Credit & Risk Strategist (B2C, Fintech)

Role Overview 

As a Data Scientist, you will work with business stakeholders, AI engineers, and domain experts to transform data into actionable insights and intelligent solutions. You will develop machine learning models, perform statistical analysis, and contribute to AI-driven products that create measurable business impact. 

Key Responsibilities 

Data Science & Machine Learning 

• Analyze structured and unstructured data to identify patterns, trends, and business opportunities.  
• Perform exploratory data analysis (EDA), feature engineering, and data preparation.  
• Develop, evaluate, and optimize machine learning models for prediction, classification, clustering, and forecasting.  
• Apply statistical techniques to solve business problems and validate model performance.  
• Design and execute experiments to improve model accuracy and business outcomes.  

 AI Solution Development 

• Collaborate with AI Engineers, Data Engineers, and domain experts to build AI-powered solutions.  
• Translate business requirements into scalable data science approaches.  
• Contribute to Generative AI and advanced analytics initiatives where applicable.  
• Document methodologies, model performance, and key findings.  

 Required Technical Skills 

• Strong programming skills in Python and SQL for data analysis, feature engineering, and machine learning.  
• Strong understanding of Statistics, Probability, Linear Algebra, and Calculus as applied to machine learning and data science.  
• Experience with Exploratory Data Analysis (EDA), data preprocessing, feature engineering, feature selection, and handling missing or imbalanced data.  
• Good understanding of Supervised, Unsupervised, and Ensemble Machine Learning algorithms, including their assumptions, strengths, limitations, and appropriate use cases.  
• Strong knowledge of Regression, Classification, Clustering, Time Series Forecasting, Dimensionality Reduction, Recommendation Systems, and Anomaly Detection techniques.  
• Experience with Model Evaluation, Cross-Validation, Hyperparameter Optimization, Bias-Variance Trade-off, Feature Importance, Explainable AI (XAI), and Performance Metrics.  
• Understanding of Statistical Inference, Hypothesis Testing, Probability Distributions, Sampling Techniques, Confidence Intervals, and A/B Testing.  
• Experience translating business problems into analytical approaches and developing scalable, data-driven solutions.  
• Working knowledge of Generative AI, Large Language Models (LLMs), Prompt Engineering, and Retrieval-Augmented Generation (RAG) is preferred. 

Preferred Qualifications 

• Bachelor's or master's degree in computer science, Artificial Intelligence, Data Science, Statistics, Mathematics, Engineering, or a related field.  
• 2–4 years of experience developing machine learning or data science solutions.  
• Experience working on end-to-end data science projects in a business environment.  

 Nice to Have 

• Exposure to Generative AI, LLMs, RAG, or Agentic AI.  
• Experience with Computer Vision or Natural Language Processing (NLP).  
• Familiarity with cloud-based AI platforms.  
• Knowledge of construction, engineering, manufacturing, or industrial domains.  
• Participation in hackathons, research, Kaggle competitions, or open-source projects.  

 Soft Skills 

Strong analytical and problem-solving skills, effective communication and collaboration, ownership mindset, adaptability, continuous learning, and a passion for innovation.

Insurity’s Next Data Scientist:

We are seeking a Data Scientist to join our Predict team, focused on building and maintaining predictive models that support underwriting, claims, and audit use cases across Workers' Compensation and Commercial Auto. This role will be based in India and will play a key part in scaling our data science capabilities.

What Our Data Scientist Will Do: 

• Develop predictive models using GLM and machine learning techniques such as GBM, Random Forest, and XGBoost
• Perform feature engineering, selection, and transformation to optimize model performance
• Analyze structured and unstructured datasets to uncover insights and support model development
• Indentify and integrate third-party data sources to augment existing datasets and improve model accuracy
• Collaborate with product and engineering teams to integrate models into production environments
• Use AWS tools such as SageMaker and EC2 to build, train, and deploy models
• Document modeling decisions and communicate findings to technical and non-technical stakeholders
• Support model monitoring and performance tracking over time
•  

Who We’re Looking For:

