Full-Time
Data Scientist
Analytics Team, Banking
Posted on 8/19/2025
qode.world
51-200 employees
AI-powered talent acquisition for tech roles
No salary listed
Texas, USA
In Person
 Data & Analytics (1) |
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- Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Data Science, or related field.
- 3–7 years of experience as a Data Scientist, ideally within the banking or financial services domain.
- Strong programming skills in Python and R, including libraries such as Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch, ggplot2, and caret.
- Hands-on experience with PySpark for distributed data processing and analysis.
- Strong statistical and mathematical foundation in regression, classification, clustering, time-series analysis, and hypothesis testing.
- Experience working with large datasets, big data platforms (Hadoop, Spark), and SQL/NoSQL databases.
- Familiarity with cloud platforms (AWS, Azure, or GCP) and version control (Git).
- Excellent problem-solving, communication, and stakeholder management skills.
- Work with large-scale structured and unstructured datasets to design, develop, and deploy predictive and prescriptive models.
- Apply statistical modeling, machine learning, and data mining techniques to address complex business problems in banking.
- Develop and optimize data pipelines and ETL processes using PySpark for efficient big data processing.
- Perform exploratory data analysis (EDA), feature engineering, and hypothesis testing using Python and R.
- Partner with business stakeholders to translate requirements into analytical solutions.
- Create visualizations and dashboards to communicate insights to technical and non-technical audiences.
- Ensure compliance with data governance, privacy, and security standards in all analytics work.
- Experience in risk analytics, fraud detection, credit risk modeling, or customer analytics in banking/financial services.
Qode.world focuses on recruiting specialized tech roles. It uses AI to streamline assessments through customizable AI interviewers and live interviews, and it integrates with LinkedIn to build a talent pool and message candidates. The platform provides data-driven insights from global data points to improve candidate matching. Revenue comes from tailored recruitment services targeting niche and senior positions, aiming to increase hiring efficiency and speed for clients. Compared to competitors, Qode.world emphasizes niche tech expertise, scalable AI interview workflows, and direct candidate communication via LinkedIn, which helps quickly identify qualified candidates from a broad network.
Company Size
51-200
Company Stage
N/A
Total Funding
N/A
Headquarters
Singapore
Founded
2023
Simplify's Take
What believers are saying
- GenAI talent assessment adoption among Fortune 500 firms grew 40%+ in 2025-2026, expanding TAM.
- Technical recruiting for emerging roles shows 35% YoY demand growth with 90+ day time-to-hire gaps.
- Financial services sector accelerating digital transformation hiring; Qode has existing vertical expertise.
What critics are saying
- LinkedIn API restrictions block access to 500M+ profiles; probability 70-90% within 3-6 months.
- EU AI Act enforcement fines €20M+ for high-risk recruitment AI lacking certified bias audits.
- OpenAI's 2026 recruitment fine-tuning models enable enterprises to build in-house tools at 1/3 cost.
What makes qode.world unique
- AI-powered sourcing accesses 500M+ global profiles with precision ranking and automated outreach sequences.
- Tracy AI interviewer conducts structured, bias-free assessments in 30+ languages with integrity monitoring.
- Unified platform consolidates sourcing, ATS, interviews, and hiring decisions in single enterprise environment.
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Benefits
Hybrid Work Options