model improvements.
- Collaborate closely with business stakeholders, including product managers, risk officers, and marketing teams, to understand their needs and translate them into data-driven solutions.
- Develop and deploy data science models into production environments, working with engineering teams to ensure scalability and reliability.
- Communicate complex analytical findings and recommendations clearly and concisely to both technical and non-technical audiences through reports and presentations.
- Stay abreast of the latest advancements in data science, machine learning, and financial technology.
- Mentor junior data scientists and contribute to the development of the data science practice within the organization.
- Ensure adherence to data privacy regulations and ethical considerations in all analytical work.
- Master's or Ph.D. in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
- Minimum of 5 years of experience as a Data Scientist, with a significant focus on financial services or quantitative finance.
- Strong proficiency in programming languages such as Python or R, and experience with data science libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch).
- Expertise in SQL and experience working with large-scale databases.
- Solid understanding of statistical modeling, machine learning techniques, and experimental design.
- Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain complex concepts to diverse audiences.
- Experience in cloud environments (e.g., AWS, Azure) is advantageous.
This advertiser has chosen not to accept applicants from your region.
3
Lead Data Scientist - Financial Analytics
CF10 1EU Cardiff, Wales
£75000 Annually
WhatJobs
Posted 18 days ago
Job Viewed
Job Description
Our client is seeking a highly accomplished and strategic Lead Data Scientist to drive their financial analytics initiatives. This is a fully remote position, offering the flexibility to work from anywhere in the UK and contribute to critical business decisions.
The Lead Data Scientist will be responsible for developing and implementing advanced analytical models to extract actionable insights from complex financial datasets. You will lead a team of data scientists, mentor junior members, and collaborate closely with stakeholders across finance, risk, and business operations to identify key business challenges and opportunities. This role requires a deep understanding of statistical modeling, machine learning techniques, data visualization, and a strong business acumen, particularly within the financial services sector. Your expertise will be crucial in informing strategic planning, improving operational efficiency, and enhancing financial performance.
Key Responsibilities:
The Lead Data Scientist will be responsible for developing and implementing advanced analytical models to extract actionable insights from complex financial datasets. You will lead a team of data scientists, mentor junior members, and collaborate closely with stakeholders across finance, risk, and business operations to identify key business challenges and opportunities. This role requires a deep understanding of statistical modeling, machine learning techniques, data visualization, and a strong business acumen, particularly within the financial services sector. Your expertise will be crucial in informing strategic planning, improving operational efficiency, and enhancing financial performance.
Key Responsibilities:
- Lead the design, development, and implementation of sophisticated analytical models (e.g., predictive, prescriptive) for financial forecasting, risk assessment, and performance optimization.
- Manage and mentor a team of data scientists, guiding their technical development and project execution.
- Collaborate with finance, risk, and business stakeholders to define analytical requirements and translate business problems into data science solutions.
- Extract, clean, and transform large, complex financial datasets from various sources.
- Apply advanced machine learning algorithms, statistical methods, and data mining techniques.
- Develop and maintain robust data pipelines and ensure data quality and integrity.
- Create compelling data visualizations and dashboards to communicate complex findings clearly and effectively to both technical and non-technical audiences.
- Stay abreast of the latest advancements in data science, machine learning, and artificial intelligence.
- Contribute to the strategic direction of data analytics within the organization.
- Ensure ethical considerations and data privacy are paramount in all analytical work.
- Master's or PhD in Data Science, Statistics, Computer Science, Economics, or a related quantitative field.
- Minimum of 7 years of experience in data science, with at least 3 years in a leadership or senior role, preferably within financial services.
- Proven experience in developing and deploying machine learning models in a production environment.
- Proficiency in programming languages such as Python or R, and experience with data manipulation libraries (e.g., Pandas, NumPy).
- Strong knowledge of SQL and experience working with relational and non-relational databases.
- Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
- Excellent understanding of statistical modeling, hypothesis testing, and experimental design.
- Strong data visualization skills using tools like Tableau, Power BI, or Matplotlib/Seaborn.
- Exceptional problem-solving, analytical, and critical thinking abilities.
- Outstanding communication and interpersonal skills, with the ability to influence stakeholders and lead a team effectively in a remote setting.