• 2-5 years of experience in data science or predictive modeling
• Strong understanding of GLM and ML algorithms (GBM, XGBoost, Random Forest)
• Experience with Python and relevant libraries (scikit-learn, pandas, NumPy)
• Familiarity with AWS tools, especially SageMaker and EC2
• Experience with feature engineering and model evaluation techniques
• Ability to translate business problems into analytical solutions
• Strong communication skills and ability to work collaboratively in a cross-functional team
• Bachelor's or Master's degree in a quantitative field (Statistics, Mathematics, Computer Science, Data Science)
• Active listening
• Analytical and critical thinking
• Self-starter and quick learner
• Detail-oriented
• Ability to collaborate and work independently 
• Written and oral English communication
• Time management including work planning, prioritization, and organization 
• Sound judgement
• Ability to handle multiple priorities or tasks
• Flexible and adaptable

We’re looking for a dynamic and driven Data Analyst to join our team of technology enthusiasts. This role is crucial in transforming data into insights that support strategic decision-making and innovation within the insurance technology (InsurTech) space. If you’re passionate about working with data, understanding systems, and delivering value through analytics, we’d love to hear from you.

What We’re Looking For

• Proven experience working as a Data Analyst or in a similar analytical role
• 5+ Years of experience in the field
• Strong command of SQL for querying and manipulating relational databases
• Experience with Power BI for building impactful dashboards and reports
• Familiarity with QlikView and Qlik Sense is a plus
• Ability to communicate findings clearly to technical and non-technical stakeholders
• Knowledge of Python or R for data manipulation is nice to have
• Bachelor’s degree in Computer Science, Statistics, Mathematics, Economics, or a related field
• Understanding of the insurance industry or InsurTech is a strong advantage

What You’ll Be Doing:

• Delivering timely and insightful reports to support strategic decision-making
• Working extensively with Policy Administration System (PAS) data to uncover patterns and trends
• Ensuring data accuracy and consistency across reports and systems
• Collaborating with clients, underwriters, and brokers to translate business needs into data solutions
• Organizing and structuring datasets, contributing to data engineering workflows and pipelines
• Producing analytics to support business development and market strategy

Company Overview

 Industry: Personal Care / D2C (Direct-to-Consumer)

 Founded: 2023

 Headquarters: Mumbai, India

 Company Size: Approximately 11–50 employees

 Business Model: Primarily D2C through its own e-commerce platform, supported by content-led marketing and creator-driven community building

Finance is not just a support function here - it's central to strategy, decision-making, and scaling the business

sustainably. We are seeking a Finance & Strategy Lead who combines sharp financial expertise with strategic vision,

and who has the credibility to partner with senior leaders and the board. This role is designed for someone with

future CFO potential.

Key Responsibilities

Strategic Finance & Business Partnering

●Lead financial planning, budgeting, forecasting, and performance management.

●Partner directly with business leaders on strategic initiatives, investment cases, and growth opportunities.

●Present business performance, insights, and recommendations to the CEO, board, and senior leadership team.

●Act as a thought partner to challenge assumptions, evaluate risks, and ensure robust decision-making.

Corporate Finance & Growth Strategy

●Drive capital allocation, fundraising, and investor relations strategy.

●Lead financial due diligence, scenario analysis, and long-term planning.

●Provide insights on market trends, competitive positioning, and strategic growth opportunities.

Financial Control & Governance

●Ensure strong compliance, risk management, and governance frameworks.

●Oversee accounting, audits, tax, and regulatory requirements with internal teams and external advisors.

●Continuously improve financial systems, reporting accuracy, and process scalability.

Leadership & Influence

●Mentor and build a high-performing finance team with scalable systems.

●Act as a trusted advisor to the CEO and executive team.

●Engage effectively with the board and external stakeholders, demonstrating credibility and the ability to hold ground in strategic discussions.

●Evolve into a broader leadership role with increasing ownership of finance and operations.

Reporting & Financial Insights

●Manage the end-to-end MIS process, providing precise reporting across P&L, balance sheet, and cash flow on a monthly, quarterly, and annual basis.

●Monitor liquidity by tracking burn rates and runway to ensure the leadership team has absolute visibility into working capital.

●Develop board materials and investor communications, distilling complex financial results into a compelling narrative regarding performance and future outlook.

●Function as the lead liaison for investor diligence while overseeing that all statutory audits and reporting remain compliant and timely.

Qualifications & Skills

●Chartered Accountant (CA) qualification strongly preferred; CFA/MBA Finance a plus.

