- Responsible for making specialized plans and procedures for different offices and the IT groups, creating answers for the location of any far-reaching issues, and making their procedures progressively effective.
- Providing training to other junior developers and managing them to process tasks efficiently
- Work with various internal offices, including promotions, project improvements, and tasks to ensure that Salesforce status supports internal requirements by identifying usefulness and fulfillment.
- Application development for other peer developers
- Responsible for updating and making changes to already existing applications or making new ones according to client needs.
Shubham Vishwakarma
Full Stack Developer - Averlon
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Redux/Flux- Strong proficiency in React Native and JavaScript (ES6+).
- Experience with Redux, Context API, or other state management tools.
- Familiarity with TypeScript and strong understanding of mobile app architecture.
- Knowledge of native build tools like Xcode and Android Studio.
- Experience with RESTful APIs and third-party libraries.
- Familiarity with GraphQL is a plus.
- Hands-on experience in implementing pixel-perfect designs and animations.
- Proficiency in using libraries like React Navigation, NativeBase, or Material-UI.
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Senior ETL developer in SAS
We are seeking a skilled and experienced ETL Developer with strong SAS expertise to join
our growing Data Management team in Kolkata. The ideal candidate will be responsible for
designing, developing, implementing, and maintaining ETL processes to extract, transform,
and load data from various source systems into Banking data warehouse and other data
repositories of BFSI. This role requires a strong understanding of Banking data warehousing
concepts, ETL methodologies, and proficiency in SAS programming for data manipulation
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business users.
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particularly within the banking and financial services domain.
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• Bachelor's degree in Computer Science, Information Technology, or a related field.
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services industry.
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• Experience with other ETL tools (e.g., Informatica PowerCenter, DataStage, Talend)
is a plus.
• Solid understanding of data warehousing concepts, including dimensional modeling
(star schema, snowflake schema).
• Experience working with relational databases (e.g., Oracle, SQL Server) and SQL.
• Familiarity with data quality principles and practices.
• Excellent analytical and problem-solving skills.
• Strong communication and interpersonal skills.
• Ability to work independently and as part of a team.
• Experience with data visualization tools (e.g., Tableau, Power BI) is a plus.
• Understanding of regulatory requirements in the banking sector (e.g., RBI guidelines)
is an advantage.
Preferred Skills:
• Experience with cloud-based data warehousing solutions (e.g., AWS Redshift, Azure
Synapse, Google BigQuery).
• Knowledge of big data technologies (e.g., Hadoop, Spark).
• Experience with agile development methodologies.
• Relevant certifications (e.g., SAS Certified Professional).
What We Offer:
• Competitive salary and benefits package.
• Opportunity to work with cutting-edge technologies in a dynamic environment.
• Exposure to the banking and financial services domain.
• Professional development and growth opportunities.
• A collaborative and supportive work culture.
About Company
Our client is a leading mid‐market investment bank with strong practices around M&A, PE, Capital Markets, Institutional Equities, Wealth Management, Insurance Broking, and Portfolio Management Services.
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• Onboarding, Handling and Managing HNI / Ultra HNI clients.
• Accountable to achieve Annual revenue, AUM & Strategic product targets in the respective geography.
• Aiming for consistent growth of customer wallet share and book size.
• Advising and meeting clients on their business and investment needs based on their risk appetite and performance objective through various structuring solutions.
• Constantly review client portfolios and give a birds’ eye view.
• Ability to work in partnership with Federal Bank and drive leads & AUM.
• Service existing clients with the support of client servicing team
• Adherence to all regulatory, statutory, and corporate compliance standards
Requirements
• 8+ years of experience in Wealth Management space
• Must have completed MBA from a premier business school.
• Should have sound understanding of Wealth Management Products (MF, Bonds, PMS, AIFs, PE etc.) & markets.
• English is mandatory and command on local language would be beneficial.
• Ability to work in tandem with our channel partner and generate leads & business.
• Good communication and presentation skills
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- Establish and develop effective working relationships with all stakeholders. Advise hiring managers on interviewing techniques.
- Develop and implement ideas for improving the talent acquisition process and outcomes; identify key sourcing channels; develop and implement creative sourcing strategies, effectively gathering research, making direct contact calls, networking, leveraging relevant social media and employee referrals.
- Implement new sourcing methods
- Lead and own the Recruitment cycle which includes working closely with Senior Leadership, attracting and selecting appropriate talent, salary negotiations and onboarding. Supervise the recruiting team and monitor its progress towards its objectives.
- Responsible for effectively communicating the employer brand with potential talent and forging strong partnerships with the HR team, relevant stakeholders and recruiters.
- Taking initiatives in organizing recruitment drives and assisting in hiring resources for critical requirements while keeping track of recruiting metrics (e.g. time-to-hire and cost-per-hire).