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4
Senior Data Scientist - Financial Analytics
CV1 1AA Coventry, West Midlands
£70000 Annually
WhatJobs
Posted 20 days ago
Job Viewed
Job Description
Our client, a leading innovator in the financial technology sector, is seeking a highly analytical and experienced Senior Data Scientist to join their fully remote team. This role is central to driving data-driven decision-making across the organisation, with a specific focus on financial analytics, risk modelling, and predictive insights. You will leverage advanced statistical techniques, machine learning algorithms, and large datasets to uncover actionable patterns, develop sophisticated models, and provide critical intelligence to key business stakeholders. This is a remote-first opportunity, offering the freedom to contribute your expertise from anywhere in the UK.
Key Responsibilities:
Key Responsibilities:
- Design, develop, and implement advanced statistical models and machine learning algorithms to address complex financial challenges, including fraud detection, credit risk assessment, and market forecasting.
- Extract, clean, and transform large, complex datasets from various sources to prepare them for analysis.
- Collaborate closely with product managers, engineers, and business analysts to define analytical requirements and deliver impactful data-driven solutions.
- Interpret complex data findings and communicate them clearly and concisely to technical and non-technical audiences through visualizations, reports, and presentations.
- Identify key business questions and develop analytical approaches to answer them, driving strategic insights and recommendations.
- Stay abreast of the latest advancements in data science, machine learning, and financial analytics, applying new techniques where appropriate.
- Mentor junior data scientists and contribute to the development of best practices within the data science team.
- Develop and maintain robust data pipelines and ensure the quality and integrity of analytical outputs.
- Contribute to the strategic vision for data analytics and its role in the company's growth.
- Participate in code reviews and ensure the development of well-documented, production-ready code.
- MSc or PhD in a quantitative field such as Data Science, Statistics, Computer Science, Economics, or Mathematics.
- A minimum of 5 years of experience as a Data Scientist, with a strong focus on financial analytics and modelling.
- Proven expertise in statistical modelling, machine learning techniques (e.g., regression, classification, clustering, deep learning), and experimental design.
- Proficiency in programming languages commonly used in data science, such as Python or R, and associated libraries (e.g., scikit-learn, TensorFlow, PyTorch, Pandas).
- Experience with SQL and working with large relational databases.
- Familiarity with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP) is a plus.
- Strong analytical and problem-solving skills, with a keen eye for detail.
- Excellent communication and presentation skills, with the ability to explain complex technical concepts effectively.
- Ability to work independently, manage multiple projects, and thrive in a fast-paced, remote environment.
This advertiser has chosen not to accept applicants from your region.
5
Graduate Data Scientist - Financial Analytics
EH2 0SU Edinburgh, Scotland
£30000 Annually
WhatJobs
Posted 20 days ago
Job Viewed
Job Description
Our client is offering a fantastic opportunity for ambitious graduates to kickstart their career in financial analytics. This role is based in Edinburgh, Scotland, UK , with a hybrid working model that blends remote flexibility with in-office collaboration. You will be part of a team dedicated to uncovering insights from vast datasets to inform strategic financial decisions. This position is designed for individuals with a strong quantitative background and a passion for data-driven problem-solving.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Assist in the collection, cleaning, and preprocessing of financial data from various sources.
- Develop and implement statistical models and machine learning algorithms for financial forecasting and risk assessment.
- Conduct exploratory data analysis to identify trends, patterns, and anomalies.
- Generate reports and visualizations to communicate findings to business stakeholders.
- Collaborate with senior data scientists and analysts on ongoing projects.
- Support the development and maintenance of data pipelines and analytical tools.
- Stay updated with the latest developments in data science and financial technology.
Qualifications:
- A recent graduate with a degree in Data Science, Statistics, Mathematics, Economics, Computer Science, or a related quantitative field.
- Strong understanding of statistical concepts and machine learning techniques.
- Proficiency in programming languages such as Python or R.
- Experience with data visualization tools (e.g., Tableau, Power BI) is a plus.
- Excellent analytical and problem-solving skills.
- Strong communication and interpersonal abilities.
- Enthusiasm for the financial services industry and a willingness to learn.
This advertiser has chosen not to accept applicants from your region.
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Senior Data Scientist - Financial Analytics
M1 1AA Manchester, North West
£70000 Annually
WhatJobs
Posted 20 days ago
Job Viewed
Job Description
Our client, a prominent financial services institution, is seeking a highly skilled Senior Data Scientist specializing in Financial Analytics to join our fully remote data science team. This role is pivotal in leveraging advanced analytics, machine learning, and statistical modeling to drive business decisions, optimize financial strategies, and enhance risk management within the organisation. You will work with complex financial datasets, develop predictive models, and communicate actionable insights to stakeholders across the business. This is an exciting opportunity to contribute to critical financial initiatives, working autonomously and collaborating with a talented, globally distributed team.
