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Junior Finance Executive
Junior Finance Executive
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Junior Finance Executive

Agency job
1 - 3 yrs
₹2L - ₹3L / yr
Pune
Skills
Tally
MS-Office
Accounts receivable
Accounting
Finance
Junior Finance Executive

Skills
  • Tally experience is must
  • Account Receivable

Location - Pune

Experience - 1-3 years



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Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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About JetSynthesys Pvt. Ltd.

Founded :
2012
Type :
Services
Size
Stage :
Bootstrapped

About

JetSynthesys Pvt. Ltd. is part of the Navani family owned JetLine Group of Companies. JetSynthesys is the group's most innovative company in the promising Digital and Technology Business World with a vision to create world class digital products, platforms and services in India and play an active role in the digital daily life of 1.3 billion Indians extending that to all individuals on the planet through very powerful targeted Big Data analytics and unbeatable content and user experiences.
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Bengaluru (Bangalore)
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Job Title: Quality Analyst – Business Development Team

Location: Bangalore, Koramangala

Experience: Minimum 1 year in Inside Sales/Business Development (US/UK Markets)

Department: Business Development


Job Overview:

We are seeking a detail-oriented Quality Analyst to support our Business Development team in ensuring the highest level of performance, communication standards, and client engagement. This role will play a crucial part in enhancing team effectiveness, monitoring lead engagement quality, and identifying areas for continuous improvement in our business development practices.


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• Monitor and evaluate BD team interactions (calls, emails, proposals) to ensure adherence to sales processes, communication standards, and overall client experience.

• Audit discovery calls, presentations, and follow-ups to assess alignment with business goals and customer needs.

• Review and assess proposal responses and RFP documentation for quality, customization, and value proposition.

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• Identify training needs and conduct feedback sessions to improve performance metrics and communication effectiveness.

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• Maintain documentation of quality standards, audit outcomes, and improvement initiatives.

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• Minimum 1 year of experience in inside sales or business development for the US/UK market with revenue-based responsibilities.

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Department

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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.

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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


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Our client is a Global D2C Consumer Fashion brand from India founded by alumni of IIT & IIM. The founding team has 15 years of experience across startups and large companies. Our client has over 60,000+ Happy Customers and has been featured by media outlets like CNBC TV18, ELLE, Cosmopolitan, ET Prime, YourStory.
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Experience: 4-8 Years 
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  • Passion for enabling team members

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Bonus Requirements:

  • Bachelors/Masters degree in Engineering or equivalent.
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Latent Bridge Pvt Ltd
at Latent Bridge Pvt Ltd
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Palak Pal
Posted by Palak Pal
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4 - 12 yrs
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JTA
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Functional Title and/or Role Description: Reference Data Analyst / Developer 
Department: Information Systems   
Reports to: Tech Lead - Regulatory Reporting IT, Product Control  IT & Reference Data IT Internal Development & Support 


About the Department: Information Systems  

The Information Systems Department (‘ISD’) provides a full range of state of the art technology services to all departments within Mizuho International plc in London.  This includes teams servicing the client-facing business units, Operations, Finance and Risk departments.   
The department utilises modern delivery methodologies & techniques including Agile, Containerisation & Continuous integration.  
Each team has resources to provide project management, analysis, software development, package implementation, systems integration services and application support and is expected to contribute to the change. 


Primary Responsibilities  

Summary 

Within Regulatory Reporting, Reference Data & Product Control IT team, the developer will work towards enhancing and supporting our newly delivered financial data reference data platform, GoldenSource. This requires involvement in development and post production support project life cycle. This role will expose the individual to all business areas, including front office, settlements, custody and accounting.  
This role will also involve providing 3rd Line support for any implemented solutions including incident, problem, and defect management 

Specific Responsibilities 

Design and development of the instrument reference data module 
Conduct systems testing and support user acceptance testing 
Dealing with day-to-day production problems and maintenance.  This may require working shifts and/or being on-call out of normal working hours. 
Adhering to Mizuho International development standards and procedures, including change control 

Person Specification  

Essential 

Knowledge of the GoldenSource product 
Experience in implementing and supporting the GoldenSource product in a financial institution 
Minimum five years’ experience in Java and J2EE 
Experience in using object oriented methodologies 


Desirable 

A broad understanding of Fixed Income,  Equity and/or Futures processing through investment banking experience 
Experience in using TDD/BDD agile methodology 

Technical Knowledge/Skills 

Essential

Experience with Publish/Subscribe messaging paradigms, distributed transaction processing based on JTA/JTS 
Experience with installing, configuring and monitoring JBoss 
GoldenSource Security master module 
GoldenSource Customer & Counterparty module  
UNIX skills in particular Linux 
Excellent relational database skills, preferably ORACLE 
Experience of using automated testing tools such as JUnit and mocking libraries such as jMock 
Experience of working with XML based technologies such as XSLT 

Desirable

Experience of Subversion, Ant, Maven and CI frameworks such as Bamboo. 
Building connectors using the GoldenSource product tools 
Experience of  software configuration management 
Experience with integration/acceptance testing frameworks such as FitNesse 
WebServices 
Document database experience, preferably MongoDB 
Experience of Javascript on the client and Node.js 

Qualifications 

Degree or equivalent.  
Active participant in relevant forums/external working groups. 

Key Behaviors/Competencies

Operational Effectiveness and Innovation: Achieving Quality Results: 

Delivering Tasks – Silver 
Problem Solving – Silver 
Flexibility & Drive to Improve – Silver 
Risk Awareness – Silver 

Enhance product Scope: 

Strategic Business Management – Silver 
Business Awareness – Silver 

People: 

Leadership – Silver 
Management – Silver 
Communication – Silver 
Ethics and Conduct Level 1 – Silver  
Ethics and Conduct Level 2 – Silver 

Client Centricity – Silver 

Effective Collaboration:  

Team Working in Your team – Silver 
Team Working With Other Teams – Silver
Read more
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Shubham Vishwakarma's profile image

Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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