●Strong track record in financial modeling, capital raising, and strategic problem-solving.

●Demonstrated ability to work with boards, investors, and senior leadership teams.

●Exceptional communication, influence, and stakeholder management skills.

●Entrepreneurial mindset with ambition to step into a CFO role in the near future.

We are looking for a hands-on Lead Data Scientist with strong analytical, machine learning, and problem-solving skills to work in a client-facing environment.

The role requires someone who can independently identify opportunities, formulate hypotheses, design solutions, and drive initiatives from analysis through experimentation and production implementation. The candidate should also be comfortable guiding team members and working closely with engineering and client stakeholders.

Responsibilities: 

• Analyse complex datasets to identify patterns, issues, and opportunities.
• Formulate and validate hypotheses through structured analysis and experimentation.
• Build and improve machine learning and anomaly detection solutions.
• Design end-to-end solutions considering data, modelling, engineering, and production constraints.
• Perform root cause analysis across models, data, and systems.
• Work with engineering teams on feature pipelines, model inference, and production deployment.
• Lead technical discussions with clients and communicate recommendations, trade-offs, and expected impact.
• Guide team members on analysis, modelling, and solution design.
• Proactively identify initiatives and roadmap items that can add value to the project.

Requirements: 

• Strong foundation in statistics and machine learning.
• Strong hands-on experience with Python and SQL.
• Hands-on experience with Python ML and data frameworks such as Pandas, NumPy, scikit-learn, TensorFlow/Keras, Dask, Matplotlib, Boto3 SageMaker Python SDK, and Horovod.
• Strong data analysis, hypothesis-generation, and problem-solving skills.
• Experience with standard supervised and unsupervised ML techniques.
• Experience with anomaly detection techniques such as Isolation Forest and Autoencoders.
• Experience building and deploying production ML solutions.
• Working knowledge of data engineering and real-time / batch inference environments.
• Strong communication and stakeholder-management skills.
• Ability to lead technical work and guide cross-functional teams.

Good to Have: 

• Experience in fraud detection or risk modelling.
• Experience with Graph Neural Networks.
• Exposure to real-time systems, streaming features, and low-latency data stores.
• Experience in AdTech, e-commerce, gaming, mobile applications, or similar high-volume consumer platforms.

Ideal Candidate

1

Strong Lead Business Analyst Profile with team leadership experience and BFSI background

2

Mandatory (Experience 1): Must have 6+ years of experience as a Business Analyst, including team lead or people-management experience with at least recent 2+ years in BFSI background

3

Mandatory (Experience 2): Must have proven ability to lead and mentor analysts and coordinate work across multiple stakeholders

4

Mandatory (Experience 3): Must have owned requirement gathering, analysis, and documentation end-to-end for key initiatives, ensuring quality and consistency of BA deliverables

5

Mandatory (Experience 4): Must have experience translating business needs into functional specifications, user stories, and process flows with senior stakeholders

6

Mandatory (Experience 5): Must have experience defining and driving BA best practices, standards, templates, and process improvements

7

Mandatory (Experience 6): Must have experience overseeing testing, validation, and stakeholder sign-off across workstreams

8

Mandatory (Skill 1): Must have strong requirement-gathering, documentation, and stakeholder-management skills.

9

Mandatory (Skill 2): Must have excellent communication, analytical, and leadership abilities, with a data-informed decision-making approach

10

Mandatory (Domain): Must have a background in the BFSI (Banking, Financial Services & Insurance) sector

11

Mandatory (Shift): Must be willing to support calls during EST hours (this is an EST-based project)

12

Preferred (Tools): Hands-on experience with Unqork or other low-code / no-code platforms

Associate Product Manager TAP INVEST

Location: Bangalore · On-site, 5 days/week in office

Experience: 1–3 years, in Product, Analytics, or Consulting Function:

Product Management

About Tap Invest

Tap Invest is India's leading Fixed Income Investment Platform, committed to empowering investors with secure and smart investment opportunities. Join us in the pursuit of Financial Freedom through our innovative approach to wealth creation. The Role As a Associate Product Manager at Tap Invest, you will own end-to-end product structure for your area - from framing the problem to shipping and measuring the outcome. You'll drive growth-centric features that move core metrics, and lead the infrastructural and platform changes that let the product scale reliably.

