drjobs Manager, Quantitative Analytics

Manager, Quantitative Analytics

Employer Active

1 Vacancy
drjobs

Job Alert

You will be updated with latest job alerts via email
Valid email field required
Send jobs
Send me jobs like this
drjobs

Job Alert

You will be updated with latest job alerts via email

Valid email field required
Send jobs
Job Location drjobs

Johannesburg - South Africa

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

We are seeking a highly skilled and experienced Quantitative Analyst to join our innovative team. In this key technical role you will apply advanced statistical modeling and machine learning techniques to develop predictive models that provide valuable business insights. This is an excellent opportunity for individuals with a strong passion for coding analytics and datadriven decisionmaking. Additionally you will be responsible for designing and optimizing ETL (Extract Transform Load) processes to ensure the integrity quality and accessibility of data for analytical purposes.


Qualifications :

Minimum Qualifications Required:

  • Bachelors degree in Data Science Statistics Computer Science Mathematics or a related field.

Minimum Experience Required:

  • 46 years experience.
  • Strong SQL skills including writing complex queries working with relational databases optimising performance and working with large datasets.
  • Handson experience with statistical analysis modeling techniques and machine learning.
  • Experience in SAS.
  • Strong problemsolving skills with the ability to translate business needs into analytical solutions.
  • Ability to communicate insights effectively to both technical and nontechnical stakeholders.

Beneficial Experience:

  • Experience in the Banking and/or Insurance industry.
  • Experience with machine learning frameworks (e.g. Scikitlearn TensorFlow PyTorch).
  • Experience data visualization tools (e.g. Tableau QlikView Power BI etc.).
  • Experience designing building and maintaining ETL pipelines for structured and unstructured data.

.


Additional Information :

Behavioural Competencies

  • Analytical Thinking  Ability to break down complex problems identify patterns and derive meaningful insights from data.
  • Attention to Detail  Ensures accuracy in data analysis modeling and reporting.
  • ProblemSolving Skills  Thinks critically and develops innovative solutions to business challenges.
  • Communication Skills  Clearly presents complex quantitative insights to both technical and nontechnical stakeholders.
  • Collaboration & Teamwork  Works effectively with crossfunctional teams including data engineers and business leaders.
  • Adaptability & Learning Agility  Stays updated with industry trends and emerging technologies.
  • Time Management & Prioritization  Manages multiple projects efficiently while meeting deadlines.
  • Proactive & SelfMotivated  Takes initiative in identifying opportunities for process improvement and optimization.

 

Technical Competencies:

  • SQL & Database Management  Strong ability to write and optimize SQL queries work with relational databases and manage large datasets.
  • Predictive Modeling & Machine Learning  Experience with statistical techniques regression models decision trees clustering and other machine learning models.
  • ETL & Data Pipeline Development  Building automating and maintaining efficient ETL workflows
  • Programming (SAS Python R)  Proficiency in data manipulation modeling and automation.
  • Statistical Analysis & Hypothesis Testing  Strong foundation in probability statistical distributions hypothesis testing and A/B testing.


Remote Work :

No


Employment Type :

Fulltime

Employment Type

Full-time

Company Industry

About Company

Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.