What are the responsibilities and job description for the Quantitative Analytics Manager position at SoTalent?
Job Title: Quantitative Analytics Manager
Location: Plano, TX
Job Type: Full Time
Our client, a leading organization in the financial technology and data analytics space, is seeking a Quantitative Analyst to join a high-impact team driving innovation across the enterprise. This role blends advanced analytics, cloud technologies, and modern machine learning to unlock insights that support smarter decisions and elevate customer experiences.
What You’ll Do
- Build analytical solutions using advanced statistical, econometric, and machine learning techniques.
- Translate complex technical work into clear, actionable insights for diverse stakeholders.
- Partner with cross-functional teams to enhance modeling frameworks and strengthen analytical practices.
- Develop innovative approaches using AI, NLP, and automation to solve complex business challenges.
- Work with cloud-based environments to design scalable, data-driven tools.
- Produce transparent, well-structured documentation supporting model governance.
What You Bring
- Strong foundation in quantitative analysis, predictive modeling, and machine learning.
- Ability to analyze large datasets and apply modern analytical techniques.
- Excellent communication skills with the ability to simplify complex concepts.
- Experience using tools such as Python, R, or similar statistical software.
- Proven ability to deliver clear documentation and present findings effectively.
Qualifications
Required:
- Bachelor’s in a quantitative field 6 years of analytics experience, or
- Master’s in a quantitative field/MBA (quant focus) 4 years of analytics experience, or
- PhD in a quantitative discipline 1 year of analytics experience.
Preferred:
- PhD in Statistics, Economics, Engineering, Math, Operations Research, Physics, Finance, or related areas.
- Experience with large-scale data analysis and modern ML/AI techniques, including LLMs or Generative AI.
- 3 years working with Python, R, or similar tools.
- Background in regression, econometrics, or machine learning methods.