Junior Quantitative Risk Data Scientist, Fintech

Optasia10 months ago
Stewart, OH, United States
On-site
Full-time
Junior Level (1-3 years)

Job Description

Position Overview

Optasia is a fully enabled B2B2X financial technology platform covering scoring, financial decisioning, disbursement and collection. Committed to enabling financial inclusion for all, we are changing the world our way. We are looking for enthusiastic professionals with energy and a can‐do attitude. As a Junior Quantitative Risk Data Scientist, you will be a key contributor in our Credit Portfolio Optimization team, developing statistical and machine learning algorithms for credit issuance, risk evaluation and revenue optimization. You will join a team of 25 professionals driving advanced risk management and daily portfolio analytics.

Key Responsibilities

  • Perform in-depth risk analysis and optimization on microloans (80% of the role).
  • Develop predictive models with a focus on statistical techniques and occasional machine learning applications.
  • Deliver actionable insights on credit risk through advanced big data analytics.
  • Identify and evaluate credit risk factors using computational methods on large datasets.
  • Collaborate with cross-functional teams to support data-driven decision-making.
  • Continuously refine risk models to optimize financial outcomes and minimize risk exposure.

Required Qualifications

  • Bachelor’s degree in Data Science, Statistics, Mathematics, or a related field.
  • Strong foundation in statistical modeling; experience with machine learning models is a plus.
  • Proficiency in programming languages such as Python or R, with experience in big data analytics.
  • Solid understanding of risk analytics and credit risk factors.
  • Ability to handle and analyze large datasets to draw meaningful insights.
  • Strong analytical and problem-solving skills.
  • Excellent interpersonal and communication skills with a proven ability to work under pressure and meet tight deadlines.
  • Experience with secure code development guidelines and coding practices (e.g., OWASP, NIST).

Benefits & Perks

  • Competitive remuneration package
  • Extra day off on your birthday
  • Performance-based bonus scheme
  • Comprehensive private healthcare insurance
  • All the tech gear you need to work smart
  • Be part of a multicultural working environment.
  • Gain unique insights in a promising business and industry.
  • Enjoy a clear career path within our working family.
  • Benefit from continuous training and access to online platforms.
  • Participate in CSR activities and festive events on various occasions.
  • Relish a comfortable open space restaurant with varied meal options every day.
  • Access well-being activities such as free on-site yoga classes and available squash court.

Required Skills

R
machine learning
communication
statistical modeling
big data analytics
risk analytics
credit risk evaluation
data-driven decision-making
problem-solving
secure coding practices
Python