Business Analyst

Department

Product & Technology

Location

On-site | Prabhat Road, Pune

Experience

3-5 Years in a Data Engineering or Analytics Role

Domain

Fintech / Wealth Management — non-negotiable

Compensation

11-12 LPA Fixed + Performance Bonus

Growth

Title upgrade + salary revision at 12–18 months for strong performers

Why this role is different from most Data Engineer postings

You will work directly with the founding team on a live wealth management platform used by HNI and NRI clients. You will not spend years in a queue waiting to matter your work ships to production, your analysis influences product decisions, and you will guide junior teammates from day one. If you perform, a raise and title upgrade are on the table within 1218 months. This is the kind of early-team role that defines careers.

About Cambridge Wealth

Cambridge Wealth is a fast-growing, award-winning Financial Services and Fintech firm obsessed with quality and exceptional client service. We serve a high-profile clientele NRI, Mass Affluent, HNI, and ultra-HNI professionals and have received multiple awards from major Mutual Fund houses and BSE. We are past the zero-to-one stage and now focused on scaling our features and intelligence layer. You will be joining at exactly the right time.

What You Will Be Doing

This is a central, hands-on data engineering role at the intersection of financial analytics and applied ML. You will own the data pipelines and analytical models that power investment insights for wealth management clients transforming transaction data and portfolio information into measurable, actionable intelligence.

We are not looking for someone who just keeps the lights on. We want someone who looks at a working system and immediately sees how to make it 10x faster, cleaner, and smarter using AI and automation wherever possible.

Key Responsibilities:

Data Engineering & Pipelines

• Build and optimize PostgreSQL-based pipelines to process large volumes of investment transaction data.
• Design and maintain database schemas, foreign tables, and analytical structures for performance at scale.
• Write advanced SQL — window functions, stored procedures, query optimization, index design.
• Build Python automation scripts for data ingestion, transformation, and scheduled pipeline runs.
• Monitor AWS RDS workloads and troubleshoot performance issues proactively.

Financial Analytics & Modelling

• Develop analytical frameworks to evaluate client portfolios against benchmarks and category averages.
• Build data models covering mutual fund schemes, SIPs, redemptions, switches, and transfer lifecycles.
• Create materialized views and derived tables optimized for dashboards and internal reporting tools.
• Analyse client transaction history to surface patterns in investment behaviour and financial discipline.

Applied ML & AI-Driven Development

• Use Python (Pandas, NumPy, Scikit-learn) for trend analysis, forecasting, and predictive modelling.
• Implement classification or regression models to support financial pattern detection.
• Use AI tools — LLMs, Copilots — to accelerate ETL development, code quality, and data cleaning.
• Identify opportunities to automate repetitive data tasks and advocate for smarter tooling.

Data Quality & Governance

• Own data integrity end-to-end in a live, high-stakes financial environment.
• Build and maintain validation and cleaning protocols across all financial datasets.
• Maintain Excel models, Power Query workflows, and structured reporting outputs.

Collaboration & Junior Mentorship

• Work directly with Product, Investment Research, and Wealth Advisory teams.
• Translate open-ended business questions into structured queries and measurable outputs.
• Guide 1–2 junior trainees — review their work, set code quality standards, and help them grow.
• Present findings clearly to non-technical stakeholders — no jargon, just clarity.

