Location: Canada / Remote / Hybrid
Employment Type: Full-Time / Contract
About the Role
Infocodec Solutions is seeking a highly skilled Senior Data Scientist to work on advanced data-driven solutions across financial markets, risk analytics, and investment strategy.
In this role, you will work with large-scale financial, transactional, and alternative datasets, applying advanced statistical techniques, machine learning, and artificial intelligence to generate insights that support trading decisions, risk management frameworks, and strategic business initiatives.
This position sits at the intersection of data science, engineering, and financial technology. You will collaborate with quantitative researchers, traders, data engineers, and technology teams to build scalable data products and deliver analytics solutions that create measurable business value.
You will also contribute to building best practices in data science and analytics across Infocodec’s consulting engagements.
Key Responsibilities
Model Development
- Design, develop, and deploy predictive models and statistical algorithms for trading, risk analysis, and investment strategies.
- Build machine learning models that improve forecasting, decision-making, and operational efficiency.
Experimentation
- Design and conduct data-driven experiments to evaluate new datasets, trading hypotheses, and risk modeling approaches.
- Validate model performance using robust statistical evaluation techniques.
Advanced Analytics
- Apply advanced techniques including:
- Machine Learning
- Natural Language Processing (NLP)
- Time-Series Forecasting
- Predictive Modeling
- Analyze financial and alternative datasets to identify patterns and actionable insights.
Data Engineering Collaboration
- Partner with data engineering teams to ensure data pipelines are scalable, reliable, and optimized for analytical research.
- Contribute to data architecture and platform improvements.
Business Impact
- Translate complex analytical results into clear insights and recommendations for executives, traders, and business stakeholders.
- Support data-driven decision-making across financial and technology initiatives.
Mentorship
- Mentor junior data scientists and analysts on statistical modeling, machine learning techniques, and best practices in analytics.
- Promote knowledge sharing across teams.
Required Qualifications
Professional Experience
- 6+ years of experience in applied data science, preferably within:
- Financial services
- Technology companies
- Data-intensive industries
Technical Skills
Strong programming and analytics expertise including:
- Python, R, or Scala
- Advanced SQL
- Machine learning frameworks such as:
- scikit-learn
- TensorFlow
- PyTorch
Statistical Expertise
Strong knowledge of:
- Probability theory
- Econometrics
- Experimental design
- Causal inference
- Statistical modeling
Big Data Technologies
Experience working with large-scale distributed data platforms, such as:
- Apache Spark
- Hadoop
- Cloud-native analytics platforms (AWS, Azure, or GCP)
Financial Knowledge (Preferred)
Experience or familiarity with:
- Financial markets
- Risk modeling
- Portfolio optimization
- Trading analytics
Collaboration Skills
- Ability to work closely with quantitative researchers, engineers, traders, and business leaders.
- Strong communication and stakeholder engagement skills.
Education
- Master’s or PhD in:
- Computer Science
- Statistics
- Mathematics
- Engineering
- Data Science or related quantitative field
Why Join Infocodec Solutions
Infocodec Solutions works with global organizations across financial services, capital markets, technology, and data analytics, delivering innovative solutions that drive transformation.
Our teams focus on:
- Advanced analytics and AI solutions
- Financial technology platforms
- Cloud data engineering and analytics
- Enterprise digital transformation
At Infocodec, you will work on challenging real-world problems using cutting-edge data science techniques, collaborating with highly skilled professionals across technology and finance.
