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Python jobs in United Kingdom

Associate, Data Analytics

Blaxkrock

Greater London
Hybrid
GBP 40,000 - 60,000
21 days ago
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Doctoral (PhD) position in “Life-cycle sustainability assessment of alternative feeds in Europe[...]

University of Reading

United Kingdom
On-site
GBP 30,000 - 40,000
21 days ago

Senior Quantitative Risk Manager – Model Risk & Validation

Intercontinental Exchange (ICE)

Greater London
On-site
GBP 70,000 - 100,000
21 days ago

Senior Manager, Risk Management

Intercontinental Exchange (ICE)

Greater London
On-site
GBP 70,000 - 100,000
21 days ago

Cloud Security Engineer (UK)

Atreides Caseri Inc.

England
Hybrid
GBP 60,000 - 80,000
21 days ago
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Senior Technical Support Engineer - L3

EXL

Park Central
Hybrid
GBP 45,000 - 65,000
21 days ago

Graduate Web Developer - Glasgow

Solar Careers UK

Glasgow
On-site
GBP 38,000
21 days ago

Crypto Quant Trader - Arbitrage & Market Making Expert

GOLDDEN VALLEY CAPITAL MANAGEMENT PTE. LTD.

Greater London
On-site
GBP 80,000 - 100,000
21 days ago
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Crypto Quant Trader (Arbitrage & Market Making)

GOLDDEN VALLEY CAPITAL MANAGEMENT PTE. LTD.

Greater London
On-site
GBP 80,000 - 100,000
21 days ago

Manager - Working Capital - London

Ernst & Young Advisory Services Sdn Bhd

City Of London
On-site
GBP 60,000 - 90,000
21 days ago

Data Scientist

Propel

Greater London
On-site
GBP 50,000
21 days ago

Senior Wastewater Modeller

Egis Group

Manchester
On-site
GBP 35,000 - 50,000
21 days ago

Senior Lead Software Engineer - Data Engineer - Credit Technology

JPMorgan Chase & Co.

Greater London
On-site
GBP 85,000 - 110,000
21 days ago

Lead Data Engineer: AWS, DataOps & Platform Migration

AND Digital

Greater London
Hybrid
GBP 70,000 - 90,000
21 days ago

Product Manager

Scale AI

Greater London
On-site
GBP 70,000 - 90,000
21 days ago

Hardware Engineer - Electronics

Bosch Group

Stowmarket
On-site
GBP 80,000 - 100,000
21 days ago

Senior MLOps Engineer: Scale GPU ML Pipelines

Rivian

United Kingdom
Remote
GBP 70,000 - 90,000
21 days ago

Head of Software Engineering - Personalisation

Marks & Spencer

United Kingdom
On-site
GBP 90,000 - 120,000
21 days ago

Senior Software Engineer, MLOps (Autonomy)

Rivian

United Kingdom
On-site
GBP 70,000 - 90,000
21 days ago

Data Platform Engineer

bet365

Stoke-on-Trent
On-site
GBP 80,000 - 100,000
21 days ago

Analyst, Global Streaming Product Analytics

NBCUniversal

Greater London
On-site
GBP 30,000 - 45,000
21 days ago

Senior Software Engineer

CBSbutler Ltd.

Romsey
On-site
GBP 60,000 - 80,000
21 days ago

Senior ML Ops Engineer

Hastings Direct

Greater London
Hybrid
GBP 65,000 - 85,000
21 days ago

KDB+ Senior Lead Software Engineer - Vice President

JPMorgan Chase & Co.

Greater London
On-site
GBP 85,000 - 110,000
21 days ago

Lead Software Engineer - Platform - Observability

JPMorgan Chase & Co.

Greater London
On-site
GBP 70,000 - 90,000
21 days ago

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Associate Data Analytics
Blaxkrock
Greater London
Hybrid
GBP 40,000 - 60,000
Full time
21 days ago

Job summary

A global investment firm based in London is seeking a Data Analytics Associate to enhance audit processes through advanced data analytics. This role involves collaborating with various business and technology teams, developing tools, and proposing innovative audit testing methods. Ideal candidates will possess a degree in a quantitative field and experience with SQL and programming languages. The firm offers a hybrid work model alongside a range of benefits aimed at ensuring employee well-being and development.

Benefits

Education reimbursement
Flexible Time Off
Health and well-being resources

Qualifications

  • 1–3 years of experience in data analytics and/or audit.
  • Ability to quickly learn business processes, risks, and controls.
  • Strong interpersonal and communication skills.

Responsibilities

  • Engage with business and technology teams to support audit goals.
  • Develop code for audit tests and tools.
  • Propose creative approaches to audit testing.

