Data Scientist

**BrainFinance** is a leading financial technology company providing responsible and constructive credit solutions to consumers. We are redefining access to credit with our revolutionary technology that uses machine learning and automation capabilities to deliver better, simpler financial services to everyone.

We are looking for a talented, enthusiastic, and results-driven **Data Scientist (MySQL, BigQuary)** to join our growing team of data scientists who will be responsible for responding to analytics requests, managing data assets, developing predictive and forecasting analytics solutions in support of the organization’s lending decisions across all aspects of Growth, Marketing, Product, Credit, Operations and Finance.

**What You’ll Do**
- Develop actionable analytics insights for continuous enhancement of lending business management in all aspects of credit risk, policy and strategy, marketing and sales, account behavior, and collections.
- Monitor portfolio performance and drive validation of analytics solutions and adjustments of credit and marketing/sales strategies to mitigate risk.
- Strong familiarity and experience with Machine Learning algorithms; The Python Data Science stack is mandatory; Regression, Clustering, SVM, Decision Trees, DNNs, Recommendation Algorithms, etc.
- Respond to ongoing analytics and data requests from all areas of the banking.
- Work with credit and operations engineering and database management teams to implement analytics solutions and to improve our underwriting processing and account management.
- Develop forecasting models for losses and delinquencies.
- Exploratory data analysis employing large data sets involving visualization and basic statistical techniques to develop intuitions and identify key variables in data science projects
- Serve as an expert consultant to senior management on highly complex issues.
- Work with the executive team to match communications strategies with organizational strategies and objectives.
- Learn and understand the business in detail and educate the organization in the use and understanding of analytics and data.
- Perform other business analyses duties as assigned.

**What We Look For**
- 5+ years of experience. Highly skilled in data processing and predictive model development with strong analytical, conceptual and quantitative problem-solving skills.
- A M.Sc Degree, preferably in a quantitative area such as statistics, mathematics, computer science, engineering and economics.
- Highly skilled in Python Data Science Stack (NumPy, SciPy, Pandas, Scikit-learn, Jupyter, IPython), Machine Learning and Statistics, Data Visualization, A/B Testing, Bandit problems, Recommendation systems and Reinforcement learning.
- Proficiency with MySQL (we also use BigQuary)
- Familiarity with ML and AI services on leading public cloud providers: Google Cloud ML.Knowledge of the lending consumer with knowledge of credit, banking, finance, a plus.
- Knowledge of external credit/alternative data for assessing credit outcomes a plus.

**What we offer in addition**
- Competitive salary
- Health & Dental Insurance
- Virtual Healthcare Program
- RSP with the contribution of 4%
- Hybrid work schedule
- Wellness Program
- Commuter Benefits (Bixi, Opus)
- Lots of office activities and entertaining team buildings
- Office Perks (fresh fruits, muffins, games and relaxation space)
- A cutting edge technology stack
- Opportunity for fast career growth

**Salary**: $65,000.00-$100,000.00 per year

Schedule:

- 8 hour shift

Ability to commute/relocate:

- Montréal, QC: reliably commute or plan to relocate before starting work (required)

**Education**:

- Master's Degree (required)

**Experience**:

- SQL: 3 years (required)
- Python Data Science Stack: 3 years (required)

Work Location: Hybrid remote in Montréal, QC