Skills — What We Need vs. What Helps

Skill / Tool

Requirement

Must-Haves:

SQL & PostgreSQL (window functions, stored procedures, optimization)

Python — Pandas, NumPy for data processing and automation

ML fundamentals — classification or regression (Scikit-learn)

AWS RDS or equivalent cloud database experience

Financial domain knowledge — mutual funds, SIPs, portfolio concepts

Python data visualization — Matplotlib, Seaborn, or Plotly

Strong Advantage

Excel — Power Query, advanced modelling

Materialized views, query planning, index optimization

Experience with BI/dashboard tools

Good to Have

NoSQL databases

Prior fintech or wealth management startup experience

Financial Domain — Non-Negotiable

This is a wealth management platform. You must come in with a working understanding of:

• Mutual fund structures, scheme types, and NAV-based transactions
• Investment lifecycle — SIPs, Lump Sum, Redemptions, Switches, and STPs
• Portfolio allocation and benchmarking against indices (e.g. Nifty 50, category averages)
• How HNI/NRI clients interact with financial products differently from retail investors

You do not need to be a CFA. But if mutual funds and portfolio analytics are completely new territory, this role is not the right fit right now.

The Culture Fit — Read This Carefully

We are a small, fast-moving team. This is not a place where you wait for a ticket to arrive in your queue. The right person for this role:

• Has worked at a small startup before and is used to wearing multiple hats
• Finds broken or slow data systems genuinely irritating and fixes them without being asked
• Reaches for Python or an LLM when there is a repetitive task — automating is instinctive
• Is comfortable saying 'I don't know but I'll find out' and follows through independently
• Wants visibility and ownership, not just a well-defined job description
• Is looking for a role where strong performance is directly visible and rewarded

Growth Path — What Happens If You Perform

This is not a vague 'growth opportunity' pitch.

If you hit the bar in your first 12–18 months, you will receive a salary revision and a title upgrade to Senior Data Engineer or Lead Data Engineer depending on team expansion. As we scale our Data and AI team, this role is the natural stepping stone to a team lead position. You will also gain direct exposure to founding-team decision-making — the kind of access that is hard to get at larger companies.

Preferred Background

• 2–4 years in a data engineering or analytics role at a startup or small Fintech
• Experience in a live product environment where data errors have real consequences
• Exposure to portfolio analytics, investment research, or wealth management platforms
• Has mentored or reviewed code for at least one junior team member

Hiring Process

We respect your time. The process is direct and moves fast.

• Screening Questions — 5 minutes online
• Online Challenge — MCQ(Data, SQL, AWS, etc), and one applied ML or analytics problem, Communication Skills and Personality (focused, not trick questions)
• People Round — 30-minute video call, culture and communication
• Technical Deep-Dive — 1 hour in person, live financial data problems and your past work
• Founder's Interview — 1 hour in person, growth conversation and mutual fit
• Offer & Background Verification

We’re an early-stage AI SaaS startup looking for a hands-on LinkedIn Marketing Specialist to drive growth and lead generation. This is an execution-focused role — you will work directly with the founder and a designer, owning ideas from strategy through implementation.

What You’ll Do

• Execute LinkedIn-first GTM initiatives (organic + outbound)
• Generate qualified leads via content, outreach, and positioning
• Create high-engagement posts, carousels, and campaign ideas
• Manage founder/company LinkedIn presence
• Run targeted outreach and follow-ups
• Track performance and iterate quickly

What We’re Looking For

• Proven hands-on LinkedIn marketing experience (B2B/SaaS preferred)
• Strong understanding of outbound and GTM fundamentals
• Ability to drive results without relying mainly on paid ads
• Self-starter comfortable in a fast-moving startup
• Able to work independently with minimal supervision

Backend Developer responsible for managing back-end services and the interchange of data between the server and the users.

Your primary focus will be the development of all server side logic, definition and maintenance of the central database, and ensuring high performance and responsiveness to requests from the front-end.

