Data Science & Analytics Lead (Sales, Marketing & Alternative Investments)

Overall, this role is suited to a seasoned analytics leader with demonstrated experience in Asset Management or Financial Services, & strong business acumen, and the credibility to operate in a matrix structure. Impact is driven through insight, influence, and domain expertise rather than formal line management.

How you'll spend your time...

• Identify, develop and implement increasingly complex analytical solutions leveraging tools such as predictive modeling, advanced machine learning techniques, simulation, optimization solutions, etc.
• Engage collaboratively with business leaders and/or analysts to provide analytical thought leadership and support for business problems. Identify and interpret business needs, define high-level business requirements, strategy, technical risks, and scope. Develop, document, and communicate business-driven analytic solutions and capabilities, translating modeling and analytic output into understandable and actionable business knowledge.
• Manage dataset creation including data extraction, derived and dependent variable creation, and data quality control processes for analytics, model development, and validation. Monitor execution of analytical solutions, including criteria specification, data sourcing, segmentation, analytics, selection, delivery, and back-end data capture results.
• Contribute to ongoing expansion of data science expertise and credentials by keeping up with industry best practices, developing new skills, and knowledge sharing. Work cross functionally to develop standardized/automated solutions and adopt best practices. Provides technical advice and coaching to team members on best practices for usage and application of analytic output.
• Embed analytic programs and tools. Ensure continued accuracy, relevancy, and effectiveness and track process improvements once deployed.
• Ensure adherence to data and model governance standards that are set and enforced by industry standards and/or enterprise business unit data governance policies and leaders.
• May lead or provide informal leadership to a team of analytic resources.

To be successful in this role you will have...

• Extensive experience in Asset Management or Financial Services.
• Strong experience partnering with senior leaders to drive aligned, data informed decisions and business outcomes.
• Masters degree or equivalent in Quantitative Discipline (i.e. Finance, Statistics, Computer Science, Actuarial Science, Economics, Engineering etc.)
• Knowledge of advanced statistical concepts and techniques, e.g. skilled in linear algebra.
• Experience conducting hands-on analytics projects using advanced statistical methods such as generalized regression models, Bayesian methods, random forest, gradient boosting, neural networks, machine learning, clustering, or similar methodologies.
• Proficiency in programming languages such as Python, Sql etc.
• Experience with Data visualization tools (e.g. Power BI, Tableau)
• Proven track record of designing and deploying AI solutions at scale.
• Demonstrated project experience while working with AWS/Azure/Snowflake
• Proven executive presence communication skills, with the ability to translate complex data into clear, actionable insights that influence prioritization and investment; ability to communicate to less technical partners.
• Proven ability to apply both strategic and analytic techniques to provide business solutions and recommendations.
• Ability to work effectively in a collaborative team environment.

If you also had this, it would be great…

• Familiarity with ML Ops practices and tools for model deployment and monitoring.
• Familiarity with Gen AI capabilities, Observability, Gen AI type - Q/A, text summarization and text generation etc.
• Experience working in regulated industries or highly matrixed, enterprise environments.
• Experience modernizing or scaling enterprise experimentation programs and attribution frameworks
• Track record of leading analytics organizations through significant transformation or maturity shifts.

In-Office Collaboration

We are a client-centric, relationship-based business. Working together, in-person, is foundational to how we achieve results. By fostering a culture of face-to-face collaboration, idea sharing, productivity and personal connection, we deliver for our stakeholders — clients, advisors, employees and shareholders. Our employees work in the office at least four (4) days per week, with flexibility to work from home one (1) day per week. Some roles may require additional in-office time or different in-office expectations, and specific requirements will be discussed during the hiring process.

Full-Time/Part-Time

Full time

Worker Sub Type

Permanent

Job Family Group

Data

Columbia Threadneedle is a people business, and we recognise that our success is due to our talented people, who bring diversity of thought, complementary skills and capabilities. We are committed to fostering an inclusive and performance-based culture where everyone can belong, grow, contribute and realise their potential.

We appreciate that work-life balance is an important factor for many when considering their next move so please discuss any flexible working requirements directly with your recruiter.

Columbia Threadneedle Investments is an equal opportunity employer. We consider all qualified applicants without regard to racial or ethnic background, religion or belief, sex or gender, nationality, genetic information, age, sexual orientation, gender identity, disability, marital status, pregnancy or maternity or any other basis prohibited by law.

We are committed to fostering an inclusive and accessible recruitment process for individuals with disabilities. If you require a reasonable accommodation to aid your participation in the application or interview process, speak to your recruiter to discuss how we can support you.