QA Engineer

REVIEW CRITERIA:

• Strong Credit & Risk strategist profile
• Must have 2.5+ years of experience as credit and risk strategist/analyst in unsecured personal loan in B2C Fintech Product Companies (or NBFC)
• Must have strong understanding of automated underwriting and SMS underwriting for lending
• Must have experience with scorecards, rule engine, bureau data, device signals and behavioural insights
• B2C Fintech Product companies 

ROLE & RESPONSIBILITIES:

We are looking for a Credit & Risk Lead who can craft smart, data-driven credit strategies to scale the app while keeping delinquencies low.

WHAT YOU’LL DO:

• Build and refine credit strategies for short-tenure, small-ticket unsecured personal loans.
• Work with Data Science to improve decision engines, scorecards, rules, and real-time underwriting models.
• Create sharp risk segmentation using behaviour, device signals, bureau data, fraud patterns, and portfolio trends.
• Analyse bounce rates, roll rates, early-bucket trends, and cohort behaviour to identify segments driving delinquencies.
• Share clear insights with Collections to boost pre-due and early DPD performance and improve cure rates.
• Track vintages, cohorts, and DPD curves to iterate policies, limits, and approval logic continuously.
• Strengthen fraud detection, identity checks, and thin-file underwriting frameworks to ensure clean approvals.
• Own policy governance, compliance, documentation, and alignment with RBI Digital Lending Guidelines.
• Stay ahead of market trends, competitor practices, and regulatory shifts to keep the risk engine future-ready.

IDEAL CANDIDATE:

• 2.5+ years in unsecured personal loan risk within a fintech or NBFC.
• Strong understanding of digital underwriting, policy design, and credit decisioning for short-tenure PL.
• Experience working with scorecards, rule engines, bureau data, device signals, and behavioural insights.
• Ability to work closely with Data Science, interpret large datasets, and convert insights into clear credit actions.
• Strong communication, cross-functional collaboration, and a proactive, analytical mindset.

PERKS, BENEFITS AND WORK CULTURE:

• Work directly with Founders: Mikhil Innani, former co-founder of PharmEasy and ex-Product Head at Hotstar, and Diksha Nangia, a former banker and CFA Charterholder.
• Best of both worlds: startup energy + listed company stability.
• Competitive pay and fast-track growth.

Job Title: iOS Developer

Experience Required: 1 to 4 Years

Location: Pune

Employment Type: Full-Time

Job Summary:

We are looking for a passionate and skilled iOS Developer to join our mobile development team. The ideal candidate will be responsible for developing, enhancing, and maintaining iOS applications. You should have a strong understanding of iOS frameworks, Apple's design principles, and the ability to work independently or with a team.

Key Responsibilities:

• Design and build advanced applications for the iOS platform.
• Collaborate with cross-functional teams to define, design, and ship new features.
• Work with outside data sources and APIs.
• Ensure the performance, quality, and responsiveness of applications.
• Identify and correct bottlenecks and fix bugs.
• Continuously discover, evaluate, and implement new technologies to maximize development efficiency.
• Maintain code quality, organization, and automation.

Required Skills:

• Proficient with Swift and/or Objective-C.
• Experience with iOS frameworks such as UIKit, Core Data, Core Animation, etc.
• Familiarity with RESTful APIs to connect iOS applications to back-end services.
• Understanding of Apple’s design principles and interface guidelines.
• Experience with offline storage, threading, and performance tuning.
• Knowledge of code versioning tools (such as Git).
• Familiarity with cloud message APIs and push notifications.
• Experience with third-party libraries and APIs.

Business Development Representative (BDR)

Company Name: F22 Labs

Location: Chennai (WFO)

Experience: 0 - 2 yrs

Our Company

F22 Labs has worked with 100+ entrepreneurs over 11 years, including Hollywood celebrities and Fortune 500 companies. We're now focusing on AI transformation projects for enterprises, leveraging our existing POCs in computer vision, voice AI, and custom model development.

The Opportunity

We're looking for a hungry, coachable individual to join our sales team and help us transition from startup clients to mid-market enterprises. This is a ground-floor opportunity where you'll learn everything from scratch while building a $1M+ sales pipeline.

