Home Based Data analyst Jobs – 114 Open Jobs Today

Senior Data Scientist – Credit & Risk Analytics_ODL
FINACPLUS GLOBAL SERVICES PRIVATE LIMITED —Remote
- Remote
- SQL
- AWS
- Analysis skills
- Work from home
Quick apply
2d
Sr. Manager, Data & Analytics
Sumeru —Remote
- Full-time
- Remote
- Master's degree
- SQL
- Business development
Accessibility Business Analyst
Deque Systems —Remote
- Full-time
- Remote
- Analysis skills
- Bachelor's degree
- JavaScript
- Flexible schedule
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11d
AI & Automation Business Analyst – Medical Affairs (Pharma Domain)
Virtual Labs —Remote
- ₹7,63,378.56 - ₹20,06,965.80 a year
- Night shift
- Remote
- Azure
- Presentation skills
- Bachelor's degree
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12d
Business Analyst – Travel & Hospitality
Data PlatformExperts —Remote
- ₹10,00,000 - ₹20,00,000 a year
- Full-time
- Remote
- Hospitality
- Analysis skills
- Bachelor's degree
- Work from home
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3d
Senior Data Analytics Engineer
MariaDB plc —Remote
- Remote
- Databases
- SQL
- JavaScript
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Business Analyst (Enterprise Asset Management – KloudGin City and Municipal Implementation)
Kloud Gin —Remote
- Full-time
- Remote
- Project management
- Bachelor's degree
- Communication skills
BI & ERP Integration Developer
Learntastic —Remote
- Full-time
- Remote
- Azure
- Computer Science
- ERP systems
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Staff Consultant, Business Analyst (Banking and Financial Service)
Nagarro —Remote
- Full-time
- Remote
- Computer Science
- Master's degree
- Bachelor's degree
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10d
Big Data Analytics Engineer - Hadoop / Hive - Banking Domain
MNJ Software —Remote
- Full-time
- Remote
- English
- Master's degree
- Administrative experience
- Work from home
Senior Power BI Developer – Manufacturing Analytics
Learntastic —Remote
- Full-time
- Remote
- Azure
- Computer Science
- ERP systems
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Senior Staff Consultant ,SAP Analytics Data Manageme
Nagarro —Remote
- Remote
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Senior Data Scientist – Credit & Risk Analytics_ODL

FINACPLUS GLOBAL SERVICES PRIVATE LIMITED
Remote

Quick apply

Job details

2 days ago

Benefits

Work from home

Qualifications

Git
SQL
AWS
Analysis skills
Version control systems
Data science
Communication skills
Python
Analytics

Full job description

Senior Data Scientist – Credit & Risk Analytics

At FinacPlus, we are more than a service provider — we are a Virtual Business Process Partner to leading global financial institutions and fintech companies. Our teams integrate seamlessly with client organizations, delivering high-impact analytics, finance, risk, and technology capabilities from India. FinacPlus is a Great Place to Work® Certified™ organization, recognized for our collaborative culture, strong leadership values, employee-first philosophy, and commitment to professional growth. If you are looking for global exposure, ownership-driven work, and meaningful career acceleration — this is where you belong. We are currently hiring a Senior Data Scientist (3–5 years experience) to support a UK-based fintech client in strengthening and scaling their credit risk and automated decisioning ecosystem. This role offers true end-to-end ownership — from model development and validation to production deployment and governance — with direct business impact.

As a Senior Data Scientist, you will serve as an embedded analytics leader working alongside Data Science, Credit Risk, Engineering, and Product stakeholders. You will design and enhance advanced credit models that drive responsible lending, portfolio growth, and customer outcomes. You will not just build models — you will influence business decisions.

RESPONSIBILITIES

You will take ownership of designing, developing, and continuously refining credit risk scorecards, loss forecasting models, and collections and behavioural models that materially influence portfolio strategy, risk appetite, and sustainable growth.
You will leverage a wide spectrum of internal and external datasets — including credit bureau data, loan performance data, and transactional and behavioural datasets — to generate deep, decision-grade insights that enhance underwriting precision and customer outcomes.
You will architect and deliver robust, production-ready solutions in Python, ensuring code quality, scalability, reproducibility, and alignment with enterprise engineering standards.
You will partner closely with Engineering teams to drive seamless model deployment, automation, and integration into real-time decisioning environments, ensuring operational resilience and performance efficiency.
You will play a key role in strengthening and optimizing automated loan decisioning systems, enhancing model sophistication while maintaining transparency, fairness, and regulatory alignment.
You will lead model monitoring, validation, governance, and performance oversight frameworks, proactively identifying drift, stability risks, and opportunities for recalibration.
You will conduct advanced exploratory data analysis and strategic feature engineering to uncover new risk drivers and unlock incremental portfolio value.
You will translate complex statistical outputs into clear, commercially meaningful narratives for senior stakeholders, enabling confident and informed business decisions.
You will collaborate with Credit, Pricing, and Operations leadership to ensure analytics initiatives are tightly aligned with strategic priorities and commercial objectives.
You will contribute to the evolution of scalable data science frameworks, best practices, documentation standards, and technical governance processes.

QUALIFICATIONS AND EXPERIENCE

3–5 years of hands-on experience in Data Science / Risk Analytics
Strong proficiency in Python, Solid command of SQL
Advanced understanding of:
- Regression & classification techniques
- Model validation & stability testing
- Performance metrics (AUC, KS, Gini, Precision/Recall, etc.)
- Bias/variance trade-offs and interpretability
Experience deploying models into production environments
Exposure to version control systems (Git)
Working knowledge of cloud platforms (AWS preferred)
Experience in credit risk / lending / financial services analytics strongly preferred

WHAT MAKES YOU A STRONG FIT

Demonstrated ability to own the full data science lifecycle
Strong analytical judgement and business contextualization skills
Ability to balance statistical rigour with commercial practicality
Clear communication skills for technical and non-technical stakeholders
Passion for building scalable, responsible lending systems

WHY HIGH-PERFORMING TALENT CHOOSES FINACPLUS

Direct exposure to UK & US financial markets
Opportunity to work on production systems impacting real customers
Great Place to Work® Certified™ culture
Clear growth pathways into senior analytics and leadership roles
Collaborative, high-accountability, ownership-driven environment
Continuous learning and global client interaction
Stable organization with strong governance and ethical practices
Demonstrated ability to own the full data science lifecycle

LOCATION: Work from Home, India

TIMINGS: UK Shift IST 2-00pm to 11-00pm

SALARY RANGE: Best in Industry

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Refine Your Search

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Senior Data Scientist – Credit & Risk Analytics_ODL

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