Senior Data Scientist - Financial Risk & ML Leader

Harnham; Dallas (TX); Hybride; USD 140 000 - 150 000; Plein temps

Résumé du poste

Harnham is seeking a Lead Data Scientist to lead the development, validation, and deployment of advanced quantitative models in a regulated environment. You will partner with business and executive stakeholders to identify opportunities and quantify financial impact.

The role requires deep expertise in risk and financial modelling, strong statistical foundations, and the ability to independently drive analytics projects from concept through governance reviews and oversight.

Qualifications

• 8+ years of experience in Data Science or related fields.
• Advanced proficiency in Python and SQL.
• Experience with gradient boosting and predictive modelling.
• Experience presenting to executives and audits.
• Background in financial or risk modelling in regulated industry.

Responsabilités

• Design, develop, validate, and monitor advanced predictive and risk models.
• Analyse large-scale financial, transactional, and customer datasets.
• Apply machine learning and statistical techniques to solve complex business problems.
• Translate model insights into measurable financial impact and business recommendations.
• Lead analytics initiatives from problem definition through implementation and performance tracking.
• Present technical findings and strategic recommendations to senior leadership and executive stakeholders.
• Support model governance activities, regulatory reviews, and external audit processes.
• Collaborate with cross-functional teams to ensure models align with business objectives and compliance.
• Provide technical guidance and mentorship to peers and junior team members.

Connaissances

Python

SQL

Data modelling

Statistical analysis

Gradient boosting

Communication

Audit governance

Formation

Bachelor's degree in quantitative field

Master's degree in Data Science / Statistics

Description du poste

Harnham is seeking a Lead Data Scientist to lead the development, validation, and deployment of advanced quantitative models in a regulated environment. You will partner with business and executive stakeholders to identify opportunities and quantify financial impact.

The role requires deep expertise in risk and financial modelling, strong statistical foundations, and the ability to independently drive analytics projects from concept through governance reviews and oversight.