Finance Head

Company: IDFC First Bank

About the company:

IDFC FIRST Bank stands out as the new-age bank in India, driven by principles of ethical banking, technological innovation, and societal welfare. With a strong commitment to serving customers ethically, the ‘Near and Dear’ Test, assures that our products meet the standards we'd want for our loved ones. We reject unethical income and simplify our offerings, eliminating fees on various services such as Savings Accounts, Debit Cards and transactions, making us the FIRST and only bank in India to do so. Our approach is customer-centric, with transparent and user-friendly products, levelling up the industry standards.

Role Overview:

Location      : Navi Mumbai

Experience    : 6 to 10 years

Compensation : Upto 27 LPA (Commensurate with Experience)

Key Responsibilities: 

• Banking industry Experience, preferably in Securities Lending Domain (LAS – Loan against securities).
• Solution experience in one of more of the following Lending areas:- Business Process Automation, Credit & Portfolio Analytics, Commercial Loan Product, Loan Servicing and Risk Management.
• Familiar with multiple securities events i.e. Share sale, corporate action, Revaluation, DP & LTV Calculations etc.
• Should be able to play catalyst role between business and IT.
• Good Communication skills with ability to lead domain discussions with BFSI Stakeholders.
• Should be able to provide domain support to development and technical teams on core Securities Lending domain.
• Provide support to business teams in terms of answering questions, clarifying requirements, and resolving issues as they arise during design and development.

Designation: Junior C/C++ Developer

Qualification: - MSc in Computer Science / Btech in CSc. or IT

Job Responsibilities:

·        Strong C/C++ programming skills

·        Strong Shell Scripting skills

·        Strong debugging skills using debuggers like GDB

·        Debug and resolve issues in existing codebase, identifying and fixing bugs to ensure the stability and performance of the software.

·        Familiarity with Linux programming environment.

***Immediate joiners preffered***

Requirement Analysis

• Programming/Software Development
• Developer Testing
• Code Review
• Client Handling

TechUnity is looking for a highly motivated and skilled React JS / React Native software developer who is comfortable with both front and back-end programming. Developer will be designing and implementing attractive and intuitive Web-based user interface and developing backend services to support front-end requests. Developer will be required to see out a project from conception to final product, requiring good organizational skills and attention to detail.

Other Responsibilities:

· Seeing through a project from conception to finished product

· Designing and coding of frontend web architecture

· Designing user interactions on web pages

· Developing backend server architecture

· Creating specification for servers and databases needed

· Ensuring responsive performance of applications.

· Designing and developing APIs.

· Meeting both technical and consumer needs.

· Staying abreast of developments in web applications and programming languages

· Good problem-solving skills.

· Excellent verbal communication skills

• Develop and execute influencer marketing strategies and creative

campaigns

• Identify and build relationships with prominent influencers
• Building an influencer ecosystem for e-commerce/start-ups.
• Research relevant influencers and contact them.
• Build good relationships with influencers.
• Negotiating with influencers
• Monitor influencer activity, analyse their performance, identify areas

of improvement, and recommend

• Research relevant industry experts, competitors.
• Brainstorm new, creative approaches to influencer/ affiliate/

collaboration campaigns.

• Liaising with the marketing team to create and coordinate

marketing strateg

We are a nascent quantitative hedge fund led by an MIT PhD and Math Olympiad medallist, offering opportunities to grow with us as we build out the team. Our fund has  world class investors and big data experts as part of the GP,  top-notch ML experts as advisers to the fund, plus has equity funding to grow the team, license data and scale the data processing.

We are interested in researching and taking in live a variety of quantitative strategies based on historic and live market data, alternative datasets, social media data (both audio and video) and stock fundamental data.

You would join, and, if qualified, lead a growing team of data scientists and researchers, and be responsible for a complete lifecycle of quantitative strategy implementation and trading.

Requirements:

• Atleast 3 years of relevant ML experience
• Graduation date : 2018 and earlier
•   3-5 years of experience in high level Python programming.
• Master Degree (or Phd) in quantitative disciplines such as Statistics, Mathematics, Physics, Computer Science in top universities.
•   Good knowledge of applied and theoretical statistics, linear algebra and machine learning techniques. 
•   Ability to leverage financial and statistical insights to research, explore and harness a large collection of quantitative strategies and financial datasets in order to build strong predictive models.
• Should take ownership for the research, design, development and implementation of the strategy development and effectively communicate with other team mates
•   Prior experience and good knowledge of lifecycle and pitfalls of algorithmic strategy development and modelling. 
•   Good practical knowledge in understanding financial statements, value investing, portfolio and risk management techniques.
•   A proven ability to lead and drive innovation to solve challenges and road blocks in project completion.
• A valid Github profile with some activity in it

Bonus to have:

•   Experience in storing and retrieving data from large and complex time series databases
•   Very good practical knowledge on time-series modelling and forecasting (ARIMA, ARCH and Stochastic modelling)
•   Prior experience in optimizing and back testing quantitative strategies, doing return and risk attribution, feature/factor evaluation. 
•   Knowledge of AWS/Cloud ecosystem is an added plus (EC2s, Lambda, EKS, Sagemaker etc.) 
•   Knowledge of REST APIs and data extracting and cleaning techniques 
•   Good to have experience in Pyspark or any other big data programming/parallel computing
•   Familiarity with derivatives, knowledge in multiple asset classes along with Equities.
•   Any progress towards CFA or FRM is a bonus
• Average tenure of atleast 1.5 years in a company