What You'll Do → Own end-to-end product structure — from problem framing and scoping to shipping and measuring outcomes. → Build growth-centric features that move activation, engagement, and retention metrics. → Lead infrastructural and platform changes needed to scale the product reliably. → Work closely with engineering, design, and stakeholders to turn strategy into shipped product. → Build high-impact product experiences that help users make smarter investment decisions. → Own outcomes, not just features or sprints. → Tackle complex, ambiguous problems across investments, user engagement, and more.

What We're Looking For → 1–3 years of experience in Product Management, Analytics, or Consulting. → Strong hands-on SQL skills — comfortable pulling and interpreting data independently. → Proven ability to scope problems and write clear PRDs from ambiguous inputs. → A strong sense of ownership — you drive things to closure without being told to. → Ability to lead with clarity, aligning engineering, design, and stakeholders around a shared plan. → Strong with data — comfortable using it to prioritize, validate, and course-correct.

Good to Have → Prior experience in Fintech or BFSI — a strong plus.  

▌ ABOUT BXI WORLD

At BXI (Barter Exchange of India), we have reinvented the age-old concept of bartering for the modern Indian enterprise. We empower businesses to let their goods and services work for them — transforming inventory into a powerful engine for growth. Our digital marketplace connects you with 10+ categories of products and services available for exchange from over 100+ trusted brands. BXI is a business community where reputed organizations join to exchange goods and services, creating a vibrant marketplace where businesses trade without cash.

▌ ABOUT THE ROLE

We are looking for a Finance & Accounts Manager who is not just a numbers person, but a strategic finance partner who can drive analytical rigour, compliance, and financial excellence across BXI. You will own FP&A, MIS, P&L, and ensure our financial operations are audit-ready and growth-aligned — with specific exposure to fintech product workflows.

▌ KEY SKILLS

 FP&A  |   MIS  |   P&L Management  |   Financial Accounting  |   Audit & Compliance  |   KYC & Onboarding  |   Fintech  |   Analytical Thinking 

▌ WHAT YOU'LL DO

•    Lead FP&A (Financial Planning & Analysis) — budgeting, forecasting, and variance analysis

•    Prepare and present MIS reports — timely, accurate, and decision-ready

•    Own P&L management — monitor performance, flag risks, and drive cost efficiencies

•    Manage financial accounting including ledgers, reconciliations, and month-end close

•    Support brand KYC and onboarding processes as relevant to fintech compliance

•    Lead audit readiness and ensure compliance with all regulatory and statutory requirements

•    Liaise with online product teams for finance integration in fintech workflows

•    Drive analytical insights from financial data to support leadership decision-making

•    Coordinate with auditors, banks, and regulatory bodies as required

▌ WHAT WE'RE LOOKING FOR

•    3+ years of experience in finance and accounts, preferably in fintech or tech-driven companies

•    Strong expertise in FP&A — financial modelling, budgeting, and forecasting

•    Hands-on experience in MIS preparation and P&L management

•    Solid understanding of financial accounting principles and practices

•    Prior exposure to online product environments in fintech is highly preferred

•    Working knowledge of brand KYC, onboarding compliance, and audit processes

•    High analytical acumen — ability to interpret data and communicate insights clearly

•    Proficiency in accounting software and MS Excel (advanced level)

•    Inter CA / MBA Finance / CMA preferred

Sr.Data Scientist,Python, AI ML

We are looking for a skilled Data Scientist to analyze complex datasets, develop predictive models, and generate actionable insights that support business decisions. The ideal candidate should have strong statistical, analytical, and programming skills, along with hands-on experience in machine learning.

🚀 We’re Hiring | Data Scientist 🧠📊

Ready to turn data into real-world intelligence? Join us and work on exciting AI/ML & data-driven solutions!

🔹 Experience: 8+ Years

🔹 Must-Have Skills:

🐍 Python | 🤖 Machine Learning | ☁️ Cloud | 🧠 NLP | 📊 Data Visualization

📍 Location: Pune

💼 Work Mode: Work from Office

If you're passionate about Data Science, AI & solving complex business problems, we’d love to hear from you!

📩 Interested? Kindly text

#Hiring #DataScientist #DataScience #MachineLearning #Python #NLP #AI #Cloud #DataVisualization #TechJobs #HiringNow