This role is perfect for someone who:

• Wants to learn sales from the ground up
• Loves the grind of outbound prospecting
• Gets energized by rejection (because there will be a lot of it)
• Wants to earn serious money through performance

What You'll Actually Do

• Cold calling: 100 calls per week to enterprise prospects
• Cold outreach: 100 personalized emails per week to CTOs, Chief AI Officers, and Digital Transformation heads
• LinkedIn prospecting: 100 targeted messages weekly to decision makers
• Research & qualification: Identify companies needing AI transformation
• Meeting booking: Schedule qualified meetings for our leadership team
• Pipeline management: Track every activity, response, and outcome in our CRM

Success Metrics (Non-negotiable)

• 1 qualified meeting booked per week minimum
• Target companies: Mid-market/enterprise ($50M+ revenue)
• Project size: $15K-$100K+ AI transformation projects
• Industries: Insurance, banking, manufacturing, healthcare
• Decision makers: CTOs, Chief AI Officers, Engineering Heads, Digital Transformation leaders

What We Provide

• Base salary: ₹30,000-35,000/month
• Commission: ₹35,000 for every project that closes (potentially doubling your income)
• Tools: LinkedIn Sales Navigator, email automation, CRM access
• Training: Complete sales training from our founders
• Growth path: Move into Account Executive role as we scale

What We Expect

• Excellent English communication (this is critical - you'll be talking to Fortune 500 executives)
• Data-driven mindset: Daily activity tracking and weekly performance reviews
• Persistence: Most prospects will ignore you. The right ones won't.
• Coachability: We'll teach you everything, but you need to implement feedback.
• Self-motivation: You'll work independently with regular check-ins

Daily Reality Check

• 8-10 hours of outbound prospecting daily
• Detailed daily reports on activities and results
• Weekly 1:1s to review performance and optimize approach
• Monthly pipeline reviews and target adjustments
• Lots of "no" responses and cold shoulders
• Occasional breakthrough meetings that make it all worth it

Ideal Candidate

• Location: Chennai
• Experience: 0-2 years (we prefer hungry beginners over bad habits)
• Education: Any degree (communication skills matter more)
• Personality: Competitive, resilient, curious, detail-oriented
• Goals: Wants to build a career in B2B sales and earn significant money

Red Flags (Please Don't Apply If...)

• You expect immediate success without putting in the work
• You get discouraged by rejection
• You don't like tracking detailed metrics
• You want a "relationship building" role without cold prospecting
• You're looking for a comfortable, low-pressure job

Selection Process

1. Task
2. HR Interview
3. Final Interview

Profile Summary: The Software Engineer - Full Stack is responsible for software development as a member of a project team. He/she works closely with subject matter experts, business analysts, quality analysts, and others to design, develop, and test software solutions to business problems.

Responsibilities:

• Solve problems of considerable scope and complexity.
• Designing, coding (at least 80%), debugging and optimizing both frontend and backend components as well as internal tools, such as configuration management and development/test environments.
• Help select and incorporate new tools and methods.
• Work closely with project, application, and enterprise architects to develop solutions.
• Drive the continuous evolution of best practices within the development team.
• Identify and recommend where increased automation, performance enhancements, application enhancements and quality enhancements may be incorporated.
• Balance customer and business needs to design, develop, test, and deliver against timelines.
• Contribute to architecture and code design, estimates, code reviews, and documentation to ensure top quality software.
• Keeps current with emerging technologies and technological developments within the industry.
• Monitors and evaluates competitive applications and products.
• Reviews current practices relevant to the solution of assigned projects.
• Remains flexible and responsive to changing priorities and multiple, concurrent responsibilities.
• Be a talent multiplier that motivates the team around them to excel and perform well.
• Other duties as assigned.

Requirements:

• Bachelor's Degree - Computer Science, Management Information Systems, or related field.
• 3-5 years of software development experience.
• Experience in lieu of education: Two years of experience for every year of formal education required. Application development experience using. NET, C#, . NET Core, SQL Server, CSS, and other web development technologies.

Technologies & Languages

• Azure
  • Databricks
  • SQL Sever
  • ADF
• Snowflake
  • Data Cleaning
  • ETL
• Azure Devops
• Intermediate Python/Pyspark
• Intermediate SQL
• Beginners' knowledge/willingness to learn Spotfire
• Data Ingestion
• Familiarity with CI/CD or Agile

Must have:

• Azure – VM, Data Lake, Data Bricks, Data Factory, Azure DevOps
• Python/Spark (PySpark) 
• SQL

Good to have:

• Docker
• Kubernetes
• Scala

He/she should have a good understanding in:

• How to build pipelines – ETL and Injection
• Data Warehousing
• Monitoring

Responsibilities:

Must be able to write quality code and build secure, highly available systems.

Assemble large, complex data sets that meet functional / non-functional business requirements.

Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc with the guidance.

Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.

Monitoring performance and advising any necessary infrastructure changes.

Defining data retention policies.

Implementing the ETL process and optimal data pipeline architecture

Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.

Create design documents that describe the functionality, capacity, architecture, and process.

Develop, test, and implement data solutions based on finalized design documents.

Work with data and analytics experts to strive for greater functionality in our data systems.

Proactively identify potential production issues and recommend and implement solutions