Responsibilities:
Qualifications:
Responsibilities:
- Develop and implement sophisticated statistical models and machine learning algorithms to address key financial challenges, such as fraud detection, credit risk assessment, algorithmic trading, and customer lifetime value prediction.
- Clean, process, and analyse large, complex financial datasets to extract meaningful insights.
- Design and execute A/B tests and other experiments to evaluate the effectiveness of financial models and strategies.
- Collaborate with finance, risk management, and business intelligence teams to understand their analytical needs and deliver impactful solutions.
- Communicate complex analytical findings and recommendations clearly and concisely to both technical and non-technical audiences through reports and presentations.
- Stay up-to-date with the latest advancements in data science, machine learning, and financial analytics techniques.
- Mentor junior data scientists and contribute to the development of best practices within the data science team.
- Develop and maintain data pipelines and analytical infrastructure to support ongoing analysis and model deployment.
- Contribute to the strategic direction of data analytics within the financial services domain.
- Ensure compliance with all relevant financial regulations and data privacy standards.
Qualifications:
- Master's or Ph.D. in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, or a related discipline.
- Minimum of 5 years of experience as a Data Scientist, with a strong focus on financial analytics and modeling.
- Proficiency in programming languages commonly used in data science, such as Python or R, and associated libraries (e.g., Pandas, Scikit-learn, TensorFlow, PyTorch).
- Experience with SQL and working with large datasets in relational databases.
- Strong understanding of statistical concepts, machine learning algorithms, and their application to financial problems.
- Experience with data visualization tools (e.g., Tableau, Power BI) is a plus.
- Excellent problem-solving, critical thinking, and analytical skills.
- Superb communication and interpersonal skills, with the ability to explain complex concepts to diverse audiences.
- Experience working effectively in a remote, collaborative environment.
- Knowledge of financial markets, instruments, and regulations is highly desirable.
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7
Senior Data Scientist, Financial Analytics (Remote)
CB23 8AA Cambridge, Eastern
£70000 Annually
WhatJobs
Posted today
Job Viewed
Job Description
Our client, a rapidly growing fintech company, is looking for a highly analytical and experienced Senior Data Scientist to join their team and drive insights from complex financial datasets. This fully remote position offers the opportunity to work on cutting-edge projects, develop predictive models, and influence strategic decision-making within the financial services sector. You will be instrumental in leveraging data to uncover trends, identify opportunities, and mitigate risks for the company and its clients. The role requires a deep understanding of statistical modelling, machine learning, and data visualization techniques.
Key Responsibilities:
The ideal candidate will have a Master's or PhD in a quantitative field such as Computer Science, Statistics, Mathematics, Economics, or a related discipline. A minimum of 5 years of experience in data science, with a strong focus on financial data and modelling, is required. Proficiency in programming languages like Python or R, along with experience in SQL and big data technologies (e.g., Spark, Hadoop), is essential. Demonstrated experience with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch) and cloud platforms (e.g., AWS, Azure, GCP) is highly desirable. Excellent analytical, problem-solving, and communication skills are crucial for success in this remote role. This is a remote-first position, offering maximum flexibility for the successful candidate.
Key Responsibilities:
- Design, develop, and implement advanced statistical models and machine learning algorithms to analyse large financial datasets.
- Extract, clean, and transform data from various sources, ensuring data integrity and accuracy.
- Identify key business questions and formulate data-driven hypotheses.
- Develop predictive models for areas such as risk assessment, fraud detection, customer behaviour, and market forecasting.
- Create compelling data visualizations and dashboards to communicate complex findings to both technical and non-technical stakeholders.
- Collaborate with engineering and product teams to integrate data science solutions into production systems.
- Conduct A/B testing and other experimental designs to evaluate the impact of new features or strategies.
- Stay current with the latest research and advancements in data science, machine learning, and artificial intelligence.
- Mentor junior data scientists and contribute to the development of best practices within the team.
- Present findings and recommendations to senior management and key stakeholders.
- Contribute to the development of the company's data strategy and roadmap.