Skills

Strong SQL skills
Programming experience in Python or R
Experience with Business Intelligence tools
Team player
Attention to detail

Education

Bachelor’s or Master’s degree in information systems, data analytics, data science, computer science, economics, risk management

Tools

Power BI
Tableau
Azure Dev Ops
JIRA
Job description
About This Role

Internal Audit’s primary mission is to provide assurance to the Board of Directors and Executive Management that BlackRock’s businesses are well managed and meeting strategic, operational and risk management objectives. The team engages with senior leaders and all of BlackRock’s individual business units globally to understand and advise on the risks in their business, evaluate the effectiveness of key processes and assist in the design of best practices that can improve their results. Internal Audit reports directly to the Audit Committee of the Board of Directors, and our work builds confidence that BlackRock will meet its obligations to clients, shareholders, employees and other stakeholders.

Data Analytics

The Data Analytics (DA) team leverages various data science, business intelligence, and analytical methods to assess BlackRock’s control environment. DA team members may design and perform certain testing as part of audits of BlackRock business units and technology controls across application systems and infrastructure components. The DA team is also responsible for building and maintaining an inventory of self‑service tools for the auditors, supporting the risk assessment of auditable units for the annual planning process, and assisting the development of timely and accurate Internal Audit management information.

London

The London office, located in the heart of the City of London, serves as BlackRock's EMEA headquarters and is home to over 3,200 employees. It plays a crucial role in the firm's global operations, supporting various business units including Investment Management, Sales, Trading, Client Business, Risk Management, Operations, Finance, and Legal and Compliance.

Data Analytics Associate Responsibilities & Qualifications
What This Role Offers
  • Opportunity to influence audit effectiveness through modern data analytics.
  • Exposure to diverse business areas (investments, operations, technology, risk).
  • A learning‑driven environment with access to advanced analytics tools and training.
  • Career progression toward senior analysts, data scientist or regional audit DA lead.
Role Description
  • The DA Associate will engage collaboratively with business & technology teams, internal risk partners and with IT teams to support the goals of Internal Audit.
  • Our DA team is looking for an analytical self‑starter, eager to learn new technologies and work with others to deploy and explain them. We value creativity and encourage our team members to challenge the status quo of how audits and audit testing used to be performed.
  • Successful DA team members embrace a fast‑paced environment and add value to the performance of audits by working alongside audit teams and by helping to evolve our audit processes, tools and methodologies.
Specific Responsibilities Will Include
  • Develop code to execute audit tests, build tools, and/or execute data centric activities supporting the department and ensure that all code is properly documented and maintained.
  • Contribute to the strategic development of the DA program including the design and implementation of tools and technologies, development, delivery, and distribution of data analytics presentations, training, and methodology.
  • Propose alternative and creative approaches to audit testing, leveraging technology to either gain efficiencies or provide additional coverage.
  • Facilitate discussions with audit stakeholders and demonstrate quick understanding of risk, controls and the data analytics solutions that can be offered to support audit objectives.
  • Participate in short term data analysis activities aimed at supporting audit delivery and/or other ad‑hoc requests including closure verification of issues, regulatory inquiries, strategic initiatives.
  • Networking to cultivate strong relationships with firm‑wide partners to ensure successful analytic activities such as retrieval of new data sets, learning technology architecture, troubleshooting, etc.
Qualifications
  • Bachelor’s or Master’s degree in information systems, data analytics, data science, computer science, economics, risk management or another quantitative related field
  • 1–3 years of experience in data analytics and/or audit, risk management function, preferably within the wealth management/asset management/banking industry.
  • Strong SQL skills required, along with programming experience in Python or R, experience of any other scripting languages (VBA, PowerShell, etc.).
  • Working experience of any Business Intelligence tool (Power BI, Tableau) is preferred.
  • Experience with both structured and unstructured data as well as familiarity with cloud data environments (AWS, Azure, GCP, Snowflake), Extract Transform and Load (ETL). Hands‑on experience in techniques like text analytics, web scraping, Selenium, N‑Gram analysis, Sentiment Analysis, etc. is preferred.
  • This professional needs to have a strong understanding/ability to quickly learn of business processes, risks, and controls to enhance audit efficiencies and effectiveness through the development and delivery of audit data analytics.
  • Awareness of development life cycle and tools like Azure Dev Ops and JIRA.
  • Team player with project management skills, delivered timely high‑quality results and have attention to detail along with analytical and problem‑solving skills.
  • Strong interpersonal and communication skills (verbal, written, and listening).
Our Benefits

To help you stay energized, engaged and inspired, we offer a wide range of employee benefits including: retirement investment and tools designed to help you in building a sound financial future; access to education reimbursement; comprehensive resources to support your physical health and emotional well‑being; family support programs; and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.

Our Hybrid Work Model

BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.

About BlackRock

At BlackRock, we are all connected by one mission: to help more and more people experience financial well‑being. Our clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.

This mission would not be possible without our smartest investment – the one we make in our employees. It’s why we’re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive.

BlackRock is proud to be an Equal Opportunity Employer. We evaluate qualified applicants without regard to age, disability, race, religion, sex, sexual orientation and other protected characteristics at law.

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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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