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- Tasks: Join us as a Model Governance Analyst, focusing on model tuning and governance.
- Company: Interactive Brokers is a leading online broker with global trading access.
- Benefits: Enjoy hybrid working, career support, performance bonuses, and health plans.
- Why this job: Be part of a dynamic team impacting financial crime analysis and model risk management.
- Qualifications: Bachelor's or master's in computer science; 2+ years in model development and validation required.
- Other info: Work in a diverse and inclusive environment at our London office.
The predicted salary is between 36000 - 60000 £ per year.
Responsibilities:
- Develop and update model tuning plans.
- Maintain model governance framework and keep all supporting documentation up to date.
- Interact with key model governance and other leadership stakeholders across Interactive Brokers around model risk during all model lifecycle stages to ensure effective governance and oversight of model identification, development, use, and evaluation processes.
- Assess model documentation, including development, monitoring, and implementation documentation, for completeness against program standards and templates.
- Perform qualitative and quantitative analysis of financial crime data.
- Develop codes to perform data analyses using Python and SQL.
- Perform UAT testing of model changes.
- Conduct testing and tuning for AML and Trade Surveillance Reports/Models.
- Validate algorithm and programming logic in Python, SQL, and Java.
- Support maintenance of documentation related to tuning reports, schedules, and data analyses.
The ideal candidate will have some regulatory compliance experience working for an exchange, a regulatory organization, a Broker Dealer (BD), a Futures Commission Merchant (FCM), or a similar organization.
Qualifications & Skills:
- Bachelor's or master's degree in computer science or related field.
- Experience in documentation, PowerPoint presentations, and Excel with strong analytical skills.
- Minimum two years of relevant experience developing, testing, tuning, and validating models at financial institutions.
- Minimum of two years of experience in relational databases (Oracle).
- Experience with Python or similar scripting languages.
- Knowledge of model risk related to AML, Sanctions, and Market Manipulation.
Location: 20 Fenchurch Street, London, EC3M 3BY
Benefits:
- Career support and development
- Salary commensurate with experience
- Performance-based discretionary cash bonus scheme
- Discretionary stock grant
- Group Life Assurance cover
- Group Income Protection
- Occupation pension scheme based on Gross earnings
- Hybrid working model
- Above statutory annual leave, increasing with service
- Daily company-paid lunch and healthy snack options throughout the day (when working from the office)
- Access to Private Medical Insurance, Dental Plan, and Health Cash Plan (including dependants)*
- Corporate events
- Travel season ticket loans
- Cycle to work scheme
*on successful completion of the probation period
Interactive Brokers is an Equal Opportunity Employer committed to offering employees a diverse, equitable, and inclusive workplace. If you have what it takes to become part of our London office team, please apply today!
Interactive Brokers (UK) values promoting, monitoring, implementing best practices, policies, procedures, and culture in adhering to and promoting the FCA Consumer Duty within the organization.
Model Governance Analyst (Data Scientist) employer: Interactive Brokers
Contact Detail:
Interactive Brokers Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Model Governance Analyst (Data Scientist)
✨Tip Number 1
Familiarise yourself with the model governance framework and regulatory compliance standards relevant to financial institutions. Understanding these concepts will help you engage effectively with stakeholders during interviews.
✨Tip Number 2
Brush up on your Python and SQL skills, as these are crucial for the role. Consider working on personal projects or contributing to open-source projects that involve data analysis to showcase your coding abilities.
✨Tip Number 3
Network with professionals in the financial services sector, especially those involved in model governance and risk management. Attend industry events or webinars to make connections that could lead to valuable insights or referrals.
✨Tip Number 4
Prepare to discuss your experience with model validation and tuning in detail. Be ready to provide examples of how you've applied qualitative and quantitative analysis in previous roles, as this will demonstrate your expertise to potential employers.
We think you need these skills to ace Model Governance Analyst (Data Scientist)
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and qualifications required for the Model Governance Analyst position. Tailor your application to highlight relevant experiences that align with the job description.
Highlight Relevant Experience: In your CV and cover letter, emphasise your experience in model development, testing, and validation, especially within financial institutions. Mention any specific projects or achievements that demonstrate your analytical skills and familiarity with Python, SQL, and model risk.
Craft a Strong Cover Letter: Write a compelling cover letter that not only outlines your qualifications but also expresses your enthusiasm for the role and the company. Make sure to mention your understanding of regulatory compliance and how it relates to the position.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial for a role that involves documentation and analysis.
How to prepare for a job interview at Interactive Brokers
✨Understand Model Governance
Familiarise yourself with the principles of model governance, especially in the context of financial institutions. Be prepared to discuss how you would maintain a model governance framework and ensure compliance with regulatory standards.
✨Showcase Your Technical Skills
Highlight your experience with Python, SQL, and any other relevant programming languages. Be ready to provide examples of how you've used these skills in previous roles, particularly in developing and validating models.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities in real-world scenarios. Think about past experiences where you had to perform qualitative and quantitative analyses, and be ready to explain your thought process.
✨Demonstrate Communication Skills
Since the role involves interacting with various stakeholders, practice articulating complex technical concepts in a clear and concise manner. Prepare to discuss how you would present findings and updates to non-technical audiences.