We are looking to recruit a candidate for a role that will require:

• Create and consume restful APIs
• Design, develop, and maintain internal and external applications
• Build efficient, testable, and reusable modules
• Write high quality, structured application/interface code and documentation
• Identify solutions through research and collaboration that resolves the root of problems as they arise
• Define functional and technical requirements for application software to develop skills and knowledge
• Troubleshoot, test and maintain the core product software and databases to ensure strong optimization and functionality
• Contribute in all phases of the development lifecycle

Requirement

∙ Proficient in Node.JS

∙ 2+ years’ experience designing, querying, and updating databases in MySQL/nosql 

∙ Passion for best design and coding practices and a desire to develop new bold ideas

∙ Good to have knowledge of AWS, Redis, ElasticSearch

Education: Min. Graduate in related discipline

Work experience: 2 years relevant experience
Compensation: Based on Industry Standards
Interview Mode : Face to Face 

What you'll do :

• Work closely with product managers and engineers to design, implement, test, and continually improve scalable frontend and backend services.
• Develop products using agile methods and tools.
• Develop commercial-grade software that is user-friendly and suitable for a global audience.
• Plan, create, and execute (manual and automated) tests.
• Be involved and participate in the overall application lifecycle.
• Building reusable code and libraries for future use.
• Staying up to date with current technologies and providing insights on cutting-edge software approaches, architectures, and vendors.
• Ensure that non-functional requirements such as security, performance, maintainability, scalability, usability, and reliability are considered when architecting solutions.
• 
  

Skills you bring to the table:

• 3+ years of relevant experience. 
• Fluency in any one of JavaScript, TypeScript, or Python.
• Should have built large scalable enterprise applications from scratch.
• Strong experience in architectural patterns, High-level designs.
• Experience in NoSQL and SQL DBs.
• Have a knack for launching and iterating on products quickly with quality and efficiency.
• Strong problem-solving skills.
• Willingness to learn and ability to flourish in a dynamic, high-growth, entrepreneurial environment.
• Hands-on, self-starter, capable of working independently.
• True love for technology and what you do.
• Maniacal attention to detail.

Issuing domestic, International flight tickets

Co-ordinating with the airlines

Preferred knowledge of IATA, GDS, Amadeus, Abacus Sabre

• Location - Andheri, Mumbai
•  Bachelor’s degree in human resources.
•  Minimum 3- 5 years of relevant experience in human resources.
• Additional training/certification in Payroll Management – may be advantageous.
•  Full understanding of HR functions and best practices.
• Well-versed with HRMS
• Onboarding and Exit formalities
• Well-versed with entire Payroll Cycle
• HR documentation
• Employee grievances
• Prepare and maintain employee master (MIS) (Good with excel)
• Good with drafting letters and policies
• Work from office
• 10 am to 7 pm (Mon to Sat)

This role requires a self-motivated leader with direct Product Management experience delivering Solutions around MS Teams Telephony. Candidate must have a keen sense of the overall UCC market, competitive awareness of the India Unified Communications and Collaboration solutions market and provide critical strategic direction related to India Domestic and Global UC objectives.

The Candidate will be responsible for the India UCaaS/MCS objectives and targets. Also, responsible for Product Life cycle management that involves Envisage, Concept, Framework, Partnerships, Process, Engineering validation, Documentation, GTM etc.

the other responsibility involves Pricing, Bundling, Enablement through Trainings, Adoption and Growth strategy that plugs into our entire UCaaS/MCS portfolio. Critical to success will be identifying Enterprise and Partner offers, migrating customers to the next generation UCC platform with Regulatory compliance, differentiated solution capabilities ensuring that lifecycle management and improving adoption services.

The Product Manager will champion and execute across cross-functional teams and drive solution enablement discussions with Sales, Solutions, Engineering, Service Assurance, Operations, Technology & Service Development teams. The successful candidate will be setting objectives and delivering results that have a significant impact on product adoption.

The Product Manager will champion projects through the Tata Communications New Product Introduction/Agile Development process and lead the UCaaS/MCS Workstream that is accountable for the delivery and customer acceptance of the solutions.

The Global Product Manager will be fully responsible for the Annual Operating Plan (AOP), P&L and CAPEX/OPEX of all UCaaS/MCS business initiatives and programs. Key focus will be on Gross and Net Revenue contribution and growth targets that are assigned to the UCaaS/MCS portfolio.