Senior Data Scientist

Columbia Threadneedle Investments
London, United Kingdom
29 May 2022
02 Jun 2022
Job Function
Industry Sector
Finance - General
Employment Type
Full Time
About Columbia Threadneedle Investments

About Columbia Threadneedle Investments

You'll find the promise we make to our clients is the same one we make to our employees: Your success is our priority.

Here, you'll find growth and career opportunities across all our businesses. We're intentionally built to help you succeed. Our reach is expansive with a global team of 2,000 people working together. Our expertise is diverse with more than 450 investment professionals sharing global perspectives across all major asset classes and markets. Our clients have access to a broad array of investment strategies and we have the capability to create bespoke solutions matched to clients' specific requirements.

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 providing an inclusive workplace that supports the diversity of our employees and reflects our broader communities and client-base. We welcome applications from returners to the industry.

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.

Job Purpose Statement

Play an integral leadership role in supporting modeling and data analysis and database needs supporting Columbia Threadneedle Investments. Manage and/or directs the creation and/or usage of large data sets, providing information-based decision logic and predictive modeling solutions, and translates modeling/analytic output into understandable/actionable business knowledge, insight and applications. Provide analytic thought leadership and support in a lead business relationship role. Demonstrate strong technical/problem solving skills. Manage and/or support multiple projects collaboratively. May lead a team of analytic resources.

Role Responsibilities

Where you'll fit in & what our team goals are....

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. May 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. May provide technical advice and coaching to business analysts 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 polices and leaders.

May lead or provide informal leadership to a team of analytic resources.

Key Capabilities

To be successful in this role you will have....
  • Masters degree or equivalent in Quantitative Discipline (i.e. Finance, Statistics, Computer Science, Actuarial Science, Economics, Engineering, etc.)
  • 7 to 10 years relevant experience
  • Knowledge of advanced statistical concepts and techniques; 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.
  • Experience with statistical programming (Python, SQL etc.) & data visualization software (Tableau / Power BI) in a data-rich environment.
  • Experience in AWS services such as Redshift, S3, Sagemaker etc.
  • Proven ability to present/communicate complex, technical materials in a way that facilitates decision making and drives outcomes; 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.

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