Data Analyst - Risk Analyst

Supersourcing: The Future of Tech Recruitment

As a Techie, Do you face these challenges while pursuing opportunities?

• Navigating numerous job platforms.
• Enduring lengthy interview processes.
• Tedious negotiation phases.
• Ambiguity about project quality.
• Getting entangled in unsatisfactory work cultures.
• Wavering job security.

Then SuperSourcing is for you, Why us?

• One-Time Profile, Lifetime Opportunities: Set up once and get job recommendations for your entire career.
• Elite Client Pool: Work with top-tier clients who recognize and value your skills.
• Consistent Assignments: An impressive 95% of our engineers secure successive projects.
• Your Voice Counts: Your feedback is instrumental in our growth trajectory.
• Balanced Flexibility: Extendable projects offer you both flexibility and stability.
• Long-Haul Partnership: Collaborate with us for sustained high-quality assignments over 5-10 years.

Intrigued? Wanna know the opportunities before you ?

• Varied Onsite Roles: Specifically for professionals boasting 4+ years of experience.
• Speedy Induction: Complete interviews and embark on your new role in just a week.
• Tailored Engagement: Choose between a full-time or contract position. Enjoy added perks with contractual roles!
• Frequent Pay & Evaluations: Receive regular salaries and performance updates.
• Project Selection: Share your project preferences, and well match you perfectly.
• Ample Openings: Each month brings 300-400 onsite and 40-50 remote roles.

What are we looking for ?

Position: Risk Analyst/Data Scientist

Experience: 2+ years in Data Analytics roles preferably in Risk Underwriting

Timings: 2PM till 12 PM; Flexible to work in USA time zones to collaborate with the broader team

Skills: SQL and R/Python

:

• Analyze creditworthiness & underwrite SMBs operating in Canadian market.
• Combine & Leverage data from multiple sources: such as customer data, financial statements data, transactional
• unstructured data to enhance the risk scoring, assigning credit limits & loss mitigation
• Build necessary reporting to track the Portfolio performance, early warning signs and key insights
• Perform various departmental functions, including loan criteria monitoring, credit policy updates & loan tape for credit facilities
• Identifying gaps in the Risk operational processes; manage changes implementation across credit life cycles to enhance efficiency
• Work in tight collaboration with teams like Product & Engineering to manage the end-to-end customer life cycle
• Work with Technology team to drive availability of relevant data, tools and infrastructure and continue to enhance Risk
• Decisioning & automated underwriting capability

Must Have Skills and Work Experience

• Good coding skills in SQL
• Expertise in one of the data analytics languages eg. R &/or Python.
• 2+ years’ experience in Data Analytics roles preferably in Risk Underwriting
• Excellent data management, analytical and problem-solving skills
• Bachelor’s/master’s degree in engineering, Statistics, Economics, Finance, Mathematics, MBA or a related quantitative field is required.
• Ability to manage time effectively, set priorities and meet deadlines.
• Flexible to work in USA time zones (EST and PST) to collaborate with the broader team.

Good to have:

• Knowledge of USA/Canada lending and credit risk management practices
• Exposure to statistics/Machine Learning