- Gather and Understand from the external market, best practices to further improve the recruitment process.
- Update current and design new recruiting procedures (e.g. job application and onboarding processes).
- Recommend ways to improve our employer brand and employee referrals.
- Coordinate with department managers to forecast future hiring needs
- Proven work experience in extensive, fast-paced hiring in tech hires and senior leadership hires.
- Ability to identify and pursue best candidates with fitment to the culture of the company.
- Ability to draw up a long-term staffing plan and work to filling it in a time-bound manner.
Must-Haves
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- Ability to identify and pursue best candidates with fitment to the culture of the company.
- Ability to draw up a long-term staffing plan and work to filling it in a time-bound manner.Hands-on experience with Applicant Tracking Systems and HR databases.
- Experience with (phone and in-person) interviews, candidate screening, and evaluation.
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- Familiarity with social media and other professional networks (like GitHub).
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- A high level of ownership and a proactive approach is a must.
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Python- Degree in Computer Science (BS/MS), related technical field or equivalent practical experience
- 8+ years of industry experience in product development
- Experience in coaching and mentoring team members
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- Design and implement software components using up-to-date technologies and best practices.
- Comprehensive understanding of the REST architecture.
- Strong working experience in Angular,HTML5, CSS3
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- Experience with widely used design patterns.
- Should possess prior experience in building distributed multi-tier applications with single sign-on.
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- Basic understanding of server-side CSS pre-processing platforms
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- Good understanding of ReactJS, Native
- Basic understanding of Django REST framework
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*Candidate is expected to have a rigorous quantitative aptitude and go-get attitude.
*Candidate will be monitoring closely quantitative models in Derivatives markets and manage the Risk of its open Positions
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Education (Candidate should satisfy one of the following)
B.Sc./M.Sc. Mathematics or B.Sc./M.Sc. Statistics from a reputed college with good grades
B.Tech with good grades and strong quantitative aptitude
CFA/FRM Level 1 cleared
Any other degree with Financial Derivatives as a subject and through knowledge of Options Greeks (Portfolio Level, Risk Management, Hedging)
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Following skill sets are not required but candidate will get preference if he/she possesses any of the following:
Working knowledge of python for historical data analysis or working on real-time analytics getting feed from a web API (Data structures, numpy, scikit-learn, tensor flow)
MATLAB/R for Time series analysis
Knowledge of AFL ( Amibroker Formula Language)
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Steep learning curve
Extensive training on mathematics of derivatives market
Dynamic work environment.
Merit based growth
Quarterly bonuses Based on Performance post training period (where bonus can surpass the base salary)
Pay Structure:
Extensive training period(probation period) of 3 months(Stipend Paid during training period INR 20,000)
Pay Structure post the training period:
Base Salary of 5 Lacs p.a + Performance Bonuses
Working Hours:
We neither believe in staying unnecessary in office if there's nothing productive to be done nor do we believe in long unproductive lunch breaks.
Standard Market Hours : 8:45 – 5.00 p.m
Training Pre and Post market hours
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To design and develop machine learning and deep learning systems. Run machine learning tests andexperiments and implementing appropriate ML algorithms. Works cross-functionally with the Data Scientists, Software application developers and business groups for the development of innovative ML models. Use Agile experience to work collaboratively with other Managers/Owners in geographically distributed teams.
Accountabilities:
- Work with Data Scientists and Business Analysts to frame problems in a business context. Assist all the processes from data collection, cleaning, and preprocessing, to training models and deploying them to production.
- Understand business objectives and developing models that help to achieve them, along with metrics to track their progress.
- Explore and visualize data to gain an understanding of it, then identify differences in data distribution that could affect performance when deploying the model in the real world.
- Define validation strategies, preprocess or feature engineering to be done on a given dataset and data augmentation pipelines.
- Analyze the errors of the model and design strategies to overcome them.
- Collaborate with data engineers to build data and model pipelines, manage the infrastructure and data pipelines needed to bring code to production and demonstrate end-to-end understanding of applications (including, but not limited to, the machine learning algorithms) being created.
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- Experience of machine learning algorithms and libraries
- Understanding of data structures, data modeling and software architecture.
- Deep knowledge of math, probability, statistics and algorithms
- Experience with machine learning platforms such as Microsoft Azure, Google Cloud, IBM Watson, and Amazon
- Big data environment: Hadoop, Spark
- Programming languages: Python, R, PySpark
- Supervised & Unsupervised machine learning: linear regression, logistic regression, k-means
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- Sampling data: bagging & boosting, bootstrapping
- Neural networks: ANN, CNN, RNN related topics
- Deep learning: Keras, Tensorflow
- Experience with AWS Sagemaker deployment and agile methodology
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Full Stack Developer - Averlon