The ideal candidate will have a Master's or PhD in a quantitative field such as Computer Science, Statistics, Mathematics, Economics, or a related discipline. A minimum of 5 years of experience in data science, with a strong focus on financial data and modelling, is required. Proficiency in programming languages like Python or R, along with experience in SQL and big data technologies (e.g., Spark, Hadoop), is essential. Demonstrated experience with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch) and cloud platforms (e.g., AWS, Azure, GCP) is highly desirable. Excellent analytical, problem-solving, and communication skills are crucial for success in this remote role. This is a remote-first position, offering maximum flexibility for the successful candidate.
This advertiser has chosen not to accept applicants from your region.
8
Remote Lead Data Scientist - Financial Analytics
NR3 1DX Norwich, Eastern
£80000 Annually
WhatJobs
Posted 20 days ago
Job Viewed
Job Description
Our client, a pioneering fintech firm, is seeking an accomplished Lead Data Scientist to spearhead their financial analytics initiatives. This is a fully remote position offering the chance to leverage cutting-edge machine learning techniques and advanced statistical modelling to drive strategic decision-making within the financial services sector. You will be responsible for leading a team of talented data scientists, architecting scalable data solutions, and developing predictive models that optimise trading strategies, mitigate risk, and enhance customer insights.
Your core responsibilities will involve designing and implementing sophisticated analytical frameworks, exploring vast datasets to uncover actionable patterns, and translating complex findings into clear, concise recommendations for business stakeholders. You will play a crucial role in developing models for fraud detection, credit risk assessment, algorithmic trading, and customer segmentation. The ideal candidate will possess a strong theoretical foundation in machine learning, statistics, and econometrics, combined with practical experience in applying these principles to real-world financial challenges. Proficiency in programming languages such as Python or R, and experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP) are essential. You will also be expected to mentor junior team members, foster a culture of innovation, and stay abreast of the latest advancements in data science and financial technology. This role requires excellent communication skills, the ability to articulate complex technical concepts to non-technical audiences, and a proactive, results-oriented approach. As a remote employee, you must demonstrate strong self-management skills, a commitment to collaboration, and the ability to contribute effectively within a distributed team environment.
Key Responsibilities:
Qualifications:
Your core responsibilities will involve designing and implementing sophisticated analytical frameworks, exploring vast datasets to uncover actionable patterns, and translating complex findings into clear, concise recommendations for business stakeholders. You will play a crucial role in developing models for fraud detection, credit risk assessment, algorithmic trading, and customer segmentation. The ideal candidate will possess a strong theoretical foundation in machine learning, statistics, and econometrics, combined with practical experience in applying these principles to real-world financial challenges. Proficiency in programming languages such as Python or R, and experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP) are essential. You will also be expected to mentor junior team members, foster a culture of innovation, and stay abreast of the latest advancements in data science and financial technology. This role requires excellent communication skills, the ability to articulate complex technical concepts to non-technical audiences, and a proactive, results-oriented approach. As a remote employee, you must demonstrate strong self-management skills, a commitment to collaboration, and the ability to contribute effectively within a distributed team environment.
Key Responsibilities:
- Lead and mentor a team of data scientists in developing advanced analytical models.
- Design, build, and deploy machine learning models for financial forecasting, risk management, and fraud detection.
- Extract, clean, and analyse large, complex datasets from various financial sources.
- Develop and implement strategies for data acquisition and infrastructure optimisation.
- Collaborate with product and engineering teams to integrate data-driven insights into solutions.
- Present complex findings and strategic recommendations to senior management and stakeholders.
- Stay current with industry trends, research, and best practices in data science and fintech.
- Drive innovation by exploring new analytical techniques and technologies.
- Ensure the ethical and responsible use of data and AI models.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Statistics, Mathematics, Economics, or a related quantitative field.
- 8+ years of professional experience in data science, with a significant focus on financial services.
- Proven experience in leading data science teams and projects.
- Expertise in machine learning algorithms (e.g., regression, classification, clustering, deep learning).
- Proficiency in Python or R, and experience with relevant data science libraries (e.g., scikit-learn, TensorFlow, PyTorch).
- Experience with big data technologies (e.g., Spark, SQL, NoSQL databases) and cloud environments.
- Strong understanding of financial markets and quantitative finance principles.
- Excellent problem-solving, analytical, and communication skills.
This advertiser has chosen not to accept applicants from your region.
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