Job Specifications
About The Role
We are seeking a highly analytical and results-driven Data Scientist to join our growing analytics team in the financial services sector. You will play a key role in building predictive models, optimizing financial decisions, and extracting insights that drive product development, risk mitigation, and customer strategy. This role requires a strong foundation in statistics, machine learning, and financial domain knowledge. This position is based in our San Francisco office in a hybrid capacity, specifically on Tuesdays, Wednesdays, and Thursdays.
What You'll Do
Build and deploy statistical models and machine learning algorithms to solve business problems in areas like credit risk, fraud detection, pricing, customer segmentation, and marketing attribution.
Validate models to identify factors that may affect model performance.
Analyze large, structured and unstructured datasets using SQL, Python or similar tools.
Stay up to date with the latest trends and technologies in data science and fintech, actively research new tools and techniques available for model development.
Collaborate with cross-functional teams including risk, marketing, product, and engineering to define data-driven strategies.
What We Look For
Advanced Degree (MS/PhD) in Data Science, Statistics, Mathematics, Computer Science, Finance, or a related quantitative discipline.
0-2 years of hands-on experience in a data science or analytics role, preferably in financial services.
Experience and/or strong interest in the latest machine learning techniques (Random Forest, Gradient Boosted Trees, etc.) strongly preferred.
Strong proficiency in Python (Pandas, Numpy, Scikit-learn) and SQL.
Ability to write documentation and present analysis to people with different levels of expertise (e.g., technical staff, business leads, etc.).
Detail oriented and strong analytical skill set.
Proactive, driven, and ability to work in a fast paced environment.
Nice To Have
Experience working with cloud platforms (AWS, GCP, or Azure).
Experience with data visualization tools (e.g., Tableau, Power BI).
Knowledge of big data technologies like Spark or Hadoop.
Understanding of financial services concepts such as credit scoring, portfolio risk, or customer lifetime value.
What We Offer You
Competitive salary and stock option plan
100% paid coverage of medical, dental and vision insurance
Competitive 401(k) and RRSP program
Flexible PTO
Opportunities for professional growth and development
Paid parental leave
Health & wellness initiatives
About the Company
Jobright is your personal AI job search co-pilot that transforms the way you do job search from solo, time-consuming efforts to a co-piloted journey with a seasoned AI career assistant at the helm, simplifying every job search step and accelerating your route to the best job outcomes.
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