Clearing & Settlement Associate

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

Roles and Responsibilities

1. Database ERD design

2. Making Sure system is architected in a scalable manner

3. Using full knowledge of NodeJS Express React and Mongo / MySQL to create a error free software

Desired Candidate Profile

1. At least 1 years of work experience with MERN

2. Is good with GitHub

3. Understands React, Redux, Server Side Rendering, and Clean Code

• Design & build a highly scalable, robust backend architecture for our cloud services
• You will be part of a software development team for developing and enhancing SaaS applications.
• Take responsibility of entire module/feature set and develop, test, debug and maintain the application software throughout the product lifecycle
• Working with the Product Management Team to validate and plan new features
• Working with cross-functional teams to deliver stellar end user experience
• Research new technologies and tools that help in building the next generation of our services
• Test, debug and maintain the application software throughout the product lifecycle

• Must have experience with web development in Java 8+, Spring/J2EE or similar frameworks and technologies. (Mandatory)
• Must have worked on REST API (Mandatory)
• Should be an enthusiast for writing clean, reusable code, willing to learn new things as a self-starter person
• 2+ years of strong relevant experience in developing Object-oriented technologies.
• Strong working experience with any of the following DBs - Postgres / MySQL / Oracle or MSSQL
  

E-COMMERCE MANAGER

Responsibilities

● Liaising and influencing cross-functionally within the senior management team, ensuring all stakeholders are engaged in E-Commerce activity, projects and strategy, and knowledge, assistance, and insight are acquired where needed.

● Managing the marketplaces, namely Amazon, and Flipkart and planning the presence of the organisation - in terms of the strategy, management, forecasts and results. These include short- and long-term objectives, customer metrics and overall performance.

● Oversee the day-to-day marketplace E-commerce operations, customer service, updates, post listings, promotions, merchandising, maintenance and performance.

● Develop budgets for all phases of marketplace E-commerce and execute marketplace promotions to maximise growth.

● Manage relationships with digital agencies and external third parties in the marketplace effectively to drive growth

● Develop and implement the assortment and inventory plan to match the sales plan. Work with other divisions to maximise inventory & provide ongoing strategic insights and recommendations for new marketplaces channels with growth plans.

● Collaborate with marketing, operations, finance, sales & customer service to drive the success of the eCommerce business.

● Improve the e-commerce experience and feature sets by evaluating new payment solutions, customer communication tools, mobile solutions, merchandising tools and other enhancements.

● Actively advocate for e-commerce business across all levels of the organisation.

● Working closely with analytics, product and category managers will be crucial to optimise and scale on marketplaces

Qualifications

● Experience of 1-2 years.

● Preference for talent with experience in the D2C 

● Strong knowledge of the marketplace.

● Must possess knowledge of the supply chain process, and commercials to improve the user journey by displaying relevant products on the website).

● Good team management and leadership skills.

● Excellent written and verbal communication skills.

● Should have a good emotional quotient.

● Should be good in data and analytical skills.

Controlling of Finance, General Accounting, General Ledger, Treasury management

Responsibilities:

• Development and Integration of user-facing design elements with server-side logic.
• Design and develop backend API services and databases to serve frontend applications.
• Code for multi-platform environments.
• Build reusable code and libraries for future use.
• Ensure responsiveness of applications.
• Optimization of the application for maximum speed and scalability.

Skills and Qualifications:

• Basic understanding of front-end technologies and platforms, such as JavaScript, HTML5, and CSS3.
• Proficient in Angular JS or ReactJS, Node.js and JavaScript.
• Integration of multiple data sources and databases into one system.
• Management of hosting environment, including database administration and scaling an application to support load changes.
• Understanding differences between multiple delivery platforms such as mobile vs desktop, and optimizing output to match the specific platform.
• Creating database schemas that represent and support business processes in one or more database technologies such as Mongo, MySQL etc.
• Implementing automated testing platforms and unit tests.
• Proficient knowledge of a back-end programming language. (Depending on the specific case, a developer should have the knowledge of one or more of Python, Ruby, JavaScript etc.)
• Proficient understanding of code versioning tools, such as Git.

Academic Qualifications:

• Engineering degree from a reputed institute

The Job
The Architect, Machine Learning and Artificial Intelligence including Computer Vision will grow and lead a team of talented Machine Learning (ML), Computer Vision (CV) and Artificial Intelligence (AI) researchers and engineers to develop innovative machine learning algorithms, scalable ML system, and AI applications for Racetrack. This role will be focused on developing and deploying personalization and recommender system, search, experimentation, audience, and content AI solutions to drive user experience and growth.

The Daily

• Develop innovative data science solutions that utilize machine learning and deep learning algorithms, statistical and quantitative modelling approaches to support product, engineering, content, and marketing initiatives.
• Build and lead a world-class team of ML and AI scientists and engineers.
• Be a hands-on leader to mentor the team in latest machine learning and deep learning approaches, and to introduce new technologies and processes. Single headedly manage the MVP and PoCs
• Work with ML engineers to design solution architecture and develop scalable machine learning system to accelerate learning cycle.
• Identify data science opportunities that deliver business value.
• Develop ML/AI/CV roadmap and educate both internal and external stakeholders at all levels to drive implementation and measurement.
• Hands on experience in Image processing for auto industry
• BFSI domain knowledge is a plus
• Provide thought leadership to enable ML/AI applications.
• Manage products priorities and ensure timely delivery.
• Develop and evangelize best practices for scoping, building, validating, deploying, and monitoring ML/AI products.
• Prepare and present ML modelling results and analytical insights that help drive the business to senior leadership.

The Essentials

• 8 + years of work experience in Machine Learning, AI and Data Science with a proven track record to drive innovation and business impacts
• 4 + years of managing a team of data scientists, ML and AI researchers and engineers
• Strong machine learning, deep learning, and statistical modelling expertise, such as causal inference modelling, ensembles, neural networks, reinforcement learning, NLP, and computer vision
• Advanced knowledge of SQL and experience with big data platform (AWS, Snowflake, Spark, Google Cloud etc.)
• Proficiency in machine learning and deep learning languages and platforms (Python, R, TensorFlow, Keras, PyTorch, MXNet etc.)
• Experience in deploying machine learning algorithms and advanced modelling solutions
• Experience in developing advanced analytics and ML infrastructure and system
• Self-starter and self-motivated with the proven ability to deliver results in a fast-paced, high-energy environment
• Strong communication skills and the ability to explain complex analysis and algorithms to non-technical audience
• Works effectively cross functional teams to build trusted partnership
• Working experience in digital media and entertainment industry preferred
• Experience with Agile